Senior Data Engineer (m/f/d)

  • BayWa r.e.
  • Location independent
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BayWa r.e. is the home for change makers. We r.e.think energy – how it is produced, stored and can be best used to enable the global renewable energy transition that is essential to the future of our planet.  At BayWa r.e. we effect change globally. With locations in 30 countries, we have over 4,500 people already working across the world, collaborating with local businesses to proactively shape the future of the energy sector.
 
Ampero GmbH is the software company of BayWa r.e.. As a 100% subsidiary of BayWa r.e. with our own brand, culture and processes we combine the best of both world - Software & Start-Up culture and agility with the unfair advantages the strength and network of BayWa r.e. AG provides us.

We build portfolio management software for renewable energy investors. Powered by our market-leading data analytics core, we provide a set of instruments and AI applications for business executives and users. With those we disrupted what had previously been a manual, time-consuming and expensive consulting-driven approach to jump-start managing renewable assets along and optimizing their performance and output.

We at Ampero GmbH build software that maximizes the impact of renewable energy investments for a carbon neutral world. We do this not only by developing the best data analytics software and AI algorithms, but also by being a great long-term solution partner with a focus on continuous innovation. As a global innovation leader, we are committed to long-term partnerships and actively shaping the future of energy.

About the role

As a Senior Data Engineer (m/f/d), you will play a crucial role in designing, building, and maintaining our data infrastructure and analytics pipelines - from our offices in Munich or Berlin, or within Germany. You will collaborate closely with cross-functional teams, including data science, AI engineering, and software engineering, to ensure the availability, scalability, and reliability of our data systems. The ideal candidate should possess strong technical expertise, excellent problem-solving skills, and a deep understanding of data engineering best practices.

What You Will Do

  • You will play a crucial role in designing, building, and maintaining scalable data pipelines, ETL processes, and integration workflows
  • You will collaborate closely with cross-functional teams, including data science, AI engineering, and software engineering, to understand data requirements and implement effective data models
  • You will optimize data processing workflows for performance and reliability
  • You will ensure data quality and integrity through validation and cleansing techniques
  • You will monitor and troubleshoot data pipelines to minimize downtime
  • You will implement data governance and security measures

Your Profile

  • Strong foundation in computer science, engineering, or related disciplines
  • Track record of designing and implementing data pipelines and complex data models
  • Proficiency in Python, SQL and experience with SQL and NoSQL databases
  • Strong expertise in data modeling, warehousing, and ETL development
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) or other relevant data services
  • Knowledge of data visualization tools (e.g., Tableau, Power BI) and data science concepts is a plus
  • Excellent problem-solving skills and ability to work in a fast-paced environment
  • Strong communication and interpersonal skills
  • Professional proficiency of written and spoken English


 

What We Offer You

  • Mobile working
  • Innovative and fast-changing market and working environment
  • Low hierarchies and committed, multi-national, cross-functional team
  • Employee shares program
  • Discounted gym membership options / Gympass
  • Access to "Corporate Benefits" portal
  • JobRad (bicycle leasing) 
  • Attractive offices in Berlin and Munich

 

Contact

We look forward to your application! 

Diversity and Equal Opportunity
At BayWa r.e. we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates.
All employment is decided based on qualifications, potential, merit, and business need.
We do not discriminate on the basis of origin, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, pregnancy, veteran status or any other basis covered by appropriate law.

If you have any questions about the job offer, please get in contact with us.
  • Zuliyana Palwankar
  • HR Manager
  • +49 893839327313
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