Job
- Level
- Experienced
- Location
- Ahrensburg
- Working Model
- Onsite
- Job Field
- BI, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop the technical foundation of our data platform, integrate source data, model with Data Vault, and optimize ETL processes for high-quality data delivery across various applications.
Job Technologies
Your role in the team
- As a Data Engineer, you develop and operate the technical foundation of our data platform together with our team.
- You oversee the entire data lifecycle - from integrating source data, modeling in the Enterprise Data Warehouse, to providing high-quality data for business units, self-service analytics, and AI applications.
- You work closely with Product Owners, Data Stewards, and the business units, actively contributing your ideas to the further development of our platform.
- You continuously develop our Enterprise Data Platform based on the Data Vault methodology.
- You model Raw Vault, Business Vault, and Access Layer with the Data Vault Builder.
- You develop high-performance business logic and transformations primarily using SQL.
- You design, develop, and optimize ETL/ELT processes as well as data pipelines.
- You integrate data from SAP, Salesforce, Kafka, and other enterprise systems.
- You provide high-performance data models for reporting, self-service BI, and Metabase.
- You collaboratively develop meaningful data models and dashboards with the specialist departments.
- You monitor the operation, performance, and technical data quality of our platform.
- You work with Git and Azure DevOps on a modern deployment and CI/CD strategy.
- You document data models and data flows in Open Metadata.
- You create the data foundation for Generative AI, RAG solutions, and intelligent assistance systems.
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Our expectations of you
Qualifications
- Knowledge of ETL/ELT processes and data integration.
- Enjoyment in developing technical solutions together with business units.
- Analytical thinking, structured working style, and high sense of responsibility.
- Interest in modern topics such as DataOps as well as Generative AI and Retrieval-Augmented Generation (RAG).
Experience
- Several years of experience as a Data Engineer, Data Warehouse Engineer, or in a comparable role.
- Excellent SQL skills and experience with relational databases, ideally PostgreSQL.
- Experience with enterprise data modeling, preferably Data Vault.
- Experience with Git, Azure DevOps, and modern deployment processes.
- Ideally, experience with Datavault Builder, Docker, Metabase, Open Metadata, SAP (Theobald Extract), Kafka, or Trino.
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What we offer
- We offer excellent conditions for a successful, shared future.
- We are an independent medium-sized family business that is actively forging its path.
- We are confident and highly motivated in what we do, and our employees are the key factor for our shared success.
- A success-oriented and future-proof environment, with all the advantages of a stable family business in its third generation.
- A partnership based on equality; feedback is not a one-way street for us.
- The opportunity to contribute your ideas, shape developments, and have space for your creativity.
- Sincere interest in you as a person and understanding of your circumstances; we offer everyone "the right desk".
- Our comprehensive employee benefit model (including company pension scheme, option for a JobRad, and participation in the Deutschlandticket).
- Excellent transport links as well as shopping facilities right around the corner.
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Benefits
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Christoph Kroschke Holding GmbH & Co. KG
As a leading company in the industry, Christoph Kroschke GmbH offers innovative vehicle services, efficient process solutions, and digital services. With over 500 service points nationwide and 17 European partners, the company is well-positioned to provide you with a quick and easy vehicle registration.
Description
- Founding Year
- 1957
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier
Employer reviews
by devworkplaces.com
Total
(1 Review)3.3
Culture
3.5Engineering
3.0Career Growth
3.2Workingconditions
3.7
Data Engineer - Enterprise Data Platform
- Location
- Ahrensburg
- Working Model
- Onsite
- Diversity
- Open for all genders
