Senior Data Engineer (F/D/M)

Digital Charging Solutions; Berlin; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Subsidized office lunch benefit

Monthly mobility budget

Up to 2 days of home office in a week

Offsite / team events

Zusammenfassung

Digital Charging Solutions, Berlin, is seeking a Data Engineer to design, build, and optimize data architecture and ELT/ETL pipelines supporting charging sessions, billing, invoicing, and promotions.

You will craft scalable batch and streaming pipelines, data warehouse models, and governance for revenue, margin, and usage metrics, enabling AI-ready analytics and cross-team insights.

Qualifikationen

• 5+ years as a Data Engineer in large-scale transactional or subscription businesses.
• Strong SQL and Python skills with data modeling experience.
• Hands-on with dbt or similar transformation frameworks.
• Experience building batch and streaming pipelines and semantic layers.
• Familiarity with Snowflake, PostgreSQL, Airflow, and BI tools.

Aufgaben

• Design, develop, optimize, and maintain data architecture and ELT/ETL pipelines.
• Build large-scale batch/streaming pipelines and data warehouse models.
• Own the semantic layer for governed business metrics across revenue, margin, and usage.
• Prepare data for AI-ready analytics and AI-enabled experiences.
• Understand domain economics in charging, billing, invoicing, and OEM/fleet models.
• Manage integrations between Snowflake, Power BI, SAP, APIs, and analytics tools.
• Collaborate with analysts, data scientists, finance, and product to translate requirements.
• Monitor, troubleshoot, and optimize infrastructure performance and cost.

Kenntnisse

Data modeling

SQL

Python

dbt

ETL/ELT

Data pipelines

Airflow

Documentation

Stakeholder comms

BI knowledge

Tools

Snowflake

PostgreSQL

dbt

Airflow

Azure

Git

Terraform

CloudFormation

Kafka

Power BI

APIs

Jobbeschreibung

Responsibilities

• 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.

Your Profile

• 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.
• 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, and a genuine interest in making business data consumable by AI experiences.
• Familiarity with cloud data warehouses, APIs, orchestration (for example 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 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).
• Nice to have experience with AI and LLM tooling, RAG patterns, or vector stores applied to enterprise data.

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 office lunch benefit.
• Monthly mobility budget.
• Up to 2 days of home office in a week.
• Offsite / team events & much more and modern, sunny offices in Berlin & Munich.

… and of course the classics: delicious coffee & tea, fresh fruits and an office dog friendly environment.

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.