About the role.
Mission: Build governed data products, pipelines, analytics and AI-enabled components, and take them into production under company data and responsible-AI governance.
Responsibilities
- Design and build data pipelines and data products on a Lakehouse (medallion architecture).
- Productionise analytics and AI components (RAG, agents, model evaluation) and monitor them in production.
- Implement data quality controls, lineage and observability.
- Work with data owners on access, quality remediation and acceptance evidence.
- Contribute engineering options and estimates during solution framing.
Must have
- 6+ years of hands-on data engineering, with solutions running in production.
- Strong Python and SQL, with software-engineering discipline (testing, code review, CI/CD).
- Experience with cloud data platforms.
- Experience putting analytics or ML/AI use cases into production.
- Fluent in English (C1)
Preferred:
- Azure (ADLS Gen2, Key Vault), Databricks and Unity Catalog, dbt, dltHub, Azure AI Foundry / OpenAI, Power BI or Qlik, asset-heavy or industrial domain.
What do we offer you?
- Full-time, permanent employment contract (UoP)
- Hybrid set-up
- Professional growth and career development opportunities, with access to continuous learning.
- The opportunity to join a multicultural and international environment, collaborating with colleagues and teams across different countries.
- A comprehensive range of benefits designed to support your physical, emotional and financial wellbeing.
- Smart Office Pack to support your remote working experience.
If you have read this far and you are looking forward to joining this challenge, do not hesitate to apply... we would be delighted to meet you!
Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).