79 Consulting Engineer jobs in South Africa

“The best thing about Elomatic as an employer is the flexible attitude and trust in the employee. Flexible working hours and remote working opportunities have enabled me to have a running career at the Finnish championship level. Beside work I have had time to run for more than 7,000 km per year. I’ve worked remotely from training camps in Arizona, South Africa, Portugal and Spain. I would encourage future employees to take on tasks with a brisk attitude. The things taught in school are certainly useful, but the best way to learn the work is to do it. Co-workers help with new things and surprisingly quickly the work starts to go smoothly.” 1997 In middle school I completed my familiarization with working life at Elomatic. I met some of my current co-workers already back then. I didn’t do any design work, but I got to format floppy disks and diskettes! From those times I also remember a scale model workshop which was located in Elomatic’s basement. 2002 I started my studies at Tampere University of Technology with a major in mechanical engineering. Man is an adaptable creature! So although I am from Turku and there’s definitely some playful rivalry going on between these two cities, I survived in Tampere with no trouble. 2005 I got a summer job at Elomatic. After three years of studying, I already knew the basics and co-workers offered help with new things. I quickly got involved in actual projects. 2007 I did my master’s thesis for Elomatic. I was seconded to a client company and worked on an interesting product development project related to welding automation. 2008 After graduation, I continued to work at Elomatic doing strength calculations and steel structure design. After a while, I began to work solely on strength calculation as a Senior Design Engineer. Despite the title, I felt I was still quite a junior, but colleagues always helped when a new challenge came up. I got involved in diverse design projects and became familiar with large steel structures such as harbor cranes, welding automation equipment, paper machines, pipelines, ships and offshore ferries. 2014 I got to lead a bigger project for the first time when we did strength calculations for an amusement ride on a RCCL luxury cruiser. The ride was called the North Star and it even made it to the Guinness Book of Records (”Highest Viewing Deck on a Cruise Ship”). 2015 I spent six months on a secondment at Mac Gregor’s product development department. It was interesting to see the functions of another organization, but after the secondment I was happy to return to my own office. 2016 A major Global-class cruise ship design project began at Elomatic. I worked as a project leader in local strength calculations for the stern of the ship. During the multi-year project, my responsibilities increased, and my job title changed to Consulting Engineer. 2020 At the moment I work as a Senior Consulting Engineer. Beside working on strength calculations, I am constantly developing my skills. I am currently attending Elomatic’s Project Academy, which prepares me to lead more demanding projects. #J-18808-Ljbffr

About The Team

The Content Engineering teams at LexisNexis Intellectual Property (IP) are driving innovation in how patent data is processed, enriched, and leveraged. These teams comprise Data Engineers, Data Scientists, and Data Analysts, supported by subject matter experts in patent data. Our teams work closely with Databricks to migrate legacy ETL systems to a modern Strategic Data Platform built on Python, PySpark, and Databricks. This platform uses a medallion architecture to ingest, transform, and enrich global patent data. It will serve not only our flagship product PatentSight+ but also many other strategic products within our IP portfolio.

This is an opportunity to join a high-impact initiative still in its formative stages, where you can influence and evolve architecture, tooling, and best practices from the ground up.

About the Role

As the Principal Data Engineer for one of the Data Platform teams you will act as a technical lead in bringing new content and enrichments to the strategic Data Platform at LexisNexis IP. You will be instrumental in executing our data strategy for the Data Platform. Your role will be pivotal in developing and implementing advanced solutions for data integration, quality control, and continuous delivery, driving our data operations to new heights.

This is a senior technical individual contributor and does not have line management responsibilities. You will technically lead a high-performing agile team, guiding them through complex delivery projects, identifying technical needs, and devising innovative solutions. Your expertise will be crucial in embedding best practices and state-of-the-art data engineering tools, ensuring that our workflows are both efficient and scalable.

