41 Data Delivery jobs in South Africa
Data Delivery Specialist
Posted today
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Job Description
We're Hiring: Data Delivery Specialist
Location:
Onsite – Paulshof, Sandton
Duration:
3–6 months (Contract, with possible extension)
We are seeking a skilled
Data Delivery Specialist
to join our team. In this role, you will be responsible for preparing, validating, and packaging high-quality digital twin models in alignment with client specifications. Working within a detail-oriented environment, you will ensure data accuracy, perform quality assurance checks, and support continuous improvement initiatives for internal tools and workflows.
Key Responsibilities:
- Utilize company portals and Reality CAD software to:
- Package digital twins for delivery
- Scale and annotate models based on customer requirements
- Package towers, apply accurate measurements, and add enclosures around inventory
- Validate model scaling using known dimensions to ensure accuracy.
- Verify and document discrepancies between customer specifications and digital twin data.
- Perform quality assurance (QA) and peer review of packaged digital twins.
- Provide feedback to enhance internal tools, workflows, and data delivery processes.
- Support
User Acceptance Testing (UAT)
for new feature releases. - Review and interpret technical drawings of towers prior to packaging.
- Conduct photo analysis when required.
- Utilize
Bentley's Context Capture
(training provided) for digital twin processing.
Required Experience & Skills:
- Proficient in CAD software, preferably
Blender
or
Google SketchUp
. - High attention to detail and ability to maintain accuracy under tight deadlines.
- Capable of working independently with minimal supervision.
- Reliable computer and strong internet connection required.
- Basic IT knowledge and familiarity with 3D concepts.
- Experience in 3D modeling or gaming design is an advantage.
Education & Experience:
- High school equivalent or higher qualification.
- Minimum 1 year of experience using CAD-based systems preferred.
- Prior exposure to data validation, 3D modeling, or digital design environments is beneficial.
Desirable Attributes:
- Detail-Oriented:
Exceptional attention to precision and accuracy. - Analytical Thinking:
Ability to identify discrepancies and ensure data integrity. - Communication:
Clear and professional written and verbal communication skills. - Team Collaboration:
Comfortable participating in peer reviews and providing constructive feedback. - Adaptability:
Open to learning new tools and processes (training provided).
Network Data Solutions Delivery Engineer
Posted today
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Job Description
P.I. Works is the first company in the world to automate the management of a commercial 5G network.
Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 84 mobile operators in 58 countries around the world.
Our success is built by our people that strive for excellence and deliver great value to our customers.
At the core of our success are a culture built on integrity, trust, and respect. We are looking for Network Data Solutions Delivery Engineer to lead mobile network product delivery projects, with a focus on next-generation optimization techniques with Network Automation Solutions, and keeps full engagement with our customer as a single point of contact.
Job Description:
- Work closely with customer mobile network teams for network performance monitoring and reporting activities
- Provide onsite support for customer and feedback to product, integration and support teams
- Create custom dashboards and automated reports on key business metrics for various use cases
- Participate in technical meetings, monitor products performance, track customer demands
- Prepare and issue technical guidelines and results of technical studies
- Prepare and issue engineering level and executive-level reports
Required Qualifications:
- Diploma from Engineering Departments relevant to Mobile Telecommunications or Computer Science
- Basic Knowledge on Telecom domain KPIs and Parameters (Radio, Core, Transmission)
- Good level of SQL and ETL platform knowledge, able to write complex SQL queries
- Experience with tools in performance management (Optima/Helix, PrOptima, PRS, Eniq, etc.) is a plus
- Very good command of English
- Must have an excellent customer relationship with both verbal and written communication skills
- Experience with OEM vendor EMS/OSS systems and Managed Objects, parameters and measurements is a plus
- Reporting / BI Tools experience (PowerBI, Tableau, Qlikview, etc.) is a plus
Coordinator - Spatial Data Services
Posted today
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Job Description
ELIGIBILITY
Suitable Candidates
CLOSING DATE
REFERENCE NUMBER
NRG 109/25*
SALARY
R TCOE (T16)
DEPARTMENT
Electricity Generation and
Distribution
DIRECTORATE
ENERGY Coordinator - Spatial Data Services
Requirements
- Minimum Bachelor of Science (BSc) / BTech degree or equivalent in
Geographic Information Systems / Land Surveying / Geomatics /
Cartography or B Eng / BSc Eng (Electrical)
- Registered as Professional or Technologist in GISc with SAGC or
with ECSA
- A minimum of 8 years post graduate GIS experience and exposure
to its application in the electrical utility environment, with at least 5
years managerial experience.
