Senior Data Engineer - Data Platform (d/f/m)— Germany, Berlin, Germany, Düsseldorf, DX

Henkel Ltda; Berlin, Düsseldorf; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Flexible hours & hybrid work

Global growth opportunities

Pension plan 100% funded

Health insurance & wellbeing

Employee share plan

Parental leave

Mobility benefits

Zusammenfassung

Henkel is seeking a senior Data Engineer to join the Data Engineering Enablement team within the Henkel Data Platform. You will build backend services, tooling and frameworks used by data engineers across Henkel dx, and design robust data pipelines with source system integrations.

You will collaborate with other data platform teams to deliver a self-service distributed data and AI platform, while benefiting from training, rotations and extensive employee benefits at Henkel.

Qualifikationen

• University degree in computer science or a STEM field.
• Minimum 5 years of data engineering experience in Azure and/or Databricks.
• 5+ years with data orchestration tools (Airflow, Dagster, Prefect); Dagster preferred.
• Background in agile development, CI/CD and DataOps.
• Proven track record in building robust, scalable data products.

Aufgaben

• Build backend services, tooling and frameworks for Henkel data engineers.
• Design, develop and operate scalable data pipelines and system integrations.
• Collaborate across data platform teams to deliver a self-service data and AI platform.
• Advance data engineering practices with state-of-the-art methods.
• Work in an Agile environment with CI/CD and DataOps practices.

Kenntnisse

Azure

Databricks

SQL

Python

Airflow

Dagster

CI/CD

Ausbildung

University degree in CS or STEM

Tools

Airflow

Dagster

Prefect

Jobbeschreibung

You will be part of the Data Engineering Enablement team, one of the six teams that make up the Henkel Data Platform organization.

What you´ll do

• Are you interested in creating value from data?
• Build the backend services, tooling and frameworks used by all data engineers across Henkel dx
• Design, develop and operate scalable and robust data pipelines and source system integrations
• Advance the team with your expertise in state-of-the-art data engineering practices
• Collaborate with other data platform teams to deliver a user-centric, self-service distributed data and AI platform
• You can shape your career with various trainings, rotation and development programs while enjoying several employee benefits, we have at Henkel

What makes you a good fit

• University degree in a computer science or other STEM field
• Minimum 5 years of relevant experience with data engineering in an Azure and/or Databricks environment as well as experience with SQL and Python development
• Minimum 5 years of experience working with data orchestration tools (e.g., Airflow, Dagster, Prefect), with hands-on experience in Dagster preferred
• Background in agile development practices and in-depth experience with CI/CD and DataOps
• Proven track record in building robust, scalable, high-quality data products

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

JOB ID:26095635

Application Deadline: As long as the vacancy is listed on our Career Site, we are happy to receive your application

How is work at Henkel