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About the Role

We are seeking a Data Engineer to design, develop, and optimize data architecture and ELT/ETL pipelines. You will build and maintain large-scale data solutions, own the semantic layer for consistent business metrics, and prepare data for AI-driven analytics. This role requires a deep understanding of the business domain and collaboration with various teams to deliver robust data solutions.

Responsibilities

• Designing, developing, optimizing, and maintaining data architecture and ELT/ETL pipelines.
• Building and maintaining large-scale batch and streaming pipelines, data warehouse models, and transformation layers.
• Owning the semantic layer to create governed business metrics.
• Preparing and structuring data to be AI-ready for natural-language analytics and AI-assisted experiences.
• Understanding the business domain (charging, billing, settlement, invoicing, economics) to drive data modeling.
• Managing integrations between Snowflake, Power BI, SAP, APIs, and other analytics tools.
• Partnering with analysts, data scientists, finance, and product teams to understand requirements and deliver solutions.
• Monitoring, troubleshooting, and optimizing infrastructure performance and cost.

Requirements

• 5+ years of experience as a Data Engineer, ideally in large-scale transactional or subscription-based businesses.
• Strong SQL (Snowflake, PostgreSQL) and hands-on experience with dbt or a similar transformation framework.
• 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.
• Experience building or maintaining a semantic / metrics layer.
• Familiarity with cloud data warehouses, APIs, orchestration (e.g., Airflow), and version control (Git).
• Comfortable applying software engineering practices: CI/CD, automated testing, code reviews, and monitoring.
• A genuine appetite to learn the business deeply.
• Strong communication and documentation skills.
• Exposure to streaming technologies (Kafka, Azure Service Bus, Spark) and Azure cloud services.
• Infrastructure as code (Terraform, CloudFormation).
• Nice to have experience with AI and LLM tooling, RAG patterns, or vector stores applied to enterprise data.

Skills

• Data Architecture
• ELT/ETL Pipeline Development
• Data Warehousing
• Data Modeling
• Semantic Layer Development
• AI-Ready Data Preparation
• Snowflake
• Power BI
• SAP
• APIs
• SQL
• dbt
• Python
• Cloud Data Warehousing
• Orchestration (Airflow)
• Version Control (Git)
• CI/CD
• Automated Testing
• Code Reviews
• Monitoring
• Streaming Technologies (Kafka, Azure Service Bus, Spark)
• Azure Cloud Services
• Infrastructure as Code (Terraform, CloudFormation)
• AI/LLM Tooling
• RAG Patterns
• Vector Stores

Location

• Berlin
• Munich

Work Type

• Hybrid
• Home Office (up to 2 days/week)

Experience Level

• 5+ years of experience as a Data Engineer

Benefits

• Subsidized gym membership
• Subsidized office lunch benefit
• Personal development budget
• Monthly mobility budget
• Delicious coffee & tea
• Fresh fruits
• Office dog friendly environment

About the Company

• At DCS, we develop public charging solutions for electric vehicles, providing access to multiple networks of Charge Point Operators (CPO).
• We are a key player in the transition to electromobility.
• Since the beginning of 2019, we are part of the mobility joint venture between BMW Group and Mercedes Benz Mobility.
• In 2021, bp joined as the third shareholder.
• CHARGE NOW is one of our services.
• We offer a unique opportunity combining the energy of a scale up with the power of BMW, Mercedes Benz Mobility & bp.
• We work on products & services with a high social impact.
• We have an international team of talented people who love what they do and live a collaborative spirit.
• We foster an open-minded culture with room for growth and the freedom to bring in own ideas.

Equal Opportunity

• At DCS we acknowledge the value of diversity, promote equality and challenge unfair discrimination.
• We strive to create an inclusive work environment, safe for anyone regardless of their gender identity, sexual orientation, abilities, ethnicity or race.
• We have the clear goal of driving diversity and inclusion across all dimensions and treat each applicant with the same respect and consideration.