- Extensive experience in the recording and capture of electricity
distribution systems
- Excellent personnel management skills
- Excellent communication and negotiation skills
- Computer literacy
- Problem solving skills
Key Performance Areas
- Develops long and short-term strategies to include performance
goals and staffing, with respect to departmental and business unit
requirements
- Manages the processes that ensure the accurate, consistent, and
current geospatial data collection, capture and maintenance
- Coordinates the production of designs for new electrical
transmission, distribution and public lighting projects.
- Develops and manages job proposal design standards and
methodologies.
- Manages the efficient rate of Job Proposal production
- Manages and coordinates all activities related to the acquisition,
processing and administration of wayleaves and land
matters within the unit
- Managing and overall integration of technical design activities in
architectural engineering projects
- Applies theory and principals of mechanical and electrical
engineering to modify and develop equipment design drawings,
process control, and electrical power distribution and
instrumentation diagrams under direction of engineering staff
- Communicates with senior management, fellow professionals as
well as internal and external customers to address issues of
common interest and share information
Data Solutions Architect
Posted today
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Job Description
Contract
Experience8 to 30 years
SalaryNegotiable
Job Published08 October 2025
Job Reference No.Job Description
We're seeking a Data Solutions Architect / Senior Data Engineer to join a growing Data and AI team working on an innovative cloud-based data warehousing and AI solution. The team is developing a client-facing platform that integrates data warehousing with a RAG (Retrieval-Augmented Generation) system — transforming unstructured and structured data into organized, summarized, and insightful information for business use.
You'll play a leading role in building out the production-ready environment, ensuring compliance, scalability, and performance, while contributing to the development of advanced AI-driven insights and automation capabilities.
High-Level Project Overview
The platform focuses on the aggregation, synthesis, and summarization of unstructured data through a secure, scalable Azure-based architecture.
A proof of concept has already been built (a chatbot web app hosted on Azure), and the next phase involves expanding this into a fully integrated production solution.
Your work will involve:
- Designing and developing scalable data pipelines, storage, and processing components in Azure.
- Supporting the integration of RAG systems with AI models and vector databases.
- Enabling robust data flow between AI, search, and warehousing layers.
- Contributing to architectural decisions on performance, governance, and scalability.
Tech Stack
- Framework / Orchestration: Azure AI Foundry (for AI workflow orchestration and management)
- LLM Provider: Azure OpenAI Service (designed to be model-agnostic for future extensibility)
- Storage: Azure Blob Storage Gen 2 (for documents and source data)
- Vector Store / Search: Azure AI Search (vector + hybrid search capabilities)
- App Hosting: Azure App Service (chatbot web app interface integrated with RAG)
- Embedding Model: Azure OpenAI text-embedding-3-large
- Data Warehousing: Azure Data Factory for data extraction, transformation, and integration between AI Foundry, AI Search, and Blob Storage
Key Responsibilities
- Architect and implement end-to-end data pipelines and data warehousing solutions in Azure.
- Design and optimize ETL/ELT workflows using Azure Data Factory or equivalent.
- Collaborate with AI developers and cloud engineers to connect data pipelines to AI/RAG systems.
- Implement data models to support text retrieval, embedding, and summarization processes.
- Ensure compliance with data governance and security best practices.
