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Senior Data Engineer (E-Mobility & Charging) (f/m/d)
Résumé du poste
A technology company focused on e-mobility is seeking a Data Engineer to design and build scalable data pipelines. Responsibilities include ensuring data integrity, optimizing datasets, and managing integrations with various tools. Candidates should have strong SQL and Python skills with 5-7 years of experience. The company offers a supportive work environment and seeks passionate individuals committed to shaping the future of e-mobility.
Prestations
Qualifications
- 5–7 years of experience as a Data Engineer in large-scale businesses.
- Strong SQL skills and experience with transformation frameworks.
- Proficiency in Python for data engineering tasks.
Responsabilités
- Develop and maintain ETL/ELT pipelines.
- Model and optimize large-scale datasets for analytics.
- Collaborate with analysts to ensure data quality.
Connaissances
Outils
As a Data Engineer, you will be working with our Data Team based in Berlin and will design and build scalable data pipelines and architectures that power critical billing, settlement, and customer analytics in the EV charging ecosystem. You willbe responsible for ensuring data integrity, performance, and accessibility across Snowflake, PostgreSQL, and BI environments.
Develop and maintain robust ETL/ELT pipelines moving data from transactional systems into Snowflake and PostgreSQL.
Model and optimize large-scale datasets (billing, invoicing, charging sessions, promotions) for analytics and reporting.
Collaborate with analysts and data scientists to ensure clean, structured, and well-documented data models.
Manage integrations between Snowflake, Power BI, SAP, blob storages and other analytics tools to support business needs.
Advocate for data quality and scalability across the data architecture.
Monitor, troubleshoot, and optimize data infrastructure performance.
5–7 years of experience as a Data Engineer, ideally in large-scale transactional or subscription-based businesses.
Strong SQL skills (PostgreSQL, Snowflake) and experience with dbt or similar transformation frameworks.
Proficiency in Python for data engineering and automation tasks.
Solid understanding of data modeling (star schema, big flat tables) and BI integration (Power BI, Tableau).
Familiarity with APIs, cloud-based data warehouses, and version control (Git).
Strong communication and documentation skills; ability to work with cross-functional teams.
- 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 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.
Are you excited about shaping the future of e-mobility services?
Then send us your application (CV, earliest starting date, salary expectations and optional motivational statement).
Don’t worry if you don’t think you meet all requirements for this position. First and foremost, we value like-minded, passionate people who want to make an impact in shaping the future of e-mobility. We encourage you to apply and convince us why you would be a good fit in a cover letter.
We are looking forward to hearing from you!
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.