Job
- Level
- Senior
- Location
- Ulm
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop robust data pipelines for integrating diverse source systems and optimize the storage and processing of data within a modern cloud environment using GCP.
Job Technologies
Your role in the team
- Technical responsibility for integrating various source systems and building stable data pipelines as the foundation of our data products.
- Design and implementation of robust ingestion patterns - from batch processing to high-volume streaming - as well as continuous optimization of the pipelines.
- Structured processing and transformation of raw data across various data zones into harmonized and high-performance data products.
- Ensuring stable pipeline operation with a focus on availability, security, scalability, and cost efficiency.
- Close collaboration with the Lead Data Platform Engineer in establishing modern development standards as well as technical support and mentoring of Data Engineers in Bucharest and Ulm.
- Joint development of suitable data products with the business units that address specific business requirements and problems.
- Shaping the cultural change from traditional DWH structures to agile, domain-oriented data product teams based on a central Data Platform.
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Our expectations of you
Qualifications
- Proven success in implementing and automating stable Lakehouse pipelines through consistent use of Infrastructure-as-Code (Terraform), modern data transformation frameworks (e.g., dbt Core), and CI/CD practices.
- Solid knowledge in integrating hybrid data landscapes and various source systems, including SAP systems (S/4HANA, CDC, ODP/CDS) as well as streaming workloads with high data volumes.
- Strong focus on the continuous assurance of system stability, scalability, and high data quality.
- Confident handling of agile working methods as well as professional development standards and the willingness to actively share and exemplify these technical best practices within the team.
- Fluent English skills and very good German or Romanian language skills.
Experience
- At least 4 years of hands-on experience in Cloud Data Engineering with a focus on data integration and building modern data pipelines.
- Deep technical expertise in the Google Cloud Data Stack (BigQuery, Dataflow, Managed Airflow, Dataplex, Pub/Sub, Cloud DLP) or comparable extensive experience on AWS/Azure.
- Practical experience in implementing modern governance solutions (e.g., Collibra) as well as robust security and compliance standards (e.g., VPC Service Controls, Policy Tags, GoBD).
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What we offer
- A Greenfield opportunity to design and build a new GCP Data & Analytics Platform from day one for one of Europe's largest family-owned retail groups.
- Modern technologies, challenging integration topics, and an environment where technological excellence is explicitly encouraged.
- Flexible working model (desk sharing and mobile working).
- Employee purchase discount.
- Good work-life balance.
- Conveniently located in the northern Ulm area.
- Subsidized company restaurant.
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Benefits
Higher Take-Home Pay
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Müller Holding GmbH & Co. KG
Müller Handels GmbH & Co. KG is a German drugstore trading company headquartered in Ulm, whose general partner is MVG Beteiligungs-GmbH, which has been registered in Vaduz since 2019.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Senior Data Engineer
- Location
- Ulm
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
