Lead Data & Analytics Engineer (d/f/m) - #2742162
Henkel
Date: vor 2 Stunden
Stadt: Düsseldorf
Vertragstyp: Ganztags
About This Position
What you´ll do
Note: The email address you provide during the application process may also be used in later stages (e.g. for contract execution via digital tools). Please ensure that only you have access to this mailbox and that you can securely receive confidential information through it.
What you´ll do
- Provide hands-on technical leadership and end-to-end ownership for the design, engineering and delivery of enterprise data and analytics solutions in our Business Unit DX (It)
- Lead the modernization and optimization of strategic analytical applications, semantic models and data products, driving their evolution from Azure Synapse and Azure Analysis Services to Databricks Lakehouse, Microsoft Fabric, Enterprise Semantic Models and Data Mesh-enabled analytics capabilities while improving scalability, performance and business value
- Define and implement engineering standards, solution patterns and delivery practices aligned with business objectives, enterprise architecture principles and analytics platform strategy
- Establish and promote best practices for DataOps, CI/CD, automation and self-service analytics to enable scalable, reliable and efficient solution delivery
- Evaluate emerging technologies, platform capabilities and engineering practices and use of AI-based tools to drive innovation across Henkel's Data, Analytics and AI landscape
- Collaborate with business, engineering and platform teams to ensure the successful delivery of high-quality, scalable and business-driven analytics solutions
- Master’s Degree in Computer Science, Engineering or Data Science
- 5+ years of experience in Data, Analytics and AI, delivering enterprise-scale data products and data-driven solutions
- Strong hands-on expertise with Databricks (PySpark, Delta Lake, Lakehouse Architecture) and Microsoft Fabric (OneLake, Data Engineering, Power BI), as well as SQL and Python
- Proven experience building and scaling Data & Analytics platforms, including Data Mesh, Data Products, semantic models and KPI governance
- Fluent in English; German is a plus
- Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
- Diverse national and international growth opportunities
- Global wellbeing standards with health and preventive care programs
- Gender-neutral parental leave for a minimum of 8 weeks
- Employee Share Plan with voluntary investment and Henkel matching shares
- Company Pension Plan 100% financed by Henkel
- MEGA Preventive Health Insurance
- CareFlex Supplementary Care Insurance
- Mobility offer: My Henkel Bike and Jobticket
Note: The email address you provide during the application process may also be used in later stages (e.g. for contract execution via digital tools). Please ensure that only you have access to this mailbox and that you can securely receive confidential information through it.
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