You will work closely with a range of technical leaders, data scientists, and data analysts across the Data Platform and the wider technology department. With colleagues based in the UK and EU, you will also engage with a diverse range of stakeholders across the UK, Germany, Netherlands, and the USA.

What does success look like? In the first 3 months you will lead and deliver content expansion ETL’s in our key pipeline’s, setting architectural best practices and standards as you go. You will build networks with other teams in Content, especially on the Data Platform.

Responsibilities

• Architect and lead the development of our patent data ingestion pipeline using Databricks, Python, and PySpark.
• Mentor and guide a team of data engineers, fostering a collaborative environment that encourages growth and innovation. You will enable and lead technical discussions within the team and with stakeholders.
• Ensure the pipeline is efficient, scalable, and robust, capable of handling terabytes of data with low latency. Eliminate inefficiencies and teach the techniques to the team.
• Work closely with the wider cross-functional engineering department, including data scientists, analysts, and product managers, to ensure the pipeline meets business needs.
• Contribute to the overall data engineering strategy and drive the adoption of best practices in coding, architecture, and deployment.
• Identify and resolve technical challenges, ensuring the smooth operation of the data ingestion pipeline.
• Translate strategic business objectives into technical architecture and delivery plans.
• Contribute to platform-wide standards, tooling, and architecture decisions.

Requirements

• Expertise in Python and PySpark is essential for you to lead and develop the skills of the team.
• Expertise in Databricks would be highly desirable and advantageous.
• Demonstrated ability to design and implement scalable data architectures for both batch and streaming data processing.
• Proficiency in using cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure management would be beneficial.
• Prior experience with Patent data, or other complex data sources, is extremely beneficial.
• Knowledge of data governance practices, including data quality management, metadata management, and data lineage is also beneficial.
• Exposure to CI/CD for data pipelines using tools like GitHub Actions, Azure DevOps, or Airflow.
• Proven experience in technically leading and mentoring data engineering teams.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Medical Aid

• Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)

• Modern family benefits, including adoption and surrogacy

• Study Leave

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1- .

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .

Please read our Candidate Privacy Policy .

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights .

#J-18808-Ljbffr

About The Team

The Content Engineering teams at LexisNexis Intellectual Property (IP) are driving innovation in how patent data is processed, enriched, and leveraged. These teams comprise Data Engineers, Data Scientists, and Data Analysts, supported by subject matter experts in patent data. Our teams work closely with Databricks to migrate legacy ETL systems to a modern Strategic Data Platform built on Python, PySpark, and Databricks. This platform uses a medallion architecture to ingest, transform, and enrich global patent data. It will serve not only our flagship product PatentSight+ but also many other strategic products within our IP portfolio.

This is an opportunity to join a high-impact initiative still in its formative stages, where you can influence and evolve architecture, tooling, and best practices from the ground up.

About the Role

As the Principal Data Engineer for one of the Data Platform teams you will act as a technical lead in bringing new content and enrichments to the strategic Data Platform at LexisNexis IP. You will be instrumental in executing our data strategy for the Data Platform. Your role will be pivotal in developing and implementing advanced solutions for data integration, quality control, and continuous delivery, driving our data operations to new heights.

This is a senior technical individual contributor and does not have line management responsibilities. You will technically lead a high-performing agile team, guiding them through complex delivery projects, identifying technical needs, and devising innovative solutions. Your expertise will be crucial in embedding best practices and state-of-the-art data engineering tools, ensuring that our workflows are both efficient and scalable.

You will work closely with a range of technical leaders, data scientists, and data analysts across the Data Platform and the wider technology department. With colleagues based in the UK and EU, you will also engage with a diverse range of stakeholders across the UK, Germany, Netherlands, and the USA.

What does success look like? In the first 3 months you will lead and deliver content expansion ETL’s in our key pipeline’s, setting architectural best practices and standards as you go. You will build networks with other teams in Content, especially on the Data Platform.