- Mentor and support junior team members as the data capability scales.
Required Skills & Experience
- 7+ years' experience as a Data Engineer or Data Architect in enterprise environments.
- Strong proficiency in Azure Cloud (Data Factory, Blob Storage, Synapse, AI Foundry, OpenAI).
- Advanced SQL and Python development experience.
- Proven experience with cloud data migration and modern data warehousing.
- Knowledge of vector databases, AI model integration, or RAG frameworks highly advantageous.
- Understanding of data orchestration, governance, and security principles.
- Experience in insurance or financial services preferred.
Why Join
This is a greenfield opportunity to help build a Data & AI capability from the ground up. The team currently consists of four engineers and is expected to grow rapidly in 2026. You'll be working on cutting-edge Azure and AI technologies, shaping an intelligent platform that makes sense of large, messy datasets and transforms them into business-ready insights.
In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent
If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.
Data EngineeringData ArchitectureEnterprise ArchitectureMicrosoft AzureSQLPythonData Warehousing
IndustriesInsuranceFinancial Services
Data Capturer: Client Services
Posted today
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Job Description
Who are we?
At MiWay, our purpose is to enable people to live their way. We understand that life is not just about "things" but the meaning that those things bring to your life. We believe that technology and innovation have infinite possibilities when it's inspired by humans by you.
Therefore, we focus on our clients' needs; finding new ways to simplify their lives and how they do things.
We give them products, services, and solutions that enable them to live and enjoy life on their own terms – in their own way.
Agile values and principles are strongly embedded in our culture, and they are at the core of how we make decisions and how we approach adding value within the company.
Build a successful career with us
We're all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.
What will you do?
The Personal lines Data Capturer: Client Services will be responsible for inbound/outbound telephonic communication with client base.
Ensures the quality of service exceeds customer expectations and establishes constructive relationships with client base. Utilises IT system accurately and ensures that all queries are answered effectively. Refers calls to appropriate departments only if unable to solve query appropriately. Provides accurate product information to clients in line with standards and protocols.
Minimum Requirements
Minimum Qualification
- Grade 12/Standard 10/NQF 4
Minimum Experience
- Minimum 12 months Call Centre and administrative experience
- Computer literacy
Deliverables include, but will not be limited to
- Quality orientated and organized
- Self-disciplined and Self-motivated
- Analytical and desire to excel
- Active listening skills
- Problem-solving skills and solution-oriented
- Excellent administrative skills
- Good communication skills (verbal & and written)
- Able to work flexible hours Customer focused
- Results and Target driven
- Teamwork and Professionalism
- Flexibility
- Ability to multi-task and cope with pressure
- Excellent attendance record
Knowledge and Skills
Customer Service
Team Support
Administration
Quality, compliance and accreditation
Personal Attributes
Communicates effectively - Contributing dependently
Decision quality - Contributing dependently
Action orientated - Contributing dependently
Optimises work processes - Contributing dependently
Core Competencies
Cultivates innovation - Contributing dependently
Customer focus - Contributing dependently
Collaborates - Contributing dependently
Being resilient - Contributing dependently
Drives results - Contributing dependently
Turnaround time
The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.
Our commitment to transformation
At MiWay we believe in cultivating a positive and dynamic working environment that gives you freedom and opportunity to succeed. MiWay is committed to transformation and embracing diversity. This is what drives us to achieve a multicultural workplace with employment equity as a key goal to create an inclusive workforce, reflective of the demographics of our society.
Integration & Data Solutions Specialist
Posted today
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Job Description
Reporting to the Senior IT Manager, the Integration & Data Solutions Specialist will design, implement, and maintain system integrations and data flows across the business. This role combines hands-on technical expertise with data-driven problem solving - building secure, automated connections between platforms (e.g. Flowgear, API's, internal systems) while also supporting data analysis and reporting through Power BI.
Systems Integration
- Develop, maintain, and optise integrations using Flowgear and other middleware platforms.
