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
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!
Let op: vacaturefraude
Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
- Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
- Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website.
Important: job fraud
Unfortunately, job fraud is becoming more common. Beware of such scams:
- We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
- If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.