211 Analytics Lead jobs in South Africa

Join to apply for the Video Analytics Lead role at ExecutivePlacements.com - The JOB Portal

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SUMMARY:

Head up Video analytics practice leveraging a combination of computer vision, AI, and video analytics experience to augment our extensive camera network and software platform.

Recruiter:

Sydsen

Job Ref:

DT000518/TM

Date posted:

Monday, June 23, 2025

Location:

Johannesburg, South Africa

Salary:

Monthly

SUMMARY:

Head up Video analytics practice leveraging a combination of computer vision, AI, and video analytics experience to augment our extensive camera network and software platform.

This role will research, evaluate, implement, and support best-of-breed video analytics solutions to integrate into our market-leading application to deliver cutting edge video AI and classification technology as a commercial service to our clients.

The Video Analytics Lead will work with our technology and software development teams to ensure we at the forefront of Video AI.

POSITION INFO:

Our client in the IT Industr y is looking for a Video Analytics Lead to join their team in Johannesburg, Gauteng.

Minimum Requirements:

• Degree/ Diploma in Information Technology
• Experience with Video Analytics, computer vision, YOLO, OpenCV or other deep learning technologies
• Tertiary qualification in Machine Learning principles and implementation
• A minimum 5 years experience in an IT role
• Experience with IP video management systems and video analytics
• Experience working with IP video surveillance cameras.
• Knowledge of video analytics market, capabilities, and limitations
• Have strong interpersonal and communication skills with staff at various levels.
• Creative, solution driven attitude
• Be willing to work in an agile environment where changes are frequent, and technologies evolve
  
  

Duties and Responsibilities:

• Analyse and optimise current usage of Video Analytics.
• Make recommendations to both internal and external stakeholders on how video analytics should be implemented.
• Become the computer vision subject matter expert in our business.
• Perform competitive analysis and recommend improvements and enhancements.
• Assist with optimisation of our platform for processing of video analytics.
• Train and mentor operational staff on optimal configuration of video analytics.
• Keep up to date with the latest trends in video analytics technology.
• Brief development teams on integration to existing software platforms
• Source and recommend video analytics solutions for market vertical applications (retail, manufacturing, public safety, etc.)
• Optimise existing analytics for peak performance and accuracy.
• Work with the product and sales teams to ensure we develop viable commercial offerings.
• Improve operational efficiency and effectiveness of video analytics at scale
  
  
  
  

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Research, Analyst, and Information Technology
• Industries Advertising Services

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Soweto, Gauteng, South Africa 4 weeks ago

Johannesburg, Gauteng, South Africa 6 days ago

Midrand, Gauteng, South Africa 3 weeks ago

Benoni, Gauteng, South Africa 3 weeks ago

Alberton, Gauteng, South Africa 1 day ago

Business Analytics & Insights Specialist

Sandton, Gauteng, South Africa 3 weeks ago

Johannesburg, Gauteng, South Africa 3 days ago

Johannesburg, Gauteng, South Africa 1 day ago

Roodepoort, Gauteng, South Africa 1 week ago

Johannesburg, Gauteng, South Africa 6 days ago

Johannesburg Metropolitan Area 3 days ago

Sandton, Gauteng, South Africa 2 weeks ago

Johannesburg Metropolitan Area 1 week ago

Vacation Work Student - Consulting Analyst

Johannesburg, Gauteng, South Africa 3 days ago

Capabilities & Insights Analyst - Consumer Sector Manager - Data Analytics and Continuous Control Monitoring

Roodepoort, Gauteng, South Africa 6 days ago

City of Johannesburg, Gauteng, South Africa 2 days ago

Johannesburg, Gauteng, South Africa 6 days ago

Bryanston, Gauteng, South Africa 1 week ago

Johannesburg, Gauteng, South Africa 10 hours ago

Johannesburg, Gauteng, South Africa 4 days ago

SATIC - Data & Insights (Senior Associate)

Johannesburg Metropolitan Area 3 days ago

Risk Intelligence and Reporting Analyst - Contract

Johannesburg Metropolitan Area 1 week ago

Johannesburg Metropolitan Area 8 hours ago

City of Johannesburg, Gauteng, South Africa 2 weeks ago

Johannesburg, Gauteng, South Africa 3 days ago

Johannesburg, Gauteng, South Africa 1 week ago

Johannesburg, Gauteng, South Africa 3 days ago

Johannesburg, Gauteng, South Africa 8 hours ago

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Overview

Head up Video analytics practice leveraging a combinationofcomputer vision, AI, and video analytics experience to augment our extensive camera network and software platform.