- Write and maintain scripts (PowerShell, Python, or similar) to automate processes and improve efficiency.
- Build and support secure API's and data pipelines between internal and client systems.
- Troubleshoot integration issues and liaise with vendors when required.
Data & Analytics
- Support data transformation and reporting initiatives across departments.
- Develop dashboards and reports in Power BI for internal teams and clients.
- Assist with data modelling and ensuring data quality within reporting solutions.
- Collaborate with finance and operations teams to deliver actionable insights.
Innovation & Continuous Improvements
- Research and evaluate new technologies for integration and analytics.
- Drive automation and process optimisation across IT operations.
- Contribute to the IT strategy by recommending best practices for data flow and reporting.
Requirements
Education
- Bachelor's Degree in IT, Computer Science, or related field.
Experience
- 3-5 years Experience in system integration, scripting, or related roles.
- Proficiency in Scripting languages (PowerShell, Python, SQL)
- Experience with Power BI of other BI tools.
- Knowledge of API's, JSON, and data structures.
- Strong analytical mindset with problem-solving ability.
- Good communication skills to work across business units.
Work Environment
- Hybrid of integration engineering and data analytics.
- Hands-on technical role with opportunities to contribute to business intelligence initiatives.
- Collaboration with IT, Finance, and Operations teams.
Join TreasuryONE for a rewarding career path
Data Science Manager: Telemetry Solutions
Posted today
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Job Description
Who are we?
We made Miway to change the way insurance works, to make it work your way, protecting what matters to you and making life a whole lot easier.
Why Miway?We know what it's like to be in an early morning accident on the way to work, to watch helplessly as water floods your business premises, or have your most precious possessions stolen, to lose a truckload of costly stock, or be stranded a long way from home.
So, we created products that put you first, that help you get back on your feet, that make a difference when you're down and dealing with a loss. That's insurance the way it should be. Insurance your way.
That's Miway.You may want to be part of that. Insurance the way it should be. Built around you.It's about you - not about us.
Why Join Us?
This is a rare opportunity to lead at the frontier of actuarial innovation - where data science, machine learning, and software engineering create real-world impact. As Data Science Manager: Telemetry Solutions, you'll help shape the future of insurance.
- Lead actuarial and data science initiatives across telematics, claims, and operational intelligence.
- Work with rich, real-time datasets from connected vehicles and IoT platforms to unlock insights and build predictive systems.
- Collaborate with cross-functional teams - including product, development, and claims - to integrate analytics into key decision-making processes.
- Apply and grow your technical skills across AI, machine learning, and production-grade systems in a dynamic environment.
- Join a forward-looking team that values innovation, ownership, and continuous learning.
If you're technically strong, strategically curious, and passionate about using data science to tackle bold, modern challenges - this is your opportunity to lead the change.
What will you do?
The Data Science Manager: Telemetry Solutions is a future-focused leadership role that bridges actuarial science, data science, machine learning, and engineering. You will lead a multidisciplinary team that leverages telematics and alternative data to deliver intelligent solutions across usage-based insurance (UBI), claims innovation, product development, and dynamic risk assessment.
This role offers a unique opportunity to operate at the intersection of data, strategy, and technology - driving meaningful transformation in how insurance products are developed, risks are understood, and operations are optimised.
Key Responsibilities
- Architect and deploy scalable, real-time systems for ingesting, processing, and analysing high-frequency vehicle sensor and telemetry data.
- Develop and maintain robust APIs and automation tools in Python and C# to support internal platforms and customer-facing applications.
- Oversee the creation and deployment of AI models - including computer vision and large language models (LLMs) - to enhance claims automation and document intelligence.
- Champion innovation within the actuarial domain by blending traditional methodologies with modern MLOps, software engineering, and streaming analytics.
- Manage end-to-end machine learning pipelines using tools like MLflow, ensuring reproducibility, governance, and performance monitoring.