Responsibilities

• Architect and lead the development of our patent data ingestion pipeline using Databricks, Python, and PySpark.
• Mentor and guide a team of data engineers, fostering a collaborative environment that encourages growth and innovation. You will enable and lead technical discussions within the team and with stakeholders.
• Ensure the pipeline is efficient, scalable, and robust, capable of handling terabytes of data with low latency. Eliminate inefficiencies and teach the techniques to the team.
• Work closely with the wider cross-functional engineering department, including data scientists, analysts, and product managers, to ensure the pipeline meets business needs.
• Contribute to the overall data engineering strategy and drive the adoption of best practices in coding, architecture, and deployment.
• Identify and resolve technical challenges, ensuring the smooth operation of the data ingestion pipeline.
• Translate strategic business objectives into technical architecture and delivery plans.
• Contribute to platform-wide standards, tooling, and architecture decisions.

Requirements

• Expertise in Python and PySpark is essential for you to lead and develop the skills of the team.
• Expertise in Databricks would be highly desirable and advantageous.
• Demonstrated ability to design and implement scalable data architectures for both batch and streaming data processing.
• Proficiency in using cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure management would be beneficial.
• Prior experience with Patent data, or other complex data sources, is extremely beneficial.
• Knowledge of data governance practices, including data quality management, metadata management, and data lineage is also beneficial.
• Exposure to CI/CD for data pipelines using tools like GitHub Actions, Azure DevOps, or Airflow.
• Proven experience in technically leading and mentoring data engineering teams.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Medical Aid

• Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)

• Modern family benefits, including adoption and surrogacy

• Study Leave

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1- .

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .

Please read our Candidate Privacy Policy .

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights .

#J-18808-Ljbffr

With a strong portfolio across commercial, residential, healthcare, and education sectors, we are expanding our team and seeking a talented and motivated Consulting Electrical Engineer to join our Building Services division.

As a Consulting Electrical Engineer , you will be responsible for the design, specification, and coordination of electrical building services systems. You will work closely with architects, other engineering disciplines, and clients to deliver projects from concept through to completion.
Key Responsibilities:

• Design and specification of electrical building services including power, lighting, fire alarms, and security systems.
• Prepare technical reports, drawings, and documentation.
• Conduct site visits, inspections, and surveys.
• Liaise with clients, contractors, and multidisciplinary teams.
• Ensure designs comply with relevant regulations and sustainability standards.
• Participate in project meetings and design reviews.
• Assist with mentoring junior engineers where applicable.

Requirements:

• Degree in Electrical Engineering or Building Services Engineering.
• Minimum (35+) years experience in electrical design within building services consultancy.
• Proficient in software such as AutoCAD, Revit, Dialux/Relux, and Amtech.
• Strong knowledge of relevant codes and standards (e.g., BS, IEC, IEE Wiring Regulations).
• Excellent communication and interpersonal skills.
• Chartered Engineer status (or working towards) is desirable.

