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Senior Data Engineer at Pacific Life Re, a life reinsurance company, leading the build of an enterprise data platform: designing and delivering data pipelines and transformations, developing a data warehouse, improving data quality and governance, and mentoring teammates to support reporting across geographies.
Principal Data Engineer at KPMG UK setting the technical direction for data engineering: building enterprise-scale Databricks pipelines on Azure (PySpark, Delta Lake, Unity Catalog, ADF), enforcing engineering standards with CI/CD and AI-assisted tools, and leading and mentoring a team of data engineers.
Data Platform Engineer at Lendable, a UK fintech unicorn, building and operating the central data platform that enables fast, reliable analytics across the business. Day to day this means working with Snowflake, dbt, AWS, Kubernetes and Kafka alongside product, analytics and engineering teams.
Contract Data Engineer (Inside IR35, 3 months with likely extensions) joining an enterprise data and AI transformation programme, building scalable ETL/ELT pipelines and GCP data platforms that underpin AI/LLM and RAG solutions. Core stack: GCP, Python, SQL, and Kafka, with hybrid working (2 days/week on-site in Manchester or Leeds).
Senior Data Engineer at Great Ormond Street Hospital Children's Charity in London (£62,000, hybrid with min. 2 office days/week) leading development of the charity's cloud data platform: building and optimising data pipelines, SQL models and a Snowflake data warehouse, integrating CRM/fundraising/finance systems, and mentoring a Data Engineer.
Mid-to-lead data engineer building scalable data pipelines, models, ontologies and applications in Palantir Foundry (plus some Gotham) for a secure-sector consultancy serving defence/government clients. Hybrid, ~3 days on site in London; requires active SC/DV clearance, strong ETL/data modelling skills, and Python and/or TypeScript.
A short-term (14 Sep–10 Oct 2026), full-time UK project via Mercor for an AI lab: data engineers produce professional documents and deliverables that become tasks and rubrics to train and evaluate frontier AI models. Core stack: SQL and Python with ETL/ELT, orchestration, streaming, and warehousing tools like Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, or Databricks on AWS/GCP/Azure.
This data engineer designs and maintains ELT/ETL pipelines and a well-structured data warehouse that feeds Power BI/Tableau reporting, integrating multiple data sources to support evidence-based decisions across procurement, finance and risk. The core stack is SQL, Python and data modelling, with a focus on data quality and governance.
Designs and maintains large-scale, mission-critical data pipelines and cloud data platforms for a leading airline, supporting predictive maintenance, disruption management, and operational efficiency. Core stack is Scala (functional programming), Spark, Kafka, and cloud platforms like Airflow/Kubernetes.
Enterprise Data Engineer at Koninklijke Auping (royal Dutch bed and mattress maker) designs, builds and manages the company data platform centered on SAP Datasphere and SAP Analytics Cloud. Day to day: integrating data from many sources, improving data quality, governance and performance, and delivering reliable reporting and analytics for Finance, Sales, Marketing, Operations and Supply Chain.
Senior Data Engineer on a temporary assignment building and running the data and software platform behind airport passenger-flow management (GreenWave products). Day to day: Python backend services and REST APIs, data pipelines, deployments on Azure with Kubernetes/OpenShift, plus monitoring, incident response and CI/CD.
Enterprise Data Engineer at Royal Auping who designs, builds and maintains the company's enterprise data platform on SAP Datasphere and SAP Analytics Cloud, integrating data for Finance, Sales, Marketing, Operations and Supply Chain while improving data quality, governance and scalability.
Senior Data Engineer at Kadaster (the Dutch land registry, via staffing firm Linkedtalent) who builds and refines a new data infrastructure: developing Python ETL pipelines, APIs, and data products, refactoring code, and testing data flows. Core stack: PostgreSQL/Oracle, Kubernetes/Docker/Helm, Prefect/Airflow, FastAPI.
Data Engineer at consultancy Macaw who builds and maintains client data platforms: extracting source systems, building reliable pipelines, and modeling data into star schemas using Microsoft Fabric, Azure Databricks, Azure Data Factory, SQL, Python/PySpark and Azure DevOps CI/CD, serving clients mainly in the Netherlands and Germany.
Data Engineer on AD01's Data Insights & Analytics team, building and running the regional Azure Data Platform: aligning on requirements and architecture, delivering ETL/ELT and DWH/data lake data products, and helping with incident support. Core stack: Azure, Databricks, Synapse, Delta Lake, Power BI.
Data Engineer for Afvalservice Breda (the municipality of Breda's waste service) builds the technical foundation of the city's data provision, making data reliable, reproducible, and scalable for analysis. It is an internship-type role requiring Dutch; no minimum education is required.
Junior data engineer (0–3 yrs) at Dutch engineering firm Iv-Groep, turning monitoring data from infrastructure projects (vibration, noise, deformation measurements) into analyses, reports and dashboards using Python, Power BI and various data sources. On-site in Sliedrecht; fluent Dutch required.
Build modern data platforms in Azure for Alistar's clients: design and optimize data pipelines, translate business logic into scalable data models, integrate sources via APIs, and deploy reliably to production while collaborating with analysts, data scientists, and business teams. Core stack includes Azure, SQL, ETL, and Python/Scala/Java/C#.
Data Engineer building Python backend services, REST APIs, and data pipelines for passenger timeslot and demand-capacity balancing products at a Schiphol-based client. Work centers on Azure, Azure Database for PostgreSQL, and Kubernetes/OpenShift, in hybrid setup with a fixed Tuesday office day.
A data engineer at DHL Supply Chain's Campus Weert site builds and maintains Power BI dashboards, automates reporting with Power Automate, and connects/optimizes data sources using SQL, Python, VBA/R to support logistics decision-making. The role owns reporting improvements end to end, from analysis through implementation.
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