15 of 15 Data Pipeline Jobs in Aberdeen

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 cloud-based warehousing and lakehouse solutions. 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 More ❯

Lead Data Scientist (Equity Only) - 1% Job Description As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data, develop data-driven solutions, and provide actionable insights. You will work with cross-functional teams, including data engineers, product managers, and stakeholders, to shape our data strategy and support business growth. Responsibilities Collaborate with teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and segmentation … analyses. Create dashboards and KPIs with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data More ❯

Social network you want to login/join with: Head of Data Engineering & Governance, aberdeen col-narrow-left Client: Data Science Talent Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Head of Data Engineering & Governance Investment & Wealth Management … client began to focus solely on wealth management. But now? This company – a trusted name in the UK financial services sector – fully recognise this. They understand that embracing data and AI is what will continue to position them at the forefront of the UK’s investment management sector. This isn’t a dalliance with data. It’s a … debate about the direction, fighting for investment or dragging people with you. Now, following a recent acquisition, they’re ready to embark on the next phase – transforming the data and harnessing its power. And that’s where you come in. Where you fit in As one of three new leaders in the newly established Group Data More ❯

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 … 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 ❯

recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world … Vault), and telemetry via Application Insights or Log Analytics. KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and deploying Data and AI models onto Azure environments. At least one year using Azure Fabric Create scalable and reliable data pipelines for data processing, transformation, and storage. … Establish and enforce data governance policies and be ‘hands-on’ in exploratory data analysis to identify and measure quality gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and More ❯

experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer More ❯

Social network you want to login/join with: North Scout are working in partnership with a major corporate client, we're looking to appoint a Data Operations Engineer to play a hands-on role within their established Data function. This is a great opportunity for someone with a solid foundation in Data Operations … keen to build on their experience in a collaborative, delivery-focused setting. The role As part of a Consultancy team, you’ll be embedded within the client’s data function, helping to ensure the smooth running of daily data operations. You’ll work closely with … both technical colleagues and stakeholders across the business to support reliable, well-documented data processes. This will include; Monitoring and supporting daily data loads and pipeline activity. Writing and refining SQL queries to transform, validate and extract data. Investigating and resolving data quality issues and anomalies. Responding to internal data queries More ❯

foster a culture of innovation, collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: The Data & AI Solutions Deployment Architect will be instrumental in architecting and deploying Azure Data & AI Solutions. A solid, technical, ‘hands-on’ (not just the theory) grasp of Azure … Fabric is essential as we navigate clients through all of the infrastructure, coding, and product development lifecycle challenges around successful Data and AI implementation and deployment. This customer-centric position involves delivering projects, conducting workshops and physically working on client’s environments via Python, and C#. This role would suit an experienced Data platform engineer or … Data Solutions Architect who thrives in working across multiple projects with a diverse range of clients, and who places the importance of bridging the gap between complex data problems and real life product requirements to non-technical stakeholders. KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and More ❯

Social network you want to login/join with: Senior Backend Engineer (Platform Experience & Data Warehousing teams) ??? Location: UK, Ireland, Poland, Lithuania, Spain, Portugal, Finland ? numi are proud to have partnered with a front runner in data integration technology providing fantastic experience for their clients (who are some of the biggest names in the space)! We … are looking for experienced Senior Backend Engineers (PHP) to join either our Platform Experience or Data Warehousing teams. The Platform Experience team focuses on optimizing end-to-end platform journeys and building impactful customer experiences. They are currently developing a data visualization tool (dashboards) and build features primarily from scratch. The Data Warehousing team … is responsible for data storage and transfer solutions, helping users streamline data transfers to data warehouses/datalakes and improving internal storage. This involves scaling, refactoring, and enhancing a complex data transfer system handling large data volumes. As a Senior Backend Engineer, you will play a key role in the 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 … 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 Kafka … 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 ❯

looking for a Legal AI Engineer who’s passionate about building intelligent systems at the intersection of law and machine learning. You’ll work closely with legal experts, data scientists, and product managers to develop AI features that tackle real legal challenges through the use of agentic GenAI. As Legal AI Engineer you will: Design and implement AI … data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience More ❯

permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Actian is transforming how enterprises discover, understand, and govern their data assets through our innovative data catalog and intelligence platform. Our customers rely on us to provide a seamless and scalable experience, and we’re looking for a … strategic thinking, and strong project management skills to ensure customers see long-term success with Actian solutions. Responsibilities: Technical Implementation & Onboarding Lead technical onboarding process for new Zeenea Data Intelligence Platform customers Develop and execute customer implementation plans ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments … reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years in technical implementation, consulting, professional services, or customer success in a SaaS, data management, or cloud-based environment Excellent ability to translate customer needs into actionable technical requirements Experience managing multiple concurrent implementation projects with enterprise customers Knowledge of APIs & software development More ❯

SOAP APIs for functionality, security, and reliability. Focus on mobile app quality across Android/iOS devices. Manual and automated testing with tools like Appium , XCUITest , TestFairy . Data/ETL Testing Ensure accurate data flow, transformation, and validation in data pipelines. Work with SQL, Informatica , Talend , SSIS , Snowflake . Test models for accuracy More ❯

Kraken Robotics is currently recruiting a Hydrographic Data Processor join our Mount Pearl, Newfoundland or Aberdeen, Scotland Office. Full-Time – Permanent | Job Reference: KRSI-2025-023 We are seeking aHydrographic Data Processor for the processing of field data and the production of charts and/or maps from data acquired using Kraken … of navigation, hydrographic, bathymetry and all other survey data sets acquired. This includes the following data sets: SAS data, Multibeam data, Pipeline & Cable inspection/installation data sets, Positioning data sets, SeaVision data sets, etc. QC/QA computations using raw and processed data QC/QA survey data received from field for completeness and quality Ensure the integrity of project data sets including the incorporation of data sets from third party’s such as-built data sets Ensure processing logs are up to date and record offsets used during processing. Review of survey More ❯

Legal Intelligence Platform Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Legal Data Analyst & Researcher (Part-Time, Remote) Location: Initially Remote moving to in-house Job Type: Part-Time (with potential to transition into Full-Time post-launch) Start Date: Mid-late … Sponsor The Sponsor is a legal intelligence platform designed to provide law firms, professionals, and business leaders with a comprehensive view of the legal industry. Through curated deal data, AI-generated firm rankings, and editorially enriched insights, we help users stay ahead of the legal market. Currently in pre-launch, The Sponsor is backed by industry relevant investors … and is in the early stages of product deployment. Our mission is to modernise legal intelligence with data transparency, intuitive design, and actionable insights. As we prepare to go to market, we’re looking for a part-time Legal Data Analyst & Researcher to support the accuracy and growth of our database, contribute to our proprietary rankings More ❯