Job
- Level
- Lead
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
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
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 💻Company Notebook for Private Use
- 👴🏻Company Retirement Provision
Food & Drink
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
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
3.8Engineering
3.1Workingconditions
4.0Culture
4.1
Senior Data Engineer / Lead Engineer Data Platforms
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
