42,960 Data Engineering jobs
Data engineering roles building pipelines, warehouses and data platforms.
Data Engineering jobs by country — openings, pay and top skills →
Senior Data Engineer
Senior Data Engineer joining a growing Manchester business to build a greenfield modern data platform end to end — data ingestion, storage, modelling and quality across SQL/relational and NoSQL/time-series stores, including lakes, lakehouses or warehouses. Sets engineering standards and shapes a new data function oriented toward analytics and AI. Hybrid across 2 sites.
Data Engineer
Data Engineer on the easyJet holidays Data team, helping build a new Operational Data Platform: designing and maintaining ETL/ELT workflows, optimising pipelines, and supporting data governance. Core stack is Python, SQL, dbt/Airflow/Dagster/AWS Glue and a cloud platform (AWS, Azure or GCP); hybrid role, 3 days/week at the Luton HQ.
Senior Data Engineer
Hands-on senior data engineering role at a large UK organisation's established data function: design scalable cloud and on-prem data pipelines, lead migration/warehousing delivery, own platform standards and mentor engineers. Stack includes SQL, Talend, dbt, Azure Data Factory, Azure SQL, Snowflake, Terraform and Azure DevOps; hybrid with ~1-2 onsite days per month.
Lead Data Engineer
Lead a small data engineering team at an established UK digital consultancy delivering large-scale data and AI programmes for government, healthcare and enterprise clients. You stay hands-on building data pipelines at scale on Palantir Foundry, Spark and the cloud, set engineering standards, coach the team, and work directly with clients on scoping and proposals.
Senior Data Engineer: Scalable Pipelines & Data Leadership
EPAM seeks a Senior Data Engineer for its Amsterdam office (hybrid) to design and build scalable data pipelines, data models, and infrastructure for analytical solutions that drive business value. Requires deep ELT/data-integration skills, cloud experience (AWS/Azure/SAP), plus leadership and mentoring.
Manager, Data Engineering
Builds and maintains data pipelines, warehouses (BigQuery/Snowflake), and ETL processes to integrate, clean, and analyze large-scale datasets for analytics and reporting teams.
Manager, Data Engineering
MissionOne Media is a brand within BarkleyOKRP that combines full-funnel media planning and buying services, CRM, data, analytics, retail media, SEO, and digital experiences. We're an independent media partner offering…
Senior AI & Data Platform Engineer (NAM Portugal)
Joins Nordea Asset Management's AI and Data Innovation team to build and maintain the internal data platform: pipeline automation, CI/CD, and platform tooling with Python, Snowflake, DBT, DLT, Airflow, Terraform, and Docker, while bridging the platform with the AI Lab. Based in Oeiras (Lisbon), on-site first 6 months then hybrid.
Data Engineer & BI Specialist: Azure, Power BI, Databricks
Data Engineer & BI Specialist at Boomit (Lisbon, on-site) who builds data pipelines, data models, and Power BI dashboards while integrating Databricks, ADF, Synapse, and Microsoft Fabric, ensuring data governance and quality for the company's strategic partners. Requires a relevant degree and 3+ years of experience.
Hybrid Data Engineer - Apache NiFi Expert (Lisbon)
Hybrid-role Data Engineer in Lisbon at Closer Consulting, a data science consultancy. Day to day: designing Apache NiFi data pipelines, optimizing ETL/ELT processes, building CI/CD for data artifacts and data models, and mentoring junior engineers across client industries.
Cloud Data Engineer - Spark, Lakehouse & AI Workloads
Betaflow Consulting is hiring a cloud data engineer in Lisbon to build scalable data pipelines on AWS and Databricks, design modern Lakehouse architectures, and enable analytics, reporting, and ML/AI workloads with solid security and governance practices.
Data Engineer: Azure, Spark & ETL | Hybrid Lisboa
Data Engineer at Sysmatch, an IT consultancy serving national and international clients, designing and operating data pipelines and doing data modeling, ETL/ELT, governance, quality and security. Core stack: Microsoft Fabric, Power BI and cloud — preferably Azure — with a hybrid setup in Lisbon.
Azure Data Factory Data Engineer (Hybrid) – Porto
Shore seeks a Data Engineer based in Porto (hybrid) to develop and maintain data pipelines, integrating multiple sources and transforming data on Azure, ensuring dataset quality and availability to support analytics and reporting. Core stack: Azure Data Factory, Databricks, SQL, and Python/PySpark.
Senior Azure Data Engineer: Databricks & Power BI
Dellent, a consulting firm, is hiring a Senior Azure Data Engineer to work as a consultant on a multinational client project in Lisbon or Porto. Day-to-day involves building data pipelines with Databricks, PySpark, and dbt, using SQL and Azure Synapse, implementing CI/CD with Azure DevOps YAML pipelines, and creating Power BI dashboards.
Data Engineer - Scalable Cloud Pipelines & CI/CD (Lisbon)
Data Engineer at Devoteam Portugal in Lisbon, working with distributed cloud teams: designing scalable data architectures, building robust pipelines for large-scale datasets, and ensuring performance, reliability and security of data platforms, while promoting CI/CD and engineering standards.
Data Engineer & BI Developer
Data Engineer & BI Specialist at Boomit in Lisbon, working on a data architecture modernization project for strategic partners: building ETL/ELT pipelines, dimensional (Star Schema) models, and Power BI dashboards on Microsoft Azure, Databricks, and Microsoft Fabric.
Azure Data Factory Data Engineer
Data engineer developing and maintaining ETL/data pipelines on Microsoft Azure, writing and optimizing SQL queries, monitoring integration processes and ensuring data quality in a hybrid role based in Porto. Core stack includes Azure Data Factory, Azure Databricks/Synapse/SQL, Python and PySpark.
Data Engineer - Banking Data & AI (Lisbon)
Intelcia seeks a Data Engineer in Lisbon to join its Procurement & Performance Data Analytics & AI team on a 1-year mission supporting the international banking sector. The role focuses on optimizing data infrastructure, building high-performance data pipelines, and automating releases between environments.