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Data Platform Engineering Manager

Müller Holding GmbH & Co. KG
Bucharest, Germany
3 days ago
Apply on karriere.mueller.de
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German, Romanian
Job source
karriere.mueller.de

Tech stack

Artificial Intelligence Airflow Amazon Web Services Microsoft Azure BigQuery Cloud Computing Code Review Continuous Integration Data Architecture Information Engineering Data Infrastructure Data Transformation
+12 more
Data Warehousing Data Flow Control SAP (Applications) SAP Project System Systems Integration Enterprise Data Management Google Cloud Enterprise Software Applications Amazon Virtual Private Cloud (VPC) Collibra SAP S/4HANA Terraform

Job description

  • Several years of experience as a Data Platform Engineering Manager, Lead Data Platform Engineer, or in a comparable leadership role, with end-to-end responsibility for the development, operation and continuous evolution of modern enterprise data platforms., * Own the development, operation, and continuous evolution of our new GCP-based Enterprise Data Platform, ensuring it is operated reliably, securely, and at scale.
  • Provide both disciplinary and functional leadership for the Data Platform Engineering team in Bucharest and Ulm, continuously developing team members while fostering a culture of technological excellence, ownership, and collaboration.
  • Partner with the Data Architect to implement the technical and architectural direction of the platform and ensure its successful execution within the engineering team.
  • Lead the implementation of scalable integration solutions for SAP, e-commerce, and enterprise systems, ensuring the reliable delivery of high-quality data products.
  • Establish efficient engineering processes, delivery standards, CI/CD practices, and operating and support models, ensuring high quality and execution speed across the platform landscape.
  • Support the Head of Data & AI in strategic prioritization, resource planning, and the evolution of the platform organization, translating platform strategy into actionable delivery roadmaps.
  • Together with colleagues from the business departments, you ensure that our data products solve real business problems.
  • You drive cultural change - from traditional DWH structures to agile, domain-oriented data product teams built on a strong, centrally provided platform.

Requirements

  • Deep technical expertise in the Google Cloud Data Stack (BigQuery, Dataflow, Managed Airflow, Dataplex, Pub/Sub, Cloud DLP) or comparable solid experience with modern data platforms on AWS/Azure.
  • Proven track record in designing and operating scalable Lakehouse architectures with consistent use of Infrastructure-as-Code (Terraform), modern data transformation frameworks (e.g., dbt Core), and CI/CD practices.
  • Solid knowledge of integrating hybrid data landscapes and diverse source systems, including SAP systems (S/4HANA, CDC, ODP/CDS) as well as high-volume streaming workloads.
  • Experience in implementing Data-as-a-Product and self-service concepts using modern governance solutions (e.g., Collibra), as well as implementing robust security and compliance standards (e.g., VPC Service Controls, Policy Tags, GoBD).
  • Proven experience leading complex platform initiatives and balancing productivity, operational stability, scalability and cost efficiency in a large-scale platform environment.
  • Experience in the functional and disciplinary leadership of Data Engineering teams, including coaching, mentoring and developing Data Engineers across all levels of experience. Demonstrated ability to build an environment with clear quality standards, continuous improvement and a strong engineering culture.
  • Excellent stakeholder communication across engineering, security, business, and external partners - confidently moving between C-level presentations and code reviews with developers on the same day.
  • Business-fluent English and very good German or Romanian language skills.

Benefits & conditions

  • A greenfield opportunity to shape a new GCP Data & Analytics Platform from day one for one of Europe’s largest family-owned retailers.
  • High visibility, short decision-making paths, and a direct impact on the data and technology landscape of the entire organization.
  • The opportunity to lead an international Data Platform Engineering team both disciplinarily and functionally, actively shaping its growth, development and long-term success.
  • Modern technologies, challenging architectural topics and an environment where technological excellence is explicitly encouraged.
  • Flexible working model (desk sharing and mobile working).
  • Employee discount on products Müller sells.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on karriere.mueller.de
Prepare application

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