About The Team
The Content Engineering teams at LexisNexis Intellectual Property (IP) are driving innovation in how patent data is processed, enriched, and leveraged. These teams comprise Data Engineers, Data Scientists, and Data Analysts, supported by subject matter experts in patent data. Our teams work closely with Databricks to migrate legacy ETL systems to a modern Strategic Data Platform built on Python, PySpark, and Databricks. This platform uses a medallion architecture to ingest, transform, and enrich global patent data. It will serve not only our flagship product PatentSight+ but also many other strategic products within our IP portfolio.
This is an opportunity to join a high-impact initiative still in its formative stages, where you can influence and evolve architecture, tooling, and best practices from the ground up.
About the Role
As the Principal Data Engineer for one of the Data Platform teams you will act as a technical lead in bringing new content and enrichments to the strategic Data Platform at LexisNexis IP. You will be instrumental in executing our data strategy for the Data Platform. Your role will be pivotal in developing and implementing advanced solutions for data integration, quality control, and continuous delivery, driving our data operations to new heights.
This is a senior technical individual contributor and does not have line management responsibilities. You will technically lead a high-performing agile team, guiding them through complex delivery projects, identifying technical needs, and devising innovative solutions. Your expertise will be crucial in embedding best practices and state-of-the-art data engineering tools, ensuring that our workflows are both efficient and scalable.
You will work closely with a range of technical leaders, data scientists, and data analysts across the Data Platform and the wider technology department. With colleagues based in the UK and EU, you will also engage with a diverse range of stakeholders across the UK, Germany, Netherlands, and the USA.
What does success look like? In the first 3 months you will lead and deliver content expansion ETL's in our key pipeline's, setting architectural best practices and standards as you go. You will build networks with other teams in Content, especially on the Data Platform.
Responsibilities
+ Architect and lead the development of our patent data ingestion pipeline using Databricks, Python, and PySpark.
+ Mentor and guide a team of data engineers, fostering a collaborative environment that encourages growth and innovation. You will enable and lead technical discussions within the team and with stakeholders.
+ Ensure the pipeline is efficient, scalable, and robust, capable of handling terabytes of data with low latency. Eliminate inefficiencies and teach the techniques to the team.
+ Work closely with the wider cross-functional engineering department, including data scientists, analysts, and product managers, to ensure the pipeline meets business needs.
+ Contribute to the overall data engineering strategy and drive the adoption of best practices in coding, architecture, and deployment.
+ Identify and resolve technical challenges, ensuring the smooth operation of the data ingestion pipeline.
+ Translate strategic business objectives into technical architecture and delivery plans.
+ Contribute to platform-wide standards, tooling, and architecture decisions.
Requirements
+ Expertise in Python and PySpark is essential for you to lead and develop the skills of the team.
+ Expertise in Databricks would be highly desirable and advantageous.
+ Demonstrated ability to design and implement scalable data architectures for both batch and streaming data processing.
+ Proficiency in using cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure management would be beneficial.
+ Prior experience with Patent data, or other complex data sources, is extremely beneficial.
+ Knowledge of data governance practices, including data quality management, metadata management, and data lineage is also beneficial.
+ Exposure to CI/CD for data pipelines using tools like GitHub Actions, Azure DevOps, or Airflow.
+ Proven experience in technically leading and mentoring data engineering teams.
+ Proven experience in technically leading and mentoring data engineering teams. Familiarity with Agile methodologies, including Scrum and Kanban, and experience working in an Agile team environment.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
+ Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
+ Medical Aid
+ Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
+ Modern family benefits, including adoption and surrogacy
+ Study Leave
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1- .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

