Jobs and Careers

Senior Analytics Engineer / BI Developer (m/f/d)

Germanyfull_timeVerifiedPosted 17 Dec 2024

About the role

Develop and maintain data pipelines: Leverage Y42 with dbt Core on GCP (BigQuery) to build, optimize, and maintain robust and scalable data pipelines.
Create Power BI/MS Fabric solutions: Develop Power BI semantic models using DAX, design interactive dashboards, and build reports in Power BI Desktop to deliver actionable insights.
Support ad-hoc analyses: Utilize Python for one-off analyses and to support the development and maintenance of custom components in the data stack and pipelines.
Collaborate with stakeholders: Work closely with cross-functional teams to gather requirements, align on expectations, and implement data solutions that meet business needs.
Drive data quality and governance: Ensure data accuracy, consistency, and security across all solutions and contribute to the evolution of data governance practices.
Stay current: Keep up-to-date with the latest trends and advancements in analytics, data engineering, and BI technologies, proactively sharing knowledge and ideas for continuous improvement

Bachelor's or Master's degree in computer science, data science, mathematics, statistics, engineering, business, or a comparable
SQL Expertise: Proven proficiency in writing efficient and scalable SQL for BigQuery or similar platforms.
Power BI: Hands-on experience developing Power BI semantic models using DAX, creating dashboards, and building reports.
Y42 and dbt Core: Familiarity with these tools or similar experience with data pipeline platforms and transformation frameworks.
Experience in a Fast-Paced Environment: Background in startups, scaleups, or other dynamic work environments.
Stakeholder Collaboration: Strong communication skills to gather requirements, align on deliverables, and present findings effectively.
Problem-Solving Skills: Ability to analyze complex problems, identify root causes, and implement effective solutions.