This role will research, evaluate, implement, and support best-of-breed video analytics solutions to integrate into our market-leading application to deliver cutting edge video AI and classification technology as a commercial service to our clients.

The Video Analytics Lead will work with our technology and software developmentteams to ensure we at the forefront of Video AI.

Responsibilities

• Analyse and optimize current usage of Video Analytics.
• Make recommendations to both internal and external stakeholders on how video analytics should be implemented.
• Become the computer vision subject matter expert in our business.
• Perform competitive analysis and recommend improvements and enhancements.
• Assist with optimisation of ourplatform for processing of video analytics.
• Train and mentor operational staff on optimal configuration of video analytics.
• Keep up to date with the latest trends in video analytics technology.
• Brief development teams on integration to existing software platforms
• Source and recommend video analytics solutions for market vertical applications (retail, manufacturing, public safety, etc.)
• Optimise existing analytics for peak performance and accuracy.
• Work with the product and sales teams to ensure we develop viable commercial offerings.
• Improve operational efficiency and effectiveness of video analytics at scale

Qualifications

• Degree/ Diploma in Information Technology
• Experience with Video Analytics, computer vision, YOLO, OpenCV or other deep learning technologies
• Tertiary qualification in Machine Learning principles and implementation

Skills & Experience

• A minimum 5 years experience in an IT role
• Experience with IP video management systems and video analytics
• Experience working with IP video surveillance cameras.
• Knowledge of video analytics market, capabilities, and limitations
• Have strong interpersonal and communication skills with staff at various levels.
• Creative, solution driven attitude
• Be willing to work in an agile environment where changes are frequent, and technologies evolve

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Requirements

• Minimum of 5 years of experience in digital marketing analytics, tracking, and reporting.
• Proficiency in key analytics tools such as Google Analytics 4 (GA4), Google Tag Manager (GTM), Supermetrics, and Looker Studio.
• Proven experience in connecting analytics and tracking systems with HubSpot, Calendly, and additional third-party websites and CRMs.
• Ability to communicate directly with clients is a nice plus, but at the very least, experience in effectively communicating data insights to internal teams.
• Demonstrated commitment to personal and professional growth, with a proactive attitude towards learning and staying updated with industry advancements.

What You’ll Be Working On

Who We Are:

Single Grain is an award-winning digital marketing agency that has been dedicated to driving persistent growth for remarkable companies like Amazon, Uber, and Salesforce since 2009. We provide industry-leading services around Paid Media, SEO, Content Marketing, CRO, and more.

We are a team of digital marketers who love what we do, helping pioneers grow by empowering our clients with winning strategies that lead to faster growth. As a top digital marketing agency, we pride ourselves on staying up to date with new algorithms, technology, and trends.

Who You Are:

We are looking for a Data Analytics Manager who embodies our values of humility, hunger, and intelligence. You are a self-driven professional with a strong entrepreneurial spirit, a passion for staying current with industry trends, and an insatiable curiosity. Your exceptional time management, organizational skills, and outstanding communication abilities set you apart. You thrive in a dynamic environment and consistently display a growth mindset.

If you are a results-oriented, innovative, and growth-driven data enthusiast with a fervor for making data insights accessible to clients, consider joining our team as a Data Analytics Manager. Help us shape the future of data-driven decision-making in digital marketing.

