Lead Data & Analytics Engineer (d/f/m)

Henkel; Düsseldorf; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work

Hybrid work model

Work from anywhere up to 30 days/year

Growth opportunities

Wellbeing programs

Parental leave

Employee Share Plan

Company Pension Plan

MEGA Preventive Health Insurance

Mobility: My Henkel Bike & Jobticket

Job summary

Henkel is seeking a senior data analytics lead in Düsseldorf to own end-to-end design and delivery of enterprise data and analytics solutions. You will drive modernization of analytical apps, semantic models and data products across Databricks Lakehouse, Azure, and Microsoft Fabric, while advancing DataOps, CI/CD and self-service analytics.

The role requires 5+ years in Data, Analytics and AI, strong Databricks and Fabric experience, and English proficiency with German a plus.

Qualifications

• Master’s degree in CS, Engineering or Data Science.
• 5+ years in Data, Analytics and AI delivering enterprise-scale data products and data-driven solutions.
• Strong hands-on with Databricks (PySpark, Delta Lake) and Microsoft Fabric (OneLake, Power BI).
• Experience building and scaling Data & Analytics platforms including Data Mesh and KPI governance.
• Fluent in English; German is a plus.

Responsibilities

• Provide hands-on technical leadership and end-to-end ownership for design, engineering and delivery of enterprise data and analytics solutions.
• Lead modernization and optimization of analytical applications and data products across Azure Synapse, Azure Analysis Services to Databricks Lakehouse and Microsoft Fabric.
• Define and implement engineering standards, solution patterns and delivery practices.
• Establish DataOps, CI/CD, automation and self-service analytics to enable scalable delivery.
• Evaluate emerging technologies and AI tools to drive innovation in Henkel's Data, Analytics and AI landscape.
• Collaborate with business, engineering and platform teams to deliver high-quality analytics solutions.

Skills

Databricks (PySpark)

SQL

Python

Data governance

English fluency

Education

Master’s Degree in Computer Science, Engineering or Data Science

Tools

Databricks

Microsoft Fabric

Power BI

OneLake

Job description

About this Position

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

What makes you a good fit

• 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

Some perks of joining Henkel

• 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

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, generations and disabilities. If there are any specific accommodations or adjustments you require for the interview process or your on-site appointment, please inform us, and we'll do our best to accommodate your requests.

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.