- Collaborate closely with Product, IT, Data Engineering, and Claims teams to embed intelligent analytics into core business processes and customer experiences.
- Mentor and grow a high-performing team of data scientists, and software engineers.
- Provide technical insight and data-driven narratives to support strategic decision-making through dashboards, models, and actuarial reporting.
Qualifications
- Degree in Actuarial Science, Data Science, Statistics, Computer Science, or a related field (Honours or Master's preferred).
Experience
- Minimum of 5 years' experience in data science, or data engineering roles, preferably in a telematics-driven insurance environment.
- Proficient in Python and C#, with a solid foundation in object-oriented programming and API development.
- Advanced SQL skills, including data processing, database management, and query optimisation (Essential).
- Practical experience using Git for version control and collaboration(Essential).
- Hands-on experience with machine learning libraries and frameworks such as XGBoost, spaCy, Hugging Face, TensorFlow, or PyTorch.
- Proven ability to deploy and monitor models using MLflow and related MLOps tools.
- Experience with large-scale datasets, ideally from IoT or telematics sources.
- Working knowledge of Docker for containerisation (Intermediate to Advanced – Advantageous).
- Exposure to messaging systems such as RabbitMQ (Advantageous).
- Strong understanding of software engineering principles, including object-oriented design and clean code practices.
- Solid business acumen with the ability to translate technical work into strategic outcomes.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Demonstrated leadership experience and a passion for mentoring cross- functional teams.
- Strong analytical and problem-solving skills, with the ability to extract insights from high-volume, high-dimensional data
Knowledge And Skills
Actuarial Problem Solving
Issues management
Business knowledge
Business analysis
Personal Attributes
Self-development - Contributing independently
Interpersonal savvy - Contributing independently
Nimble learning - Contributing independently
Tech savvy - Contributing independently
Core Competencies
Cultivates innovation - Contributing independently
Customer focus - Contributing independently
Drives results - Contributing independently
Collaborates - Contributing independently
Being resilient - Contributing independently
Build a successful career with us
We're all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.
Turnaround time
The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.
Deadline to apply: 19 September 2025.
Our commitment to transformation
At MiWay we believe in cultivating a positive and dynamic working environment that gives you freedom and opportunity to succeed. MiWay is committed to transformation and embracing diversity. This is what drives us to achieve a multicultural workplace with employment equity as a key goal to create an inclusive workforce, reflective of the demographics of our society.
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Data Management
Posted today
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Job Description
About the Role
We are seeking a highly skilled and motivated Data Management & Business Intelligence (BI) Specialist to join our team on a full-time basis.
The successful candidate will be responsible for designing, implementing, and maintaining enterprise-grade data management frameworks and BI solutions, following globally recognized standards such as the DAMA Data Management Body of Knowledge (DMBOK).
This role requires both strategic insight and technical execution to ensure data quality, governance, and accessibility across the organization.
Key Responsibilities
- Develop, maintain, and optimize data models, ensuring alignment with business processes and analytics needs.
- Oversee data governance frameworks, ensuring compliance with policies, standards, and regulatory requirements.
- Design and manage data warehouses for reporting, analytics, and operational intelligence.
- Implement and monitor data management practices covering data lifecycle, quality, architecture, and metadata.
- Collaborate with cross-functional teams (IT, analytics, business units) to drive data-driven decision-making.
- Maintain documentation, data dictionaries, and data lineage mapping.
- Evaluate and implement BI tools and technologies for enhanced business reporting and visualization.
Qualifications & Certifications (Mandatory)
Candidates must hold recognized certifications aligned with the Data Management and BI professional body of knowledge, including:
Data Modeling Certificate
Data Management Professional Certificate
Data Warehouse Certificate
Data Governance Certificate
Additional advantageous certifications:
- DAMA Certified Data Management Professional (CDMP)
- Microsoft Power BI, Tableau, or similar BI platform certifications
- ISO 8000 / ISO 38505 awareness
Experience & Skills
- Minimum 3–5 years of experience in data management, BI, or related domains.