Responsibilities:

• Mastery of Digital Marketing Analytics: Showcase a deep understanding of digital marketing analytics, tracking, and reporting. Lead strategic implementation across client portfolios.
• Tools Proficiency: Demonstrate proficiency in a suite of analytics tools, including Google Analytics 4 (GA4), Google Tag Manager (GTM), Supermetrics, and Looker Studio.
• Integration Expertise: Utilize your experience in connecting analytics and tracking systems with HubSpot, Calendly, and other third-party websites and CRM systems. Ensure comprehensive data collection.
• Effective Communication: Leverage your communication skills to engage with clients and collaborate with internal teams to translate complex data findings into digestible formats.
• Continuous Learning: Exhibit a strong willingness to learn and grow, staying at the forefront of industry developments and emerging tools.

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Job Description

A reputable company, known for its expertise in packaging material manufacturing, is currently in search of a Reporting Analytics Lead. The duties associated with the position of Reporting Analytics Lead include collaborating with the team to transition legacy applications to modern technologies, directing team endeavors to ensure successful project completion, and working alongside Software Developers, Business Analysts, Systems Analysts, and Test Analysts to strategize, create, test, and uphold business applications.

Requirements

1. Bachelor of Science (BSc) in Information Technology.
2. 5 years of experience as a Reporting Analyst.
3. 5 years of experience in developing Business Intelligence (BI) reports across various platforms.
4. 4 years of experience in crafting reporting strategies for the company.
5. 3 years of experience with ClickView solution implementation and team leadership.

If you are ready to lead the way in reporting analysis, then apply now for the Reporting Analytics Lead position at and take your career to the next level.

Engaging as a Reporting Analytics Lead offers the advantage of participating in collaborative efforts with diverse stakeholders, enriching your comprehension of business operations and bolstering your professional connections, thereby enhancing your career opportunities.

Posted By

Sikho Mdedetyana

• HR Services, Recruitment & Selection

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Job Description A reputable company, known for its expertise in packaging material manufacturing, is currently in search of a Reporting Analytics Lead. The duties associated with the position of Reporting Analytics Lead include collaborating with the team to transition legacy applications to modern technologies, directing team endeavors to ensure successful project completion, and working alongside Software Developers, Business Analysts, Systems Analysts, and Test Analysts to strategize, create, test, and uphold business applications. Requirements Bachelor of Science (BSc) in Information Technology. 5 years of experience as a Reporting Analyst. 5 years of experience in developing Business Intelligence (BI) reports across various platforms. 4 years of experience in crafting reporting strategies for the company. 3 years of experience with Click View solution implementation and team leadership. If you are ready to lead the way in reporting analysis, then apply now for the Reporting Analytics Lead position at and take your career to the next level. Engaging as a Reporting Analytics Lead offers the advantage of participating in collaborative efforts with diverse stakeholders, enriching your comprehension of business operations and bolstering your professional connections, thereby enhancing your career opportunities. Posted By Sikho Mdedetyana HR Services, Recruitment & Selection #J-18808-Ljbffr

Requirements Minimum of 5 years of experience in digital marketing analytics, tracking, and reporting. Proficiency in key analytics tools such as Google Analytics 4 (GA4), Google Tag Manager (GTM), Supermetrics, and Looker Studio. Proven experience in connecting analytics and tracking systems with Hub Spot, Calendly, and additional third-party websites and CRMs. Ability to communicate directly with clients is a nice plus, but at the very least, experience in effectively communicating data insights to internal teams. Demonstrated commitment to personal and professional growth, with a proactive attitude towards learning and staying updated with industry advancements. What You’ll Be Working On Who We Are: Single Grain is an award-winning digital marketing agency that has been dedicated to driving persistent growth for remarkable companies like Amazon, Uber, and Salesforce since 2009. We provide industry-leading services around Paid Media, SEO, Content Marketing, CRO, and more. We are a team of digital marketers who love what we do, helping pioneers grow by empowering our clients with winning strategies that lead to faster growth. As a top digital marketing agency, we pride ourselves on staying up to date with new algorithms, technology, and trends. Who You Are: We are looking for a Data Analytics Manager who embodies our values of humility, hunger, and intelligence. You are a self-driven professional with a strong entrepreneurial spirit, a passion for staying current with industry trends, and an insatiable curiosity. Your exceptional time management, organizational skills, and outstanding communication abilities set you apart. You thrive in a dynamic environment and consistently display a growth mindset. If you are a results-oriented, innovative, and growth-driven data enthusiast with a fervor for making data insights accessible to clients, consider joining our team as a Data Analytics Manager. Help us shape the future of data-driven decision-making in digital marketing. Responsibilities: Mastery of Digital Marketing Analytics: Showcase a deep understanding of digital marketing analytics, tracking, and reporting. Lead strategic implementation across client portfolios. Tools Proficiency: Demonstrate proficiency in a suite of analytics tools, including Google Analytics 4 (GA4), Google Tag Manager (GTM), Supermetrics, and Looker Studio. Integration Expertise: Utilize your experience in connecting analytics and tracking systems with Hub Spot, Calendly, and other third-party websites and CRM systems. Ensure comprehensive data collection. Effective Communication: Leverage your communication skills to engage with clients and collaborate with internal teams to translate complex data findings into digestible formats. Continuous Learning: Exhibit a strong willingness to learn and grow, staying at the forefront of industry developments and emerging tools. #J-18808-Ljbffr

