Senior Data Engineer - Data Hub Sales

A11
Düsseldorf, Germany
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Languages
English, German
Job source

Tech stack

Data Analysis Microsoft Azure Data Hub Data Warehousing Data Intelligence Python (Programming Language) SQL Databases Data Processing Cloud Platform System Information Technology Data Analytics Data Lakehouse
+2 more
Terraform Data Pipelines

Job description

  • Independently develop data products for Sales, Marketing, and Customer Service in close collaboration with the central Data Intelligence & Analytics team, following an agile approach
  • Design and implement relational and dimensional data models in a cloud-based Azure environment, taking full ownership of architectural decisions
  • Build, operate, and continuously optimize data pipelines to address business-critical challenges in performance, quality, and cost
  • Take ownership of the end-to-end development of a modern data lakehouse architecture, including infrastructure as code using Terraform
  • Champion data quality and actively promote data literacy across Sales, Marketing, and Customer Service
  • Support and advise stakeholders on the adoption of the new Azure-based Data & Analytics framework, enabling further growth
  • Lead or co-lead cross-functional projects as a Sales Data Hub representative, driving engineering standards and knowledge sharing across the team

Requirements

Do you have experience in Terraform?, * Degree in Computer Science, Business Administration, or a comparable qualification

  • 6+ years of professional experience as a Data Engineer or BI Engineer, with a strong focus on developing and scaling cloud-based data platforms
  • Deep expertise in Python and SQL, applied confidently for complex data processing and modeling
  • Extensive hands-on experience designing, building, and operating modern data lakehouse architectures
  • Proficiency in infrastructure as code, particularly Terraform, with a strong sense of ownership for stable, scalable data infrastructures
  • Excellent analytical skills with the ability to manage technical projects independently while staying closely aligned with business stakeholders
  • Strong communicator in both German and English, able to translate complex technical concepts for non-technical audiences
  • High level of autonomy, end-to-end ownership mindset, and a proactive approach to knowledge sharing

Benefits & conditions

  • Market-aligned compensation with a function-dependent bonus scheme and an attractive corporate pension plan (30% employer-financed)
  • Hybrid working: up to 40% remote from anywhere in Germany, plus up to 20 workation days per year across Europe
  • State-of-the-art workplaces, natural retreats, parent-child offices, and underground parking with e-car and e-bike charging
  • Fuel and EV charging discounts for up to 2 private vehicles, plus a leasing subsidy for two JobBikes and a subsidized job ticket
  • 30 vacation days plus special leave days
  • Employee counselling, family services, health checks, and regular health days and events
  • High-potential development programs, LinkedIn Learning, and career growth opportunities across all paths
  • Community events, including summer parties and Corporate Volunteering days

If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you!

About the company

We’re looking for an experienced Senior Data Engineer (m/f/d) to join and drive the data engineering strategy within the Sales Data Hub at a Leading European Mobility Company, DKV Mobility

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