About The Team
The Content Engineering teams at LexisNexis Intellectual Property (IP) are driving innovation in how patent data is processed, enriched, and leveraged. These teams comprise Data Engineers, Data Scientists, and Data Analysts, supported by subject matter experts in patent data. Our teams work closely with Databricks to migrate legacy ETL systems to a modern Strategic Data Platform built on Python, PySpark, and Databricks. This platform uses a medallion architecture to ingest, transform, and enrich global patent data. It will serve not only our flagship product PatentSight+ but also many other strategic products within our IP portfolio.
This is an opportunity to join a high-impact initiative still in its formative stages, where you can influence and evolve architecture, tooling, and best practices from the ground up.
About the Role
As the Principal Data Engineer for one of the Data Platform teams you will act as a technical lead in bringing new content and enrichments to the strategic Data Platform at LexisNexis IP. You will be instrumental in executing our data strategy for the Data Platform. Your role will be pivotal in developing and implementing advanced solutions for data integration, quality control, and continuous delivery, driving our data operations to new heights.
This is a senior technical individual contributor and does not have line management responsibilities. You will technically lead a high-performing agile team, guiding them through complex delivery projects, identifying technical needs, and devising innovative solutions. Your expertise will be crucial in embedding best practices and state-of-the-art data engineering tools, ensuring that our workflows are both efficient and scalable.
You will work closely with a range of technical leaders, data scientists, and data analysts across the Data Platform and the wider technology department. With colleagues based in the UK and EU, you will also engage with a diverse range of stakeholders across the UK, Germany, Netherlands, and the USA.
What does success look like? In the first 3 months you will lead and deliver content expansion ETL's in our key pipeline's, setting architectural best practices and standards as you go. You will build networks with other teams in Content, especially on the Data Platform.
Responsibilities
+ Architect and lead the development of our patent data ingestion pipeline using Databricks, Python, and PySpark.
+ Mentor and guide a team of data engineers, fostering a collaborative environment that encourages growth and innovation. You will enable and lead technical discussions within the team and with stakeholders.
+ Ensure the pipeline is efficient, scalable, and robust, capable of handling terabytes of data with low latency. Eliminate inefficiencies and teach the techniques to the team.
+ Work closely with the wider cross-functional engineering department, including data scientists, analysts, and product managers, to ensure the pipeline meets business needs.
+ Contribute to the overall data engineering strategy and drive the adoption of best practices in coding, architecture, and deployment.
+ Identify and resolve technical challenges, ensuring the smooth operation of the data ingestion pipeline.
+ Translate strategic business objectives into technical architecture and delivery plans.
+ Contribute to platform-wide standards, tooling, and architecture decisions.
Requirements
+ Expertise in Python and PySpark is essential for you to lead and develop the skills of the team.
+ Expertise in Databricks would be highly desirable and advantageous.
+ Demonstrated ability to design and implement scalable data architectures for both batch and streaming data processing.
+ Proficiency in using cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure management would be beneficial.
+ Prior experience with Patent data, or other complex data sources, is extremely beneficial.
+ Knowledge of data governance practices, including data quality management, metadata management, and data lineage is also beneficial.
+ Exposure to CI/CD for data pipelines using tools like GitHub Actions, Azure DevOps, or Airflow.
+ Proven experience in technically leading and mentoring data engineering teams.
+ Proven experience in technically leading and mentoring data engineering teams. Familiarity with Agile methodologies, including Scrum and Kanban, and experience working in an Agile team environment.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
+ Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
+ Medical Aid
+ Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
+ Modern family benefits, including adoption and surrogacy
+ Study Leave
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1- .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