- Proven experience in data modeling (conceptual, logical, physical).
- Strong knowledge of ETL processes, data warehousing, and reporting systems.
- Hands-on experience with SQL, Python, or data visualization tools.
- Understanding of data governance frameworks and metadata management.
- Excellent analytical, problem-solving, and communication skills.
Why Join Us
- Long-term career opportunity with a 5-year full-time position.
- Work with advanced enterprise data management tools and frameworks.
- Join a forward-thinking organization committed to data excellence and innovation.
- Opportunities for continuous professional development and certification advancement.
Application Process
Interested candidates should submit:
- A detailed CV
- Copies of relevant certifications
Job Types: Full-time, Permanent
Pay: From R40 000,00 per month
Work Location: In person
Data Management Lead
Posted today
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Job Description
Our client is seeking an experienced Data Management Capability Lead to be based at their Centurion office. The role is responsible for leading the organisation's data capability centre, with a focus on SAP data migration, governance and ECC to S/4HANA transitions. The successful candidate will oversee end-to-end data programmes, build internal capability and ensure delivery across complex SAP landscapes.
Key Focus Areas:
- Strategic Leadership – Design and implement SAP data migration frameworks, manage ECC to S/4HANA transitions and set governance standards.
- Migration & Innovation – Deliver structured SAP data migrations using advanced tools (Data Services, LTMC, LSMW, ABAP, SQL) and implement SAP MDG.
- Capability Building – Develop and mentor consultants, data stewards and graduates into client-facing roles.
- Client Engagement – Facilitate readiness workshops, ensure compliance with POPIA and ISO27001 and advise stakeholders at the executive level.
- Delivery Management – Govern data project milestones, from mock loads to cutovers and reconciliations, ensuring business continuity and quality.
Minimum Requirements:
- Bachelor's degree in Information Systems, Computer Science, Data Science, or related field.
- SAP Activate Project Manager Certification.
- SAP MDG Certification and DAMA-DMBOK2 knowledge/certification.
- PMP or Agile/Scrum certification.
- 15+ years in SAP programmes, with at least 5 years leading large-scale data migration and governance portfolios.
- Proven experience across ECC, S/4HANA, IS-U, Real Estate, Retail, and Public Sector.
This is a senior leadership opportunity for a highly experienced professional with a strong track record in SAP data transformation. If you meet the requirements and are interested in this role, please apply.
Please note: Only shortlisted candidates will be contacted.
Environmental Data Management
Posted today
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Job Description
Company Description
Work with Us. Change the World.
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us.
Job Description
AECOM
is seeking a mid-level Environmental Data Manager to support our enterprise environmental data management system (EarthSoft EQuIS). The ideal candidate will have a strong understanding of environmental data and terminology, good communication skills, and the ability to collaborate with both technical and non-technical stakeholders. As a team Lead, you will be responsible for guiding a high-performing team toward achieving operational and strategic goals. You'll serve as a mentor, problem-solver, and project driver—ensuring that team efforts align with broader organizational objectives. This role demands a balance of technical expertise, emotional intelligence, and leadership acumen.
This position offers the flexibility of a hybrid work schedule including both in-office and remote work options and will be located in Pretoria, South Africa (Centurion office).
Management Responsibilities:
- Collaborate with cross-functional teams to ensure alignment with business goals.
- Lead, coach, and motivate a team of professionals to meet performance targets by fostering a culture of accountability, collaboration, and continuous improvement
- Conduct regular one-on-ones, performance reviews, and career development planning
- Set strategic direction and provide clear guidance to align team efforts with organizational goals.
- Cultivate a high-performance culture that values collaboration, inclusivity, and continuous improvement.
- Lead regular check-ins and performance reviews to support growth and accountability.
- Oversee financial planning, including budgeting, forecasting, and resource allocation.
- Drive talent development by identifying skill gaps and enabling upskills and career progression.
