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Jems Belgium / Anais Digital

Jems Belgium / Anais Digital

www.anais.digital

1 Job

46 Employees

About the Company

Anais Digital helps you to conceive, validate and build digital Lean projects to achieve your business objectives.

Our specific methodology combines Lean Startup approach, Lean UX, Lean Analytics and Agile Development.

Experience shows that creating sustainable growth through digital innovation is difficult, requiring first that the project scope be aligned with the targeted market’s needs and then as a first starting point, to conceive the smallest solution that matches the needs.

Concretely, we create high fidelity prototype based on qualitative interviews.
To mitigate risks and raise objections, we test a minimum version (MVP) that matches with customer objectives and end user needs. We measure performances and adapt the solution to achieve expected results.

This scientific approach allows getting faster results and at the end, more adoption.

Life is too short to build projects that nobody wants.

More on www.anais.digital

Listed Jobs

Company background Company brand
Company Name
Jems Belgium / Anais Digital
Job Title
Data Engineer - Expert Dataiku
Job Description
**Job Title:** Data Engineer – Dataiku Expert **Role Summary:** Design, develop, and maintain complex data transformation pipelines using Dataiku for a client in the energy sector. Ensure data quality, collaborate with cross‑functional teams, and drive end‑to‑end project delivery while adhering to best practices and governance standards. **Expectations:** - Minimum 5 years of professional experience in data engineering projects. - At least 2 years of hands‑on experience with Dataiku. - Strong proficiency in SQL (≥5 years) and Python (≥2 years). - Experience with a major cloud platform (AWS, GCP, or Azure). - Fluent in English and French or English and Dutch; additional language a plus. - Proven ability to work autonomously, proactively, and adapt to evolving technologies. **Key Responsibilities:** - Design, build, and maintain Dataiku data‑transformation workflows following defined guidelines. - Collaborate with other Dataiku developers to refactor and replace legacy SAS programs. - Ensure data quality, reliability, and performance across pipelines. - Lead full‑cycle project delivery from requirements gathering to production deployment. - Apply best practices for complex data transformations and data governance. - Provide technical guidance and propose innovative solutions within a dynamic team environment. **Required Skills:** - Dataiku platform (expert level). - SQL (advanced) and Python (intermediate to advanced). - Cloud services: AWS, GCP, or Azure. - Data modeling, ETL/ELT design, and pipeline orchestration. - Version control (Git) and CI/CD concepts. - Strong analytical and problem‑solving abilities. - Effective communication and teamwork skills. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Engineering, Computer Science, Information Systems, or a related field. - Relevant certifications (e.g., Dataiku DSS Certified Expert, cloud provider certifications) are advantageous but not mandatory.
Brussels, Belgium
Hybrid
13-10-2025