About The Team
The Content Engineering teams at LexisNexis Intellectual Property (IP) are driving innovation in how patent data is processed, enriched, and leveraged. These teams comprise Data Engineers, Data Scientists, and Data Analysts, supported by subject matter experts in patent data. Our teams work closely with Databricks to migrate legacy ETL systems to a modern Strategic Data Platform built on Python, PySpark, and Databricks. This platform uses a medallion architecture to ingest, transform, and enrich global patent data. It will serve not only our flagship product PatentSight+ but also many other strategic products within our IP portfolio.
This is an opportunity to join a high-impact initiative still in its formative stages, where you can influence and evolve architecture, tooling, and best practices from the ground up.
About the Role
As the Principal Data Engineer for one of the Data Platform teams you will act as a technical lead in bringing new content and enrichments to the strategic Data Platform at LexisNexis IP. You will be instrumental in executing our data strategy for the Data Platform. Your role will be pivotal in developing and implementing advanced solutions for data integration, quality control, and continuous delivery, driving our data operations to new heights.
This is a senior technical individual contributor and does not have line management responsibilities. You will technically lead a high-performing agile team, guiding them through complex delivery projects, identifying technical needs, and devising innovative solutions. Your expertise will be crucial in embedding best practices and state-of-the-art data engineering tools, ensuring that our workflows are both efficient and scalable.
You will work closely with a range of technical leaders, data scientists, and data analysts across the Data Platform and the wider technology department. With colleagues based in the UK and EU, you will also engage with a diverse range of stakeholders across the UK, Germany, Netherlands, and the USA.
What does success look like? In the first 3 months you will lead and deliver content expansion ETL's in our key pipeline's, setting architectural best practices and standards as you go. You will build networks with other teams in Content, especially on the Data Platform.
Responsibilities
+ Architect and lead the development of our patent data ingestion pipeline using Databricks, Python, and PySpark.
+ Mentor and guide a team of data engineers, fostering a collaborative environment that encourages growth and innovation. You will enable and lead technical discussions within the team and with stakeholders.
+ Ensure the pipeline is efficient, scalable, and robust, capable of handling terabytes of data with low latency. Eliminate inefficiencies and teach the techniques to the team.
+ Work closely with the wider cross-functional engineering department, including data scientists, analysts, and product managers, to ensure the pipeline meets business needs.
+ Contribute to the overall data engineering strategy and drive the adoption of best practices in coding, architecture, and deployment.
+ Identify and resolve technical challenges, ensuring the smooth operation of the data ingestion pipeline.
+ Translate strategic business objectives into technical architecture and delivery plans.
+ Contribute to platform-wide standards, tooling, and architecture decisions.
Requirements
+ Expertise in Python and PySpark is essential for you to lead and develop the skills of the team.
+ Expertise in Databricks would be highly desirable and advantageous.
+ Demonstrated ability to design and implement scalable data architectures for both batch and streaming data processing.
+ Proficiency in using cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure management would be beneficial.
+ Prior experience with Patent data, or other complex data sources, is extremely beneficial.
+ Knowledge of data governance practices, including data quality management, metadata management, and data lineage is also beneficial.
+ Exposure to CI/CD for data pipelines using tools like GitHub Actions, Azure DevOps, or Airflow.
+ Proven experience in technically leading and mentoring data engineering teams.
+ Proven experience in technically leading and mentoring data engineering teams. Familiarity with Agile methodologies, including Scrum and Kanban, and experience working in an Agile team environment.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
+ Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
+ Medical Aid
+ Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
+ Modern family benefits, including adoption and surrogacy
+ Study Leave
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1- .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

With a strong portfolio across commercial, residential, healthcare, and education sectors, we are expanding our team and seeking a talented and motivated Consulting Electrical Engineer to join our Building Services division.As a Consulting Electrical Engineer , you will be responsible for the design, specification, and coordination of electrical building services systems. You will work closely with architects, other engineering disciplines, and clients to deliver projects from concept through to completion.Key Responsibilities: Design and specification of electrical building services including power, lighting, fire alarms, and security systems. Prepare technical reports, drawings, and documentation. Conduct site visits, inspections, and surveys. Liaise with clients, contractors, and multidisciplinary teams. Ensure designs comply with relevant regulations and sustainability standards. Participate in project meetings and design reviews. Assist with mentoring junior engineers where applicable. Requirements: Degree in Electrical Engineering or Building Services Engineering. Minimum (35+) years experience in electrical design within building services consultancy. Proficient in software such as Auto CAD, Revit, Dialux/Relux, and Amtech. Strong knowledge of relevant codes and standards (e.g., BS, IEC, IEE Wiring Regulations). Excellent communication and interpersonal skills. Chartered Engineer status (or working towards) is desirable.

Job Reference: GTG001375-CG-3

This role offers you the experience and exposure to gain insight into starting your own consulting business. You will receive not only technical exposure but also significant business exposure. If you are an engineer with entrepreneurial aspirations, consider joining this consulting firm, which offers great bonuses and exposure to renewable energy projects.

Duties & Responsibilities

Qualification Requirements:
BEng Electrical Engineering
ECSA registration, or willingness to register.

Experience:
0-2 years experience within design and project management of HV electrical work, including substation, reticulation, and transmission line design.

You will gain design and project management experience, as well as exposure to renewable energy, construction, and property development.

Please apply online if this is the type of opportunity you are looking for. If you have not received feedback within two weeks, please consider your application unsuccessful.

Package & Remuneration

R 25000 - R 5000 - Monthly

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