Data Engineer

Data Engineer

Posted 1 week ago by Huxley

Negotiable
Undetermined
Hybrid
Location Barcelona, Catalonia, Spain

Summary: The role of Data Engineer involves joining a strategic greenfield initiative to develop a modern end-to-end data platform within the healthcare sector. The position requires designing and building data pipelines, ensuring data quality, and collaborating with various stakeholders. The ideal candidate will have significant experience with Azure and Databricks, along with strong technical skills in data processing and analytics. This is a full-time position based in Barcelona with a hybrid working arrangement.

Key Responsibilities:

  • Design and build data pipelines (Databricks, ADF)
  • Develop data ingestion from APIs and streaming sources
  • Build event-driven / near real-time data solutions
  • Transform and model data for analytics use cases
  • Ensure data quality, observability and reliability
  • Collaborate with stakeholders and technical teams
  • Apply best practices (CI/CD, testing, code reviews)
  • Ensure governance, security and compliance standards
  • Participate in architecture decisions and mentoring

Key Skills:

  • 4-5 years of experience as Data Engineer
  • Strong experience with Azure & Databricks
  • Advanced knowledge of PySpark
  • Strong SQL skills (large-scale environments)
  • Experience with Snowflake / Redshift or similar
  • Experience with Spark or big data processing
  • Professional level of English

Salary (Rate): undetermined

City: Barcelona

Country: Spain

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

For one of our key clients, we are looking for a Data Engineer to join a strategic greenfield initiative focused on building a modern end-to-end data platform in the healthcare environment, integrating clinical systems and enabling real-time and event-driven capabilities.

Key Responsibilities

  • Design and build data pipelines (Databricks, ADF)
  • Develop data ingestion from APIs and streaming sources
  • Build event-driven / near real-time data solutions
  • Transform and model data for analytics use cases
  • Ensure data quality, observability and reliability
  • Collaborate with stakeholders and technical teams
  • Apply best practices (CI/CD, testing, code reviews)
  • Ensure governance, security and compliance standards
  • Participate in architecture decisions and mentoring

Required Skills

  • 4-5 years of experience as Data Engineer
  • Strong experience with Azure & Databricks
  • Advanced knowledge of PySpark
  • Strong SQL skills (large-scale environments)
  • Experience with Snowflake / Redshift or similar
  • Experience with Spark or big data processing
  • Professional level of English

Position Details

  • Duration: 6 months (+ extension)
  • Full time - 40 hours per week
  • Start date: ASAP
  • Location: Barcelona (Hybrid)

If you're interested or know someone who could be a great fit, feel free to reach out!

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