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Data/ETL engineer who analyzes existing SSIS processes, designs and maintains ETL/ELT pipelines, and drives the migration of legacy SSIS jobs to Azure Data Factory as part of a data platform modernization project. Core stack: SSIS, Azure Data Factory and SQL, working closely with technical and business teams.
Builds and industrializes data workflows, batch and real-time ingestion, ETL/ELT pipelines, APIs, and orchestration for the analytics products of a leading European retail company in Barcelona. Core stack is Python, SQL, Databricks, and Spark; hybrid role with 2 days per week on-site.
Data Engineer in Barcelona (hybrid, 3 days/week onsite) building and scaling high-throughput batch and streaming data pipelines and ETLs for AI-driven applications. Core stack includes Spark/Hadoop/Kafka, Python/Scala/Java, SQL and NoSQL stores, AWS, Kubernetes, and ML data techniques like embeddings and knowledge graphs.
Builds and maintains real-time market data infrastructure for Coinbase’s institutional trading platform, designing low-latency systems for feed handling, normalization, and distribution across exchanges.
Winter 2027 data engineering intern (12–16 weeks, starting January 2027) at Kodiak Robotics, an autonomous trucking company, onsite in Mountain View, CA. The intern maintains AWS AuroraDB and ElasticSearch data stores, builds ETL/ELT pipelines for robotics and safety datasets, and develops QuickSight dashboards and reporting.
Operations engineer providing day-to-day operational leadership of a Microsoft Fabric data platform at a global organisation: managing capacities, workspaces, security, and releases across Dev/Test/UAT/Production, monitoring performance and SLAs, and automating deployments with Azure DevOps.
Lead data engineering role building and operating a Microsoft Fabric-based data platform at a large London organisation. The person leads and mentors a team of data engineers, owns the platform roadmap, designs pipelines and integrations, and drives data quality, governance, and CI/CD/DevOps practices supporting BI, analytics, and AI/ML.
Senior or mid-level Data Platform Engineers join the AI and Data Platform teams of a global healthcare and insurance organisation. Fully remote (UK) with occasional office travel; day-to-day data platform infrastructure work where expert Terraform knowledge is essential. Pays £70,000–£100,000 plus bonus and benefits.
Hands-on Lead Data Engineer contract (3 months, extendable) building a modern Databricks data platform for a major UK organisation in Huddersfield — designing pipelines and bronze/silver/gold layers, leading existing data engineers, and transitioning the platform to sustainable BAU. Core tech: Databricks, SQL, production data pipelines.
Senior data engineer at Wayve in London building a petabyte-scale Data Transfer Hub that moves sensor data daily between global partners over a hub-and-spoke exchange infrastructure. Core stack is Python, Terraform, Flyte (or similar workflow tools), and Azure.
A hands-on Data Engineer joining an early-stage healthtech startup in London to help build out its data platform from the ground up — writing Python/SQL data pipelines using modern cloud technologies, with AI/LLM exposure a plus. Hybrid role with strong office presence in a small, growing team.
Data Engineer who designs, builds, and maintains data infrastructure, developing and deploying ETL processes for the efficient processing, storage, and analysis of large datasets. Hybrid role based in Lincolnshire on a fixed-term contract until 31/3/2027.
Senior Data Engineer at Credit Genie, a fintech financial wellness startup, owning the design and operation of scalable data pipelines and platform capabilities on Snowflake and AWS — covering batch, streaming, and CDC, ETL/ELT orchestration, data quality and observability — while partnering with analytics, data science, and product teams. Requires five days a week in the Plymouth Meeting, PA offi
Builds and optimizes data pipelines that feed ML-Ops systems for industrial and manufacturing clients, working mostly with OT/sensor time-series plus video and audio data. Core tech includes OSIsoft/AVEVA PI tools, Azure IoT, AWS IIoT, and scripting in Python, SQL, and PowerShell.
Big Data Platform Engineer role at HCLTech (Chennai/Bangalore) building core big data platforms: pipelines and orchestration with Python/PySpark and Airflow, open table formats (Iceberg/Delta Lake/Hudi), Kubernetes clusters, S3-compatible object storage, SQL, and DevOps on Linux. Requires 8+ years of experience.
TCS is hiring a 5–10 year experienced AWS + PySpark Data Engineer for an on-site role in Pune (via a walk-in drive). Day to day involves building big data pipelines on AWS (EMR, S3, Lambda, SNS, SQS), PySpark/Spark optimization and debugging, Python scripting, SQL, and applying data architecture patterns like Data Vault, data mesh, and data fabric.
Die SVO-Gruppe wirkt mit ihren Unternehmen aktiv an der Umsetzung der Energiewende mit und begleitet die Einwohner in ihrem Gebiet mit fortschrittlichenTechnologien in die Zukunft. Während der Energieversorger SVO…
Builds and maintains ETL pipelines for government/healthcare clients using Python, Azure Data Factory, and cloud tools to transform raw data into actionable insights for Medicaid and federal reporting.
CSpring is seeking a Senior Azure Data Engineer to design and build scalable data pipelines and enterprise data platforms using Azure technologies like Databricks, Synapse, and Microsoft Fabric. The role involves developing ELT workflows, implementing medallion architectures, and leading cloud migration initiatives.
Technogym is hiring a Data Platform Engineer with 3–5 years of experience to design and implement modern data platforms on Google Cloud Platform, focusing on near real-time data pipelines, data quality, and data integration from multiple sources. The role supports analytics and AI-driven insights in collaboration with Data Science and business stakeholders.
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