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Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain Dataiku workflows and data pipelines.
- Build data ingestion, transformation, and reconciliation processes.
- Develop SQL and Python solutions supporting business requirements.
- Implement data quality controls and monitoring mechanisms.
- Translate business needs into scalable technical solutions.
- Support data governance and lineage initiatives.
- Contribute to workflow automation and process industrialization.
Requirements
What you’ll need- Bachelor's or Master's Degree in Computer Engineering, Computer Science, Information Systems, Data Engineering, or related field.
- 3+ years of experience in Data Engineering, Data Management, or Data Analytics.
- Strong Dataiku DSS experience.
- Advanced SQL and Python skills.
- Experience with ETL/ELT processes.
- Experience building data pipelines and workflow automation solutions.
- Knowledge of data quality and reconciliation frameworks.
- Strong problem-solving and communication skills.
- Fluency in English (B2 minimum).
- Must be a Portuguese or European citizen, or hold a valid work permit for Portugal.
Benefits
Comp & perks- Meal allowance: €10.20/day
- Flexible benefits plan
- Private medical insurance
- 22 days of annual leave, increasing every 3 years (up to 25 days)
- Continuous learning via KLX – Keyrus Learning Experience
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonDataikuETLELTdata ingestiondata transformationdata reconciliationdata quality controlsworkflow automation
Soft Skills
problem-solvingcommunication
Certifications
Bachelor's DegreeMaster's Degree