13 of 13 Data Engineering Jobs in Aberdeen

sufficiency. We do this by providing client-side incubation support with ready-made out-of-the box capability supported by smart, execution-focussed practitioners. The Role Are you a data enthusiast with a passion for transforming raw information into meaningful insights? We’re looking for a talented Fabric/Data Consultant with expertise in Azure and Power BI … to join our dynamic team. This role is perfect for someone who enjoys working with cutting-edge technology, developing robust data architectures, and driving strategic business intelligence initiatives. If you're excited about helping organizations unlock the full potential of their data, we’d love to hear from you. Proven experience in data engineering with exposure … to Azure Synapse or Azure Data Factory or Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. More ❯

We are looking for a hands-on, technically driven Data Engineer to join our expanding data team. This role is ideal for someone with a strong foundation in SQL and data management, who has recently graduated from a Data Science or Data Engineering programme and is eager to apply their skills in a modern … forward-thinking environment. You will be responsible for developing and maintaining robust data solutions that support reporting, automation, and strategic decision-making across the business. The successful candidate will have up-to-date knowledge of data tooling and methodologies, particularly in SQL, Power BI, and data automation, with an interest in modern data architecture such as … As the role sits within a relatively new department, where methodologies and processes are still evolving, there is a significant opportunity to help shape the future of OEG’s data management practices. Key Responsibilities: Database and Data Engineering Design, develop, and maintain SQL-based solutions and data pipelines. Manage relational databases, ensuring data can be More ❯

capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. … Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps … growth of others through coaching, peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and More ❯

Our client is currently recruiting a Senior Data Engineer. Based in Aberdeen, the role is on a permanent (staff) basis and offers a hybrid working arrangement. ROLE Reporting to the Analytics and Integration Lead, the Senior Data Engineer will play a pivotal role in shaping the future of the Company's data analytics capabilities. RESPONSIBILITIES: Provision of … Pipeline engineering support across all Development Projects within the Company's portfolio. RESPONSIBILITIES Supporting Data Platform Program: Collaborate with cross-functional teams to maintain and enhance our modern data platform, leveraging your expertise in Synapse and data engineering techniques. Stay up to date with innovation: Understand best practice of data engineering and its … application, and stay up to date with emerging technologies in the data space Analyse, Model and Organise Data: Work with a range of stakeholders and business users to understand the use and utility of datasets and systems to then analyse, model and organise data from their respective source data systems into the medallion data lake More ❯

Social network you want to login/join with: Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/… Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem of revolutionary AI infrastructure and products. Our platform, OhChat, features digital twins of real-world personalities and original … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be More ❯

We are seeking a Senior Data Engineer for our Oil & Gas Operator client based in Aberdeen. This is a STAFF role working as part of a Data Team where you will be focussed on process and looking for improvements. As a candidates you will be currently working as a Data Engineer and ideally with 5 years or … more experience and have a strong working knowledge of PySpark, Azure Data Bricks, Azure Data Factory and Azure Data Lake Storage. Ideally you will be based in Aberdeen or within a commutable distance of Aberdeen as the role cannot be worked remotely. Experience required: Proven competency working with data warehousing, ETL/ELT, integration tools and … business intelligence solutions that will help to deliver the data and analytics strategy. Skills with Synapse (notebooks and data flows) is essential for Senior Data Engineer. Working knowledge of PySpark is essential for Senior Data Engineer Capability working with Azure Data Lake Storag e is essential for Senior Data Engineer Working knowledge of medallion More ❯

SENIOR DATA ENGINEER Our Client, Aberdeen based Oil and Gas Operator is seeking a Senior Data Engineer to join their Aberdeen team on a Permanent staff basis. Azure Data factory/Data Lake, PySpark are essential skills for this role. RESPONSIBILITIES Supporting Data Platform Program: Collaborate with cross-functional teams to maintain and enhance our … modern data platform, leveraging your expertise in Synapse and data engineering techniques. Analyse, Model and Organise Data: Work with a range of stakeholders and business users to understand the use and utility of datasets and systems to then analyse, model and organise data from their respective source data systems into the medallion data lake for further use in reporting. Ensure data quality and data reliability: Drive improvements in data quality assessments, and ensure that data is processed effectively, efficiently, robustly and timely. Maintaining Data Governance: Ensuring that data governance policies and procedures are followed, and that data lineage and cataloguing is maintained for data More ❯

Social network you want to login/join with: We are seeking an experienced Principal Data Engineer to lead a team in developing and maintaining robust, scalable data pipelines, bridging on-premises and cloud environments, and delivering real-time analytics systems. This role requires deep expertise in data engineering and streaming technologies, combined with strong leadership … skills to drive the team towards achieving business objectives. You will collaborate with cross-functional teams including architecture, product, and software engineering to ensure the delivery of high-quality data solutions aligned with company goals. Requirements: 5+ years of hands-on experience in data engineering, including expertise in Python, Scala, or Java. Deep understanding of Apache … such as PostgreSQL, MySQL, MSSQL. Familiarity with analytical databases. Familiarity with both cloud solutions (AWS preferably) and on-premises environments as part of cost-optimization efforts. Knowledge of additional data tools and frameworks such as Flink, Redis, RabbitMQ, Superset, Cube.js, Minio, and Grafana (optional but beneficial). Strong leadership and mentoring skills, with the ability to guide a team More ❯

