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HCLTech is hiring a Data Engineer in Vitoria-Gasteiz, Spain to design and maintain enterprise data solutions: ingesting and processing data, building scalable ETL/ELT pipelines, and implementing DevOps, CI/CD and observability practices in cloud environments. Core stack: Python, Pandas and NumPy.
A senior data engineer builds and maintains ELT pipelines and data products (fund accounting, positions, NAV, regulatory reporting) on Snowflake using dbt, Python and Terraform for a leading international financial services firm, partnering with governance, security and compliance teams. Based in Madrid with a hybrid work model.
Data Engineer building and evolving a data platform in Barcelona (hybrid, 2 days on-site): data modeling, ETL/ELT integrations, data governance, and scalable Power BI reporting on Databricks SQL, with future AI capabilities in mind. Permanent contract, working across business and tech teams.
Data Engineer in Madrid building ETL/ELT pipelines on Microsoft Fabric: designing Lakehouse (Bronze/Silver/Gold) ingestion from databases, APIs and files using Python, PySpark, Spark SQL and SQL, with incremental loads, data modeling and semantic models for Power BI.
Senior Data Engineer in Madrid (hybrid) who designs robust Snowflake-based data architectures and scalable data products, collaborating with governance teams and product owners. Day-to-day work centers on building ETL/ELT pipelines with Snowflake, dbt, Python, and Terraform.
Senior Data Engineer designing and maintaining scalable Azure data pipelines (Databricks, Data Factory, Python/Spark) in collaboration with Data Science and Analytics teams. Permanent contract, 100% remote from Spain with flexible hours.
Data Engineer at Krell Consulting designing and optimizing cloud data platforms built on Snowflake and DBT: developing ELT transformations and analytical/dimensional models, tuning performance, security and costs, and collaborating with Agile teams. Requires advanced SQL and B1 English.
A senior data engineer at DWS (Deutsche Bank's asset manager) who designs and operates scalable ELT pipelines and data platform components on Snowflake using dbt, Python, and Terraform, powering fund accounting, NAV, and regulatory reporting data products.
Data Engineer/Data Architect at GFT Technologies in Madrid, designing and implementing data pipelines and scalable Big Data architectures, optimizing ETL/ELT, and ensuring data governance and quality. Core stack: Python, Spark, Kafka, advanced SQL, Data Lake/Delta Lake, AWS/Azure, Airflow/dbt.
Data Engineer at GEA Group designing and maintaining scalable data pipelines, data models, and analytics platforms on Azure, Databricks, and InfluxDB to power analytics, AI, and predictive maintenance for food and beverage processing plants. Role can be based in Alcobendas (Spain), Naas (Ireland), or Bogota (Colombia).
Mid-level backend engineer at Flanks in Barcelona (hybrid) who designs, builds, and maintains data pipelines and backend services powering its Open Wealth Platform. Day-to-day work centers on ETL/ELT data ingestion and transformation using Python and/or JavaScript with SQL/NoSQL databases.
Data Engineer on EA's Localization Data & AI team, designing and maintaining scalable ETL/ELT pipelines for AI solutions over multilingual game data. Day to day involves Spark-based large-scale processing on AWS/Azure and collaborating with data scientists and ML engineers to deploy models with strong governance and security.
Senior Data Engineer on the Data Platform & Analytics team designing, building, and operating scalable data pipelines and platform capabilities across Snowflake and AWS, including ETL/ELT orchestration, data quality monitoring, and cost/performance optimization. Core stack is Snowflake, AWS, SQL, Python, and tools like dbt and Airflow.
Senior Quality Engineer on FloQast's Data Platform QE team, designing and scaling automated test frameworks for data pipelines, ETL/ELT workflows, REST APIs, and backend services that process financial data, using JavaScript/TypeScript, Python, SQL, and cloud data warehouses like Snowflake.
Build and maintain data pipelines and warehouses for an AI platform company, ensuring clean, reliable data for product, ML, and ops teams using modern ETL tools and SQL.
Builds and maintains data systems that turn advertising platform metrics into actionable insights for sales and client teams using Python, SQL, and Snowflake.
Leads a data analytics and reporting team at a benefits administration company, serving as final reviewer of reports and dashboards, driving complex SQL-based analyses and KPI development, managing analysts, and modernizing the reporting stack (Power BI and similar tools) toward self-service, automated reporting.
Data Engineer at Clera will build the real-time data platform, data warehouse, and customer-facing data products for wholesale and distribution executives. Day to day: owning end-to-end ETL/ELT pipelines and data models using Databricks, SQL, dbt, Python/PySpark, Terraform, and AWS, on-site in Berlin.
Founded in 2004, NetBrain is the leader in no-code network automation. Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud connected networks by…
Build and maintain data pipelines and models for a client-retention team using dbt, Snowflake, and AI coding tools to power predictive personalization in a marketplace platform.
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