Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design and optimize ETL/ELT pipelines, maintain data architecture, and ensure consistent business metrics for analytics. You collaborate closely with teams to translate business needs into robust data solutions.
Job Technologies
Your role in the team
- Designing, developing, optimizing, and maintaining the data architecture and ELT/ETL pipelines that support our business goals across charging sessions, billing, invoicing, and promotions.
- Build and maintain large-scale batch and streaming pipelines, data warehouse models, and transformation layers that are reliable, performant, and well documented.
- Own the semantic layer that turns physical tables into governed business metrics, so that every team consumes one consistent definition of revenue, margin, usage, and active customers.
- Prepare and structure data so it is AI ready, enabling natural-language analytics, retrieval, and AI-assisted experiences on top of a trusted foundation.
- Become a master of the business domain, not only the data. Understand how charging, billing, settlement, invoicing, and OEM and fleet economics actually work, and let that knowledge drive how you model and expose the data.
- Manage integrations between Snowflake, Power BI, SAP, APIs, and other analytics tools so the platform serves both reporting and operational needs.
- Partner directly with analysts, data scientists, finance, and product to understand requirements, translate them into robust data solutions, and communicate the trade-offs back to stakeholders.
- Monitor, troubleshoot, and continuously optimize infrastructure performance and cost.
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Our expectations of you
Qualifications
- Strong Python skills for data engineering, automation, and pipeline orchestration.
- Solid understanding of data modeling (star schema, large flat tables) and how models feed BI and semantic layers.
- Vertrautheit mit Cloud-Datenlagern, APIs, Orchestrierung (zum Beispiel Airflow) und Versionskontrolle (Git).
- Comfortable applying software engineering practices: CI/CD, automated testing, code reviews, and monitoring.
- A genuine appetite to learn the business deeply and become a go-to reference on how the domain works, alongside your engineering craft.
- Strong communication and documentation skills, with the ability to work across technical and non-technical teams.
- Exposure to streaming technologies (Kafka, Azure Service Bus, Spark) and Azure cloud services.
- Infrastructure as code (Terraform, CloudFormation).
Experience
- 5+ years of experience as a Data Engineer, ideally in large-scale transactional or subscription-based businesses (mobility, energy, fintech, or e-commerce a plus).
- Strong SQL (Snowflake, PostgreSQL) and hands-on experience with dbt or a similar transformation framework.
- Experience building or maintaining a semantic / metrics layer, and a genuine interest in making business data consumable by AI experiences.
- Nice to have experience with AI and LLM tooling, RAG patterns, or vector stores applied to enterprise data.
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What we offer
- A unique opportunity combining the energy of a scale-up with the power of BMW, Mercedes Benz Mobility & bp.
- Working on products & services with a high social impact.
- An international team of talented people who love what they do and live a collaborative spirit.
- An open-minded culture with room for growth and the freedom to bring in own ideas.
- Subsidized gym membership.
- Subsidized office lunch benefit.
- Personal development budget for your professional growth.
- Monthly mobility budget.
- Up to 2 days of home office per week.
- Offsite/ team events & much more, and modern, sunny offices in Berlin & Munich.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
More net
Topics that you deal with on the job
Job Locations
This is your employer
Engel & Völkers IT und Media GmbH
Engel & Völkers has established itself as a competent service company specializing in the sale and rental of high-quality residential and commercial properties in Germany's most dynamic real estate market over the past 20 years. Our commitment to being advisors on equal footing, combined with our expertise and exclusive network, have made us the leading player in the Berlin market for residential and commercial properties.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication, Construction, Real Estate, Building Services
Senior Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
