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Senior Data Engineer who owns Flinks' data and ML platform end to end: building BigQuery/dbt/Airflow pipelines on GCP, standing up ML production infrastructure (Kubeflow on Vertex AI, FastAPI serving), and hardening data quality and governance. Needs 5+ years of cloud data engineering with expert SQL and strong Python.
Senior Data Engineer for a federal government digital health agency, responsible for designing and maintaining scalable data pipelines and analytics solutions. Core technologies include Azure Data Factory, Databricks, Python (PySpark), SQL, and Power BI within a medallion/delta lake architecture.
Senior Data Engineer responsible for designing and managing a Microsoft Fabric data platform. The role involves building end-to-end data solutions from ingestion to semantic modeling using SQL, Python/PySpark, and Power BI.
Remote senior data engineer role at Social Discovery Group: migrate analytical workloads from MS SQL Server to a modern cloud data platform (GCP — BigQuery, Cloud Composer, GCS), build batch ETL/ELT pipelines and analytical models in Python, validate data quality, and develop AI-assisted automation for data engineering workflows.
GFT Technologies is hiring a Senior Data Engineer in Valencia to lead data governance, quality, and architecture initiatives for a major European banking client, designing and building data pipelines and platforms on GCP. Core stack: Python, Airflow, Spark, BigQuery and GCP data services; advanced English required.
Senior Data Engineer at Open Digital Services (Santander Group's software arm) designing, building and optimizing large-scale data pipelines with Spark (Scala/PySpark), Python and SQL on AWS to support analytics, ML and reporting for banking products like Openbank. Madrid hybrid (2 days/week in office) or remote within Spain.
Senior Data Engineer (LLM & RAG) hired directly into a client's payroll for an international project with a large telecom group. Day to day: build scalable batch/real-time data pipelines, evolve warehouse/lakehouse architecture and data quality, and deliver LLM/RAG solutions (agents, vector DBs, FastAPI) with Python/Spark on Azure/Databricks. 100% remote in Spain.
Viking Cruises seeks a Senior Data Platform Architect to design, administer, and secure its Azure Databricks platform powering finance, marketing, and booking/reservation data — covering Unity Catalog governance, pipelines, ML platform administration, AI-assisted engineering standards, and reliability and cost ownership. Based onsite in Los Angeles County.
Senior engineer who owns the hands-on building and operation of JD Power's Snowflake data platform: account/warehouse architecture, Terraform-based IaC and database CI/CD, RBAC and security controls, ingestion pipelines, and cost/performance observability serving analytics, product, and AI/ML workloads. Core stack: Snowflake, Terraform, AWS, Python, SQL, Kafka/Fivetran/dbt.
Senior Data Engineer designing and building scalable Azure data solutions and Applied AI projects for clients in finance, energy, mobility, and healthcare, acting as the technical point of contact in multidisciplinary consulting teams. Core stack includes Azure, Databricks, Apache Spark, streaming, and LLM tools like LangChain and OpenAI.
Senior Data Engineer at Navara, a Dutch data & AI consultancy in Amsterdam: you move between client projects — building data pipelines, designing future-proof data architectures, and migrating data sources to the cloud, notably for energy-sector clients — using AWS, Microsoft Azure, and Snowflake.
Senior Data Engineer on Wells Fargo's AI/ML Data Architecture team, building scalable, secure data pipelines and reusable ML data capabilities on Google Cloud Platform (BigQuery, Dataflow, Dataproc, Pub/Sub, Composer) to support data scientists from experimentation to monitoring. Hybrid role based in San Francisco or Charlotte.
Senior Data Engineer on an initial 6-month contract (hybrid, 2 days/week onsite in London) designing and maintaining production-grade data pipelines using AWS, PySpark, Snowflake and DBT, with CI/CD via GitHub Actions and Terraform exposure. Day rate £400–£500 via umbrella.
Designs and builds cloud-based data pipelines and analytics platforms on Azure and Databricks for P&G's Family Care commercial team, delivering sales, consumption, and media analytics plus AI-powered automation and agents, using Python/PySpark, SQL, and AI-assisted dev tools like GitHub Copilot.
Senior Data Engineer defining, implementing, and supporting Elevate Financial Services' data engineering platform: building Snowflake SQL and Python data pipelines, warehousing, reporting, and third-party integrations, while leading a team of data and analytics engineers.
A Data Engineer joins the Data & AI team of a leading Italian pharmaceutical company in Milan (hybrid), building and maintaining scalable ETL/ELT pipelines, integrating ERP/MES/API sources, and enabling warehousing, lakehouse, analytics and AI/ML use cases using Python, SQL, Spark and cloud data platforms.
Senior Data Engineer at Reti S.p.A., an Italian IT consultancy, designing and optimizing ETL/ELT pipelines and enterprise data platforms using Microsoft Fabric (Lakehouse, Data Factory, Synapse), SQL Server/Oracle, and orchestration tools like Airflow. On-site role in Italy with €35k–45k RAL plus CCNL Commercio.
Freelance, fully remote senior data engineer role: designing, building and monitoring reliable data pipelines, managing databases and data warehouses, and ensuring data quality, using SQL, Python, ETL/ELT tooling and a major cloud platform (AWS, Azure or GCP). Contract renews every 3 months at a rate of €300–350.
Primus Connect in London is seeking multiple Senior Data Engineers to join a major data transformation and migration programme focused on London Market / specialty insurance. You will work across three related…
Senior Data Engineer at FDJ UNITED, a major European betting and gaming operator, working in London to build and modernize the company's cloud data platform. Day to day: developing data lake/lakehouse architectures (e.g., Apache Iceberg), ETL/ELT pipelines with dbt and Airflow on AWS or Azure, plus CI/CD automation and generative-AI-enabled self-service analytics.
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