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K-LAGAN in Barcelona seeks a Senior Data Engineer to design, develop, and scale data platforms in a high-impact analytics environment. You will build robust pipelines, design dimensional models, and implement Lakehouse architectures, ensuring data quality and governance across cloud environments such as Azure Data Lake and Databricks.
Join an international Agile team, collaborate with architects and analysts, and benefit from visa support, a hybrid work model (up to 2 days in the office), and a
At K-LAGAN, we are looking for a Senior Data Engineer to join our team and lead the development, optimization, and scaling of our data platforms in Barcelona. You will be part of a high-impact analytics environment, designing robust pipelines and scalable data models. We will arrange your visa!
Build, maintain, and optimize highly scalable data ingestion and transformation flows from heterogeneous sources. Design dimensional models (star/snowflake), Lakehouse architectures, and data staging layers, ensuring high standards of Data Quality and governance (Row-Level Security). Work in Cloud environments (Azure Data Lake) and with large-scale processing engines such as Databricks, Apache Spark, and dbt. Perform advanced queries, tuning, and maintenance on SQL Server, PostgreSQL, or modern DWH architectures. Write clean code using Python and SQL, ensuring version control (Git), automated testing, and deployments in CI/CD pipelines. Work in an international environment under Agile methodologies (Scrum/Kanban), in close coordination with architects, analysts, and business teams.
Established experience (+4 years) as a Data Engineer / Senior Data Engineer. Advanced command of SQL (SQL Server, PostgreSQL) and fluent development in Python (PySpark, Pandas). Practical experience with ETL/ELT processes and transformation/orchestration tools (dbt, Airflow, Spark). Experience with Cloud architectures (Azure Data Lake / Microsoft Fabric) and Big Data processing in Databricks. Advanced / fluent English (C1), both spoken and written (essential for daily contact with international teams). Autonomous, proactive, analytical profile with the ability to resolve incidents. Attention to technical detail and a Data-as-a-Product approach. Ability to work in distributed and international teams. Будет плюсом: Experience in the Insurance / Insurtech sector or regulated environments; Knowledge of Infrastructure as Code (Terraform) and CI/CD practices applied to data engineering; Use of Business Intelligence / Reporting tools (Power BI, Tableau); Official certifications in Azure, Databricks, or Agile methodologies.