Who Are We Founded in 2017, Lokalise is a cloud-based translation management system that helps businesses streamline their localization processes. It provides a platform for managing translations of software, websites, mobile apps, and other digital content. Overall, Lokalise helps businesses improve their time-to-market, increase translation quality, and reduce costs associated with localization. Location Even though our company operates exclusively on a remote basis, you are required to reside in Europe (continent) and have legal work eligibility within the country you will be based. About As the Data Analytics Lead at Lokalise, you will spearhead our data analytics initiatives and foster a data-driven culture across the company. Your leadership will ensure that comprehensive, end-to-end analytics support our product and growth strategy, empowering decision-making and innovation at every level. This full-time, remote role demands a visionary leader passionate about leveraging data to unlock insights, optimize performance, and drive growth. You Will Build and Mentor: lead a team of data analysts and scientists, fostering a culture of excellence, collaboration, and continuous learning. Lead and Expand Analytics Vision: develop and implement a comprehensive analytics strategy that aligns with our product and growth objectives, overseeing all aspects of company data analytics from collection to interpretation. Build and consolidate our data foundations ensuring the data analytics team’s present and future, enhancing and consolidating future analysis. Develop and Maintain a Single Source of Truth: own the design, development, automation, and maintenance of ongoing metrics, reports, analyses, and dashboards on the key drivers of our business Foster Data-Driven Culture: champion the use of data in strategic decision-making, ensuring data accessibility and literacy across all departments. Collaborate and Influence: work closely with finance, product, engineering, sales, marketing, and customer success teams to ensure that analytics insights inform product development, go-to-market strategies, and customer experiences. Work hand-to-hand with our Product team to define our Tracking plan, and make sure we observe and understand our users across the product funnel 360º. Drive Innovation: Identify opportunities for data to create competitive advantage and support new product features or business models. Ensure Data Integrity: Oversee the development and maintenance of robust data infrastructure, data governance policies, and privacy standards to ensure data accuracy and security. You Must Have A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field. Extensive experience in data analytics, preferably in a product-led growth company, with a proven track record of leveraging data to drive decision-making and growth. Strong leadership skills with experience building and managing analytics teams. Proficiency in analytics and data tools and technologies (e.g., SQL, Python, Metabase, DBT, Kafka, etc.) and knowledge of statistical analysis, predictive modeling, and machine learning techniques. Excellent communication skills, with the ability to translate complex data insights into actionable strategies across different organizational levels. It will be considered a significant advantage if you bring Experience in a high-growth tech or Saa S environment Our Benefits Competitive salary and employee stock options plan Fully remote and flexible working hours Co-working budget Unlimited vacation policy Top-notch tech equipment for your work Learning & Development program Health insurance Wellness benefits Mental health support – every employee has access to a dedicated mental health platform Great startup atmosphere, team spirit, and team events We are committed to a culture of inclusion and equal opportunities. Therefore, we welcome applications from people of all gender identities, sexual orientations, personal expressions, relationship, marital, or civil partnership statuses, racial identities, national or ethnic origins, religious beliefs, ages, and disability statuses. #J-18808-Ljbffr

Join to apply for the Data Analytics & AI Lead role at Scatec ASA

1 day ago Be among the first 25 applicants

Join to apply for the Data Analytics & AI Lead role at Scatec ASA

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Want to join a frontrunner in renewable energy that is actively seeking early entry into new markets globally? Since the establishment in 2007, Scatec has acquired extensive knowledge and experience in developing, building and operating solar, wind and hydro power plants and storage solutions. Driven by our company values and competent global workforce, we aim to deliver competitive and sustainable renewable energy globally; protect our environment and improve quality of life through innovative integration of technology; and create shareholder value. We are present on four continents and are headquartered in Oslo, Norway.

