Senior Data Engineer building and operating data platforms at bsport for analytics and AI/ML. Collaborating with Data team to enrich data layers and maintain platform observability.
About the role
- Data Architect in a dynamic energy company, shaping data architecture and integrating solutions. Collaborating with teams to enhance decision-making and ensuring compliance with architectural standards.
Responsibilities
- Strategically design the data and system architecture in alignment with corporate objectives
- Design and further develop data models to support strategic decision-making
- Conceptualize and implement data integration solutions for seamless data processing
- Advise and support internal teams on architectural questions
- Evaluate and introduce new technologies in the data domain
- Ensure compliance with architecture guidelines and standards
Requirements
- Degree in Computer Science, Business Informatics, Data Science, or a comparable qualification
- Several years of professional experience in data or system architecture, ideally in complex IT landscapes
- Solid knowledge of data modeling and evaluation of system architectures
- Technologies in Analytics & BI: Python (including Pandas, NumPy, Scikit-learn, etc.)
- Power BI
- Databricks
- Grafana
- Databases & platforms: Oracle, PostgreSQL, Azure Cloud, Hadoop
- Certifications such as TOGAF or Certified Data Management Professional are an advantage
- Strong conceptual and systems-thinking skills
- High degree of independence and strong communication skills when dealing with different stakeholders
- Excellent written and spoken German and English
- Basic understanding of SAP as a data source — no prior SAP experience required
Benefits
- Exciting and varied tasks in a future-oriented environment
- A collegial working atmosphere with flat hierarchies
- Flexible working hours without core working hours
- Mobile working within a modern home office policy
- Diverse training opportunities and personal development prospects
- Secure job in a growing company in the energy sector
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal HR Data Engineer specializing in Microsoft Azure and Databricks Lakehouse platforms. Responsible for designing, implementing, and maintaining scalable data pipelines and architectures for analytics.
Manager, Business Solutions Data overseeing data processing lifecycle and team development at Ryan. Partnering with clients and teams to drive data solutions and operational excellence.
Data Engineer creating data pipelines at Data Wow, working closely with Data Scientists and Analysts to deliver data products.
Senior Data Engineer at Trainline responsible for data pipelines and insightful analytics. Collaborate cross - functionally to enable impactful data - driven decisions.
Data Engineer responsible for creating pipelines and models to support analytics at Trainline. Collaborating with BI Developers and Data Scientists to drive business insights through data.
Distinguished Engineer driving design and architecture of mission - critical Data Platforms at Capital One. Leading technical strategies to enhance data discovery and governance for enterprise - wide AI readiness.
Principal Software Engineer at Clari + Salesloft developing enterprise - grade AI - driven applications for revenue intelligence with a dynamic team in India.
Data Engineer responsible for ingestion pipelines and data quality on AI - driven marketing platform. Collaborating with data teams to ensure accuracy and performance of data systems.
Data Architect designing and governing data foundations for analytics and AI applications at Clio. Collaborating cross - functionally to develop high - quality data models and standards.