Senior Data Engineer & Analyst (m/f/d) at eGym GmbH
81677 München, Bayern, Germany -
Full Time


Start Date

Immediate

Expiry Date

24 May, 25

Salary

0.0

Posted On

25 Feb, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Quality, Data Driven Decision Making, Privacy Regulations, Evolution, Pipeline Development, Storage, Data Processing, Maintenance, Emerging Technologies, Agile Environment, Data Governance

Industry

Information Technology/IT

Description

AS THE SENIOR DATA ENGINEER & ANALYST (M/F/D), YOU WILL BE A KEY DRIVER IN SHAPING THE DATA LANDSCAPE FOR EGYM’S RAPIDLY EXPANDING BUSINESS WITH FOCUS ON OUR CORPORATE WELLNESS BUSINESS UNIT. IF YOU’RE AN EXPERIENCED DATA EXPERT PASSIONATE ABOUT INNOVATIVE SOLUTIONS AND THRIVE IN AN AGILE ENVIRONMENT, YOU’RE EXACTLY WHO WE’RE LOOKING FOR. APPLY NOW AND JOIN OUR TEAM IN MUNICH, BERLIN OR PARIS!

  • Data Pipeline Development & Maintenance: You design, build, and maintain robust, scalable data pipelines to support current and future business needs

  • Data Governance & Quality: You implement and enforce data governance policies and procedures, ensuring compliance with data privacy regulations (e.g., GDPR) and maintaining high data quality across all projects

  • Performance Optimization: You identify and implement performance improvements in data processing, querying, and storage for efficient and cost-effective data utilization
  • BI Strategy & Evolution: You contribute to the continuous evolution of EGYM’s BI strategy by developing and executing new initiatives and evaluating emerging technologies and methodologies
  • Stakeholder Collaboration & Communication: You collaborate with stakeholders across departments (e.g., Business Analytics, Product, Operations, Sales, Marketing) to understand data needs and provide tailored solutions while effectively communicating technical concepts to non-technical audiences
  • Advanced Analytics & Insights: You develop and deliver advanced analytics and reports, proactively identifying trends and opportunities to support data-driven decision-making
Responsibilities

Please refer the Job description for details

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