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Consultant – Data Engineering
Billigence. Design, develop, and manage end-to-end engineering solutions, from data models to pipelines .
Tech Stack
Tools & technologiesMatillionPythonSQLTableau
About the role
Key responsibilities & impact- Design, develop, and manage end-to-end engineering solutions, from data models to pipelines
- Build and optimize data infrastructure using Snowflake, Databricks, Microsoft Fabric, dbt, Alteryx, or similar platforms
- Develop BI solutions with Tableau, Power BI, or ThoughtSpot
- Collaborate with stakeholders to gather requirements and implement pragmatic solutions
- Ensure data quality and introduce best practices
- Contribute to data-driven strategies, including ML/AI
- Work independently on varied, well-scoped projects
Requirements
What you’ll need- 2+ years of experience as a Data Engineer
- Experience with the entire process, from data source to finished product
- Strong knowledge of Python, SQL, and Alteryx
- Experience with Snowflake, dbt, Matillion, Fivetran, or Microsoft Fabric is a strong plus
- Clear and confident communication with clients and team members
- Proactive and self-directed approach to work
- Fluent, professional-level German and English; both are essential
Benefits
Comp & perks- International projects using state-of-the-art data tools
- Flexible working hours
- Fully remote work from anywhere in Germany
- Pluxee
- JobRad
- Generous annual professional development budget
- Transparent bonus structure
- Certification opportunities throughout your time with us
- Ongoing training and development
- AI-friendly work environment with the opportunity to use AI as a work partner
- Diverse, global team
- Company culture built on collaboration, mutual support, and fun
- Sports enthusiasts’ community