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Dataiku Engineer
Posted on March 30, 2026
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About the role
Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions. Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku. Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku. Ensure solutions align with enterprise data governance, security, and compliance standards. Act as a technical advisor to the Data Management team, contributing to solution design and delivery. Document architectural decisions and promote knowledge sharing across the team
Requirements
✔ 5+ years of experience in Data Engineering, Data Architecture, or related roles ✔ Strong hands-on experience with Dataiku (DSS), including building production-grade data pipelines ✔ Solid understanding of ETL/ELT processes, data modeling, and SQL ✔ Hands-on experience with Azure Data ecosystem (Azure Data Factory, Synapse, Azure SQL, Data Lake) ✔ Strong programming skills in Python and SQL scripting ✔ Experience with API integrations and data platform integrations ✔ Proven experience working in enterprise environments (financial services preferred) ✔ Ability to analyze multiple solutions and recommend optimal, scalable approaches ✔ Exposure to data visualization and modern data engineering practices ✔ Strong analytical, problem-solving, and troubleshooting skills ✔ Excellent communication, documentation, and mentoring abilities ✔ Ability to work effectively in a remote/hybrid collaborative environment
Skills
- Dataiku (DSS)
- Data Engineering
- Data Architecture
- ETL/ELT
- Data Modeling
- SQL
- Python
- Azure Data Factory
- Azure Synapse
- Azure SQL
- Azure Data Lake
- API Integration
- Data Pipelines
- Workflow Orchestration
- Enterprise Data Solutions
- Data Governance
- Cloud Data Platforms