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Senior Data Engineer / Lead Engineer Data Platforms

Job

  • Level
    Lead
  • Location
    Berlin
  • Working Model
    Onsite
  • Job Field
    Data, Back End
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment

Job Summary

In this role, you will continuously develop the Data Platform on Azure, design scalable data pipelines and lakehouse architectures while defining technical standards and governance processes.

Job Technologies

Your role in the team

  • Platform Development: You continuously develop our Data Platform based on Azure, Azure Databricks, and Microsoft Fabric.
  • Data Engineering: You design, implement, and operate scalable data pipelines, lakehouse architectures, and data products.
  • Technical Coordination: You manage the technical workstreams of the platform implementation and oversee architecture, governance, security, operations, and automation.
  • Standards & Target Architectures: You define technical standards, best practices, and target architectures for Data Engineering, Platform Engineering, and Analytics.
  • Platform components: You are responsible for the technical design of core components such as Data Lakehouse, Databricks Workspaces, Unity Catalog, as well as CI/CD and deployment processes.
  • Architecture Consulting: You support project and development teams as a technical sparring partner and bring architecture and design decisions across teams together.
  • Governance & Operations: You establish monitoring, governance, and operational processes and ensure the sustainable use of the platform.
  • Innovation: You support the implementation of new technologies and continuously identify optimization potentials for platform, processes, and operational models.

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Our expectations of you

Education

  • Education: You have successfully completed a degree in (Business) Informatics, Data Science, Information Technology, or a comparable field of study.

Qualifications

  • Technical Management: You have assumed technical responsibility in complex transformation or platform projects and coordinate multiple work streams confidently and goal-oriented.
  • Data & Analytics Technologies: You have solid experience with Azure Databricks, Microsoft Fabric, or comparable platforms.
  • Understanding of architecture: You understand the interrelationships between architecture, security, identity & access management, network, governance, compliance, DevOps, and operations.
  • Modern data architectures: You are familiar with Data Lake, Lakehouse, and Data Product architectures and have supported their implementation and scaling in an enterprise environment.
  • Operational orientation: You think beyond technical solutions and consider topics such as monitoring, support, governance, cost management, and platform operation.

Experience

  • Data Platform Expertise: You have several years of experience in building and operating data & analytics platforms in enterprise and cloud environments, ideally based on Microsoft Azure.
  • Automation & DevOps: You have experience with Infrastructure-as-Code, CI/CD, Terraform, Git, and modern platform and automation concepts.

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Benefits

Work-Life-Integration

Higher Take-Home Pay

Food & Drink

Health, Fitness & Fun

Topics You Will Work On

Job Locations

  • Location Berlin

    Germany

About Your Employer

KPMG AG Wirtschaftsprüfungsgesellschaft

KPMG AG Wirtschaftsprüfungsgesellschaft

KPMG is one of the leading auditing and consulting companies with over 11,700 employees at more than 20 German locations. We are active at an important interface between the economy, the public and society and are committed to our customers every day

Description

  • Company Size
    250+ Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Banking, Finance, Insurance

Employer reviews

by devworkplaces.com

Total

(2 Reviews)
3.7
  • Career Growth

    3.8
  • Engineering

    3.1
  • Workingconditions

    4.0
  • Culture

    4.1
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Logo KPMG AG Wirtschaftsprüfungsgesellschaft

Senior Data Engineer / Lead Engineer Data Platforms

Location
Berlin
Working Model
Onsite
Diversity
Open for all genders

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