- Manage end-to-end project execution, ensuring timely delivery and quality outcomes.
- Contribute to business strategy, offering insights for growth and innovation.
- Mentor and coach team members for career growth
- Build and maintain strong relationships with internal and external stakeholders
- Support resource planning and allocation to ensure optimal team utilization.
Technical Responsibilities:
- The ideal candidate will be able to understand requests from environmental subject matter experts.
- Gather, organize, and validate field data from environmental monitoring activities such as air, soil, and water quality assessments.
- Manage field and analytical data in relational database systems like EarthSoft EQuIS, Locus EIM, or other environmental databases.
- Conducting QA/QC for electronic data deliverables with laboratory analytical data to ensure quality.
- Generating standardized report output through software tools like EQuIS or EIM.
- Prepare environmental data summaries and compliance reports for submission to regulatory agencies.
- Utilize statistical tools and predictive modeling techniques to assess environmental impacts and forecast trends.
- Design and create dashboards and visualizations using platforms such as Power BI or EQuIS Enterprise.
- Ensure data meets reporting standards and guidelines set by local, state, and federal authorities.
- Responsible for generating Borelogs through multiple platforms like gINT, open source, or EQuIS.
- Supporting legacy data migrations to EQuIS/EIM as needed, ensuring proper formatting and compatibility.
- Collaborate with stakeholders, project managers, and team members to achieve project objectives efficiently.
- Provide technical support to field sampling teams and act as a liaison between the project staff, analytical laboratory, data validator, and GIS analysts.
- Research state and federal regulations necessary to manage action levels or clean-up criteria.
Qualifications
Minimum Requirements:
- Bachelor's/master's degree in environmental engineering, Environmental Science, or a related discipline plus tem (10) years of relevant experience in environmental data management or consulting, with hands-on experience in EQuIS, LOCUS EIM, ESDAT, or similar databases or demonstrated equivalency of experience and/or education.
- Expertise and experience with environmental data and database systems (MS SQL Server, MS Access). Expertise with relational databases such as EarthSoft's Environmental Quality Information System (EQuIS) /EIM/ ESdat. Ability to continually analyze data at all stages for problems, logic, and consistency concerning field data collection, analytical reporting, and other expertise on EQUIS sub-tools (Collect, Edge, ArcGIS, highly desirable but not essential).
- Assist with projects globally and task delivery with high quality and within deadlines. Managing data (geological, Field data, chemical laboratory data) for technical report writing and interpretation as required by the team. Maintaining and updating various project dashboards using the web-based EQuIS Enterprise system; and preparing report-ready data tables, charts, and figures for internal review and external client reports.
- Project management duties include coordinating field events. Using the sample registry and Sample Planning module, create EDDs and load to EQuIS to track event closure.
- Proficient in EQuIS Collect Module, create and deploy different categories of forms and train field personnel on the same.
- Expert level understanding of Office 365, Excel, Power Query & Power Automate.
- Should be good in Documentation, including Data Management SOPs, Process Maps, Work instructions, Activity Analysis, and Task effort estimation
- Use of visualization tools like Power BI to help management make effective decisions for the environmental domain is desirable but not essential
- Knowledge of digital tools like Power BI, R Studio, KNIME Analytics, SQL, and Python is a plus but not mandatory.
- Strong organizational skills, with experience prioritizing, time management, and managing multiple tasks.
- Effective communication skills to interact with multidisciplinary teams and clients.
- Expertise in applying Six-Sigma techniques/analysis to the environmental data management process.
- Strong attention to detail with excellent analytical, judgment, and problem-solving capabilities.
- Comfortable running meetings and presentations
Additional Information
About AECOM
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients' complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at
What makes AECOM a great place to work
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you'll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you've always envisioned. Here, you'll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.
As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.
ReqID:
J
Business Line:
Geography OH
Business Group:
DCS
Strategic Business Unit:
Enterprise Capabilities
Career Area:
Engineering
Work Location Model:
Hybrid