Main purpose of position

Currently we are looking for a Data Analytics & AI Lead in Cape Town, South Africa to be part of our global team working together towards our vision – Improving our future. As our Data Analytics & AI Lead you will lead the design and expansion of the Data & Analytics Platform through hands-on work in Azure Databricks, work closely with global teams and Digital & IT to align data needs and integrate solutions, drive adoption of data-driven workflows in partnership with business stakeholders, and develop AI use cases that support strategic decisions.

Main Responsibilities

• Lead the development and implementation of data analytics and AI strategies to drive business growth and innovation.
• Oversee the design and execution of data-driven projects, ensuring alignment with organizational goals and objectives.
• Guide the platform's evolution by adopting Modern Data Architecture practices, including Infrastructure as Code (IaC) and Azure DevOps for agile development and operations (DataOps).
• Collaborate with cross-functional teams to integrate data analytics and AI solutions into existing systems and processes, ensuring seamless adoption and scalability.
• Stay abreast of industry trends and advancements in AI and data analytics, incorporating relevant insights into strategic planning and execution.
• Provide guidance and mentorship to team members, fostering a culture of continuous learning and improvement.
• Work closely with the Head of Enterprise Architecture to ensure alignment and integration of the Data & Analytics Platform within the broader enterprise architecture landscape.
• Ensure compliance with data privacy and security regulations, maintaining the integrity and confidentiality of sensitive information
  
  
  
  

Qualifications And Competencies

• 8+ years of relevant experience in data architecture, data management and data modelling
• Extensive experience in data architecture, particularly within a modern data environment utilizing Azure Databricks, dbt, Terraform, and Azure DevOps.
• Significant hands-on experience in data engineering, including but not limited to the development and optimization of data pipelines, data modelling, and data lakehouse.
• Proven track record in leading the development and expansion of large-scale data platforms, preferably within a Modern Data Architecture deployment.
• Strong familiarity with cloud-based data solutions, particularly within the Azure ecosystem.
• Experience leading and managing cross-functional teams, including business analysts, data analysts, and data engineers.
• Interest in data analytics trends and advancements, e.g. AI, Industry 4.0
• Expertise in SQL and Python for advanced data manipulation, modelling, analysis, and processing within a Data Lakehouse context.
• Familiar with modern data transformation tools, such as dbt
• Strong experience with Azure cloud data services, particularly those relevant to Data Lakehouse architecture such as Azure Data Lake Storage, Azure Databricks, and related technologies.
  
  
  
  

Personal characteristics

It is part of every employee’s terms of reference to contribute to Scatec's vision: Improving our Future and adhere to our company values which are:

• Predictable: demonstrate clear communication and listening skills, shares information in an open and honest way
• Driving results: demonstrate determination, pro-activeness, can prioritise and work independently
• Changemaker: demonstrate entrepreneurship, can challenge, fast learner, take initiates and adjust
• Working together: demonstrate teamwork, shares responsibilities, can compromise, has a can-do attitude
  
  
  
  

For the particular role we also expect

• Demonstrated ability to implement and manage data solutions that align with the principles of Modern Data architecture, specifically within the framework of a Data Lakehouse model.
• Strong data modelling capability, conceptual modelling, dimensional modelling, knowledge graphs
• Fluent (both written and spoken) in English
  
  
  
  

We offer

Scatec is an exciting, innovative and ambitious company operating in a growing industry. We offer a challenging and interesting position where you will be part of a flexible, diverse and truly international working environment consisting of highly competent and committed colleagues with a positive drive to make a difference.

Scatec is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other basis protected by appropriate law. All hiring decisions are made based on merit, competence and business need.

