Data engineer de plataformas de datos
Senior Data Engineer at K-LAGAN (Barcelona, hybrid with max 2 office days/week) building, optimizing, and scaling data platforms: designing ingestion/transformation pipelines, dimensional and lakehouse models, and ensuring data quality and governance. Core stack: Azure Data Lake, Databricks, Spark/PySpark, dbt, Airflow, Python, SQL, and CI/CD.
- Compensation
- €45K–€55K / yr
- Location
- Barcelona, Spain
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Established experience (+4 years) as a Data Engineer / Senior Data Engineer
- Advanced SQL (SQL Server, PostgreSQL)
- Fluent development in Python (PySpark, Pandas)
- Hands-on experience with ETL/ELT 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), spoken and written
- Residence in Barcelona
- Autonomous, proactive, analytical profile with ability to resolve incidents
- Attention to technical detail and a Data-as-a-Product approach
- Ability to work in distributed and international teams
Nice to have
- 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 BI/Reporting tools (Power BI, Tableau)
- Official certifications in Azure, Databricks, or Agile methodologies
Full description
Описание:
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 analytical environment, designing robust pipelines and scalable data models.
Задачи:
Build, maintain, and optimize highly scalable data ingestion and transformation flows from heterogeneous sources. Design dimensional models (star/snowflake), Lakehouse architectures, and staging data 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. Write advanced queries, perform tuning, and maintain 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 using Agile methodologies (Scrum/Kanban), in close coordination with architects, analysts, and business teams.
Требования:
- 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).
- Hands‑on 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).
- Residence in Barcelona.
- 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
Условия:
- Barcelona (hybrid arrangement: maximum 2 days in the office).
- Full‑time.
- Indicative salary range: €45,000–€55,000 gross/year (adjustable depending on the candidate's experience).
- Stable, high‑impact international project on leading Cloud platforms.
- Permanent contract and stable long‑term project.
- Private health insurance and mutual insurance.
- Your birthday off: Enjoy it however, wherever, and with whomever you want!
- Team Building: barbecues, tech coffee meetups, and gatherings to bring us closer.