Senior Data Engineer - Data Platform (d/f/m)

Henkel; Düsseldorf; Hybrid; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Wellbeing programs

Parental leave

Employee share plan

Company pension

Health insurance

Zusammenfassung

Henkel is looking for a Senior Data Engineer to join the Data Engineering Enablement team within the Henkel Data Platform organization in Germany. You will build backend services and pipelines used by data engineers across Henkel dx.

You will design and operate scalable data pipelines, work with Airflow, Dagster and Prefect in Azure/Databricks, and collaborate with multiple data platform teams. Fluent English is required; hybrid work and growth opportunities are offered.

Qualifikationen

• University degree in computer science or STEM field
• Minimum 5 years of data engineering experience in Azure/Databricks with SQL and Python
• Minimum 5 years of experience 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
• Fluent in English

Aufgaben

• Build backend services, tooling and frameworks used by data engineers across Henkel dx
• Design, develop and operate scalable data pipelines and source system integrations
• Advance the team with expertise in state-of-the-art data engineering practices
• Collaborate with other data platform teams to deliver a self-service distributed data and AI platform
• You can shape your career with trainings, rotations and development programs and enjoy Henkel benefits

Kenntnisse

Data engineering

SQL

Python

Airflow

Dagster

Prefect

CI/CD

DataOps

English

Ausbildung

University degree in Computer Science or STEM field

Tools

Airflow

Dagster

Prefect

Jobbeschreibung

About this Position

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

What you´ll do

• Are youinterested in creating value from data?
• Buildthe backend services, tooling and frameworks used by all data engineersacross Henkel dx
• Design,develop and operate scalable and robust data pipelines and source systemintegrations
• Advancethe team with your expertise in state-of-the-art data engineeringpractices
• Collaboratewith other data platform teams to deliver a user-centric, self-servicedistributed data and AI platform
• You canshape your career with various trainings, rotation and developmentprograms while enjoying several employee benefits, we have at Henkel

What makes you a good fit

• Universitydegree in a computer science or other STEM field
• Minimum5 years of relevant experience with data engineering in an Azure and/orDatabricks environment as well as experience with SQL and Pythondevelopment
• Minimum5 years of experience working with data orchestration tools (e.g.,Airflow, Dagster, Prefect), with hands-on experience in Dagster preferred
• Backgroundin agile development practices and in-depth experience with CI/CD andDataOps
• Proventrack record in building robust, scalable, high-quality data products
• Fluentin English

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.