Applications will be processed on a continuous basis

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology

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Overview

Want to join a frontrunner in renewable energy that is actively seeking early entry into new markets globally? Since the establishment in 2007, Scatec has acquired extensive knowledge and experience in developing, building and operating solar, wind and hydro power plants and storage solutions. Driven by our company values and competent global workforce, we aim to deliver competitive and sustainable renewable energy globally; protect our environment and improve quality of life through innovative integration of technology; and create shareholder value. We are present on four continents and are headquartered in Oslo, Norway.

Main purpose of position Currently we are looking for a Data Analytics & AI Lead in Cape Town, South Africa to be part of our global team working together towards our vision – Improving our future. As our Data Analytics & AI Lead you will lead the design and expansion of the Data & Analytics Platform through hands-on work in Azure Databricks, work closely with global teams and Digital & IT to align data needs and integrate solutions, drive adoption of data-driven workflows in partnership with business stakeholders, and develop AI use cases that support strategic decisions.

Main responsibilities

• Lead the development and implementation of data analytics and AI strategies to drive business growth and innovation.
• Oversee the design and execution of data-driven projects, ensuring alignment with organizational goals and objectives.
• Guide the platform's evolution by adopting Modern Data Architecture practices, including Infrastructure as Code (IaC) and Azure DevOps for agile development and operations (DataOps).
• Collaborate with cross-functional teams to integrate data analytics and AI solutions into existing systems and processes, ensuring seamless adoption and scalability.
• Stay abreast of industry trends and advancements in AI and data analytics, incorporating relevant insights into strategic planning and execution.
• Provide guidance and mentorship to team members, fostering a culture of continuous learning and improvement.
• Work closely with the Head of Enterprise Architecture to ensure alignment and integration of the Data & Analytics Platform within the broader enterprise architecture landscape.
• Ensure compliance with data privacy and security regulations, maintaining the integrity and confidentiality of sensitive information

Qualifications and competencies

• 8+ years of relevant experience in data architecture, data management and data modelling
• Extensive experience in data architecture, particularly within a modern data environment utilizing Azure Databricks, dbt, Terraform, and Azure DevOps.
• Significant hands-on experience in data engineering, including but not limited to the development and optimization of data pipelines, data modelling, and data lakehouse.
• Proven track record in leading the development and expansion of large-scale data platforms, preferably within a Modern Data Architecture deployment.
• Strong familiarity with cloud-based data solutions, particularly within the Azure ecosystem.
• Experience leading and managing cross-functional teams, including business analysts, data analysts, and data engineers.
• Interest in data analytics trends and advancements, e.g. AI, Industry 4.0
• Expertise in SQL and Python for advanced data manipulation, modelling, analysis, and processing within a Data Lakehouse context.
• Familiar with modern data transformation tools, such as dbt
• Strong experience with Azure cloud data services, particularly those relevant to Data Lakehouse architecture such as Azure Data Lake Storage, Azure Databricks, and related technologies.

Personal characteristics

It is part of every employee’s terms of reference to contribute to Scatec's vision: Improving our Future and adhere to our company values which are:

• Predictable : demonstrate clear communication and listening skills, shares information in an open and honest way
• Driving results: demonstrate determination, pro-activeness, can prioritise and work independently
• Changemaker: demonstrate entrepreneurship, can challenge, fast learner, take initiates and adjust
• Working together: demonstrate teamwork, shares responsibilities, can compromise, has a can-do attitude

For the particular role we also expect

• Demonstrated ability to implement and manage data solutions that align with the principles of Modern Data architecture, specifically within the framework of a Data Lakehouse model.
• Strong data modelling capability, conceptual modelling, dimensional modelling, knowledge graphs
• Fluent (both written and spoken) in English

We offer

Scatec is an exciting, innovative and ambitious company operating in a growing industry. We offer a challenging and interesting position where you will be part of a flexible, diverse and truly international working environment consisting of highly competent and committed colleagues with a positive drive to make a difference.

Scatec is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other basis protected by appropriate law. All hiring decisions are made based on merit, competence and business need.

Applications will be processed on a continuous basis

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