Data engineer in cloud platforms

K LAGAN
Barcelona, Spain
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Compensation
€45,000 - €55,000
Working hours
Regular working hours
Languages
English

Tech stack

Clean Code Principles Adaptable Database Systems Agile Methodology Airflow Automation of Tests Microsoft Azure Big Data Cloud Computing Continuous Integration Information Engineering Extract Transform Load (ETL) Data Warehousing
+23 more
Python (Programming Language) PostgreSQL Microsoft SQL Server Performance Tuning Scrum Methodology Power BI Azure Data Lake SQL Databases Tableau (Software) Workflow Management Systems Cloud Platform System Data Ingestion Snowflake Apache Spark Git Pandas Microsoft Fabric Pyspark Data Management Tools for Reporting Terraform Software Version Control Databricks

Job 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 analytics environment, designing robust pipelines and scalable data models. We will arrange your visa!

Задачи

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.

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). 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.

Условия

  • We will arrange the documentation so you can be in Barcelona.
  • Barcelona (hybrid model: maximum 2 days in the office).
  • Full-time.
  • Indicative salary range: €45,000-€55,000 gross/year (adjustable according to the experience the candidate brings).
  • Stable project with high international impact on top-tier Cloud platforms.
  • Permanent contract and stable long-term project.
  • Private health insurance and mutual insurance.
  • Your birthday off: Enjoy it however, wherever, and with whoever you want!
  • Team Building: Barbecues, tech coffees, and meetups to bring us closer.
  • Ongoing support: Regular meetings with your BM to boost your growth and receive continuous feedback.
  • Access to additional training in tech skills, soft skills, and languages.
  • Special events: Summer dinner, Christmas dinner, and a charity day.
  • A stable project in a cutting-edge digital environment, ongoing training, close support from the K-LAGAN team, and an excellent working environment.

Requirements

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.

Benefits & conditions

  • We will arrange the documentation so you can be in Barcelona.
  • Barcelona (hybrid model: maximum 2 days in the office).
  • Full-time.
  • Indicative salary range: €45,000-€55,000 gross/year (adjustable according to the experience the candidate brings).
  • Stable project with high international impact on top-tier Cloud platforms.
  • Permanent contract and stable long-term project.
  • Private health insurance and mutual insurance.
  • Your birthday off: Enjoy it however, wherever, and with whoever you want!
  • Team Building: Barbecues, tech coffees, and meetups to bring us closer.
  • Ongoing support: Regular meetings with your BM to boost your growth and receive continuous feedback.
  • Access to additional training in tech skills, soft skills, and languages.
  • Special events: Summer dinner, Christmas dinner, and a charity day.
  • A stable project in a cutting-edge digital environment, ongoing training, close support from the K-LAGAN team, and an excellent working environment.

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