Social network you want to login/join with: SAP Cloud Data Solutions Architect, aberdeen col-narrow-left Client: Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 1 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: SAP Cloud Data Solutions Architect with SAP BW - SAP Datasphere migration experience and a strong … background in consulting, sales, and commercial strategy to join our dynamic team. This role is ideal for a cloud solutions sales professional specializing in data analytics offerings who can serve as an overlay sales for our core sales team. The ideal candidate will have experience in building proposals, responding to RFPs, and drafting SOWs, as well as a track … record in closing complex cloud data deals with enterprise clients. In addition to hands-on technical expertise with AWS, Azure, or GCP, proficiency in SAP BW - SAP Datasphere migration strategies and experience with legacy data platform to modern cloud platform migration is essential Key Expertise: Consulting & Commercial Strategy: Ability to provide consulting solutions and commercial proposals to develop More ❯

Social network you want to login/join with: Job Opportunity: AI & Data Engineer at B2B SaaS AI Start-Up We have a new role with a client that is a growing B2B SaaS AI start-up, currently expanding their engineering team after securing several large-scale clients. The company has a strong financial runway for multiple years. … This position offers a mix of responsibilities: approximately 50% LLMOps, 30% Software Engineering, and 20% Data Engineering. You will have the opportunity to architect, build, and own AI workflows, working with the latest LLM APIs, and to lead their analytics stack to deliver data-driven insights for both internal and external stakeholders. Required Skills and Experience 2+ … years of commercial experience Strong knowledge of Python Prior experience with LLMOps Experience building data pipelines Start-up experience is a bonus This role requires candidates to work in the client's Central London office once a week. The salary range is £55,000 to £70,000 plus equity, depending on skills and experience. Applicants must be UK-based. More ❯

with occasional travel as needed) Up to £70,000 + 15% discretionary bonus We are currently supporting a dynamic and growing European business in their search for a Master Data Management (MDM) Lead to join their expanding Data & AI platform team. This is an exciting opportunity to play a key role in shaping and delivering the organisation’s … critical data management initiatives as part of a broader transformation programme. About the Programme The business is making significant investments in data capability, with several streams of work already underway: Data Governance (communities already in place) Implementation of IPAZ and MDM solutions Migration of data intelligence to Snowflake AI initiatives Core Master Data Management (MDM … build-out The Role As the MDM Lead, you will: Provide technical leadership across the MDM programme Drive the use of trusted master data to enhance customer experience, optimise service delivery, and improve operational efficiency. Ensure master data readiness to support advanced analytics, AI/ML initiatives, and automation across business operations. Work with the business to define More ❯

and test them on historical data. When they're ready they can live trade it on their brokerage. Under the hood we curate and update hundreds of terabytes of data - covering financial data (e.g. stock prices, options prices), fundamental (e.g. PE Ratios, company debt), and alternative sources (e.g. news articles, sentiment). We have a powerful data processing stack that handles ingestion and distribution of all this data to our different consumers who need it. Note: We have a slight preference to UK/Europe applicants so you're awake at 4am ET long before the markets open. Responsibilities We're seeking a full-time, mid to senior C# engineer to manage, maintain, and expand … our data stack. Your responsibilities would be: Monitoring existing data infrastructure (historical processing, daily data updates, and live feeds). Debugging and improving data infrastructure when required. Responding to user reports of data issues, patching data. Working with third-party vendors to source data for gaps. Onboarding new data-sources to give our More ❯

key role in the integration capacity of the team. Responsibilities include developing Power Apps, automations with Power Automate, and ensuring these tools are central to our business application and data integration processes. Main Responsibilities Supporting Analytics and Integration Program: Collaborate with cross-functional teams to maintain and enhance application footprint, integration, and automation techniques. Stay Updated with Innovations: Keep … abreast of best practices in data engineering, low-code application development, and automation technologies. Analyze, Model, and Organize Workflows: Work with stakeholders to understand workflows and design applications and automations that deliver high value. Ensure Quality and Reliability: Improve application quality, understand user interactions, and ensure effective downstream workflows with proper data validation and controls. Maintain Data Governance: Follow data policies, maintain data lineage and cataloging. Document Support and Processes: Keep documentation accurate and comprehensive for team support. Lead New Projects: Initiate, design, and manage lifecycle of integration projects from development to production. Performance Monitoring: Optimize workflows and applications for performance, and communicate impacts of performance issues. Experience Required Experience with Power Apps, Power More ❯