Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Coesfeld
- Working Model
- Onsite
Job Summary
In this role, you will develop automated data pipelines on Databricks, integrate and transform data for AI applications, and ensure quality through precise monitoring and governance. You will operationalize ML pipelines and advance data engineering standards.
Job Technologies
Your role in the team
- You are responsible for the operation and further development of our data engineering and analytics platform based on Databricks.
- Together with our data scientists, data architects, and business units, you will develop data pipelines and curated datasets as a foundation for data-driven decisions and AI applications.
- You integrate and transform data from a wide variety of source systems and make it usable for advanced analytics, machine learning, and AI.
- You ensure data quality through automated validations, structured monitoring, alerts, and clear governance rules.
- You operationalize analytics, ML, and AI pipelines according to DevOps/MLOps principles with CI/CD, reproducible deployments, and ensure reliable operation.
- You actively contribute to the development of our data engineering principles and standards and promote new technologies as well as best practices.
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Our expectations of you
Education
- Completed degree in natural/scientific/engineering sciences, mathematics, (business) informatics, or related fields with relevant specialization.
Qualifications
- Very good spoken and written German and English skills.
- Knowledge of SAP environments (e.g., SAP Datasphere) is desirable.
- Excellent knowledge of Python and SQL, as well as a strong understanding of methodical software engineering.
- Solid understanding of data modeling, Lakehouse principles, and governance as a foundation for scalable data and AI infrastructures.
- Enjoyment in driving projects forward independently.
- Team orientation, strong communication skills, initiative, a high level of quality awareness, and the motivation to familiarize oneself with business processes.
Experience
- Several years of experience as a Data Engineer in building and operating cloud-native ETL/ELT, batch, and streaming pipelines.
- Extensive practical experience with Databricks. Cloud expertise (Microsoft Azure and/or AWS) is a prerequisite.
- Experience with orchestration, CI/CD, Infrastructure as Code (e.g., Terraform), and containerization.
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What we offer
- We foster a strong sense of community on campus with a 37.5-hour workweek and a daycare directly on campus.
- Vacation and Christmas bonuses, company pension scheme (BAV), salary conversion (VL), corporate benefits, employee discount, and bike leasing.
- 30 vacation days, free gym on campus, modern workspaces with a large campus garden, several coffee hubs, and food spots with fresh menus.
- Internal events and activities on the campus with a boule court, padel court, and multi-sport field.
- With structured onboarding, regular feedback sessions, and individual development opportunities.
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Benefits
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Work-Life-Integration
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Topics that you deal with on the job
Job Locations
This is your employer
Ernsting's family GmbH & Co. KG
Die Ernsting's family ist -neben rund 1.865 Filialen deutschland- und österreichweit sowie einem erfolgreichen Online-Shop- auch einer der größten Cross-Channel-Anbieter im deutschen Textileinzelhandel. Unsere Kunden freuen sich über ein attraktives Preis-Leistungs-Angebot in den Bereichen Bekleidung, Wäsche, Accessoires sowie Home- und Living-Sortimente für die ganze Familie. Der Familiengedanke findet sich auch in unserer Unternehmenskultur wieder: Hier wird gemeinsam gelacht und diskutiert - immer im respektvollen Miteinander.
Description
- Founding year
- 1967
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Dev Reviews
by devworkplaces.com
Total
(1 Review)Culture
3.0Workingconditions
3.0Engineering
3.6Career Growth
2.8
Senior Data Engineer
- Location
- Coesfeld
- Working Model
- Onsite
- Diversity
- Open for all genders
