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Business Intelligence Engineer (m/w/d)

technotrans SE

Sendenhorst · flexible Full-time Mid Level 3mo ago

About the role

About Us

Our Data Analytics department supports all business areas with data-based decision-making foundations and forms the basis for our business intelligence landscape. It includes reporting, data governance, data engineering, and analysis, among other things. With your expertise as a Business Intelligence Engineer (m/f/d), you will model consistent data structures and actively work on the further development of our data warehouse, so that our business units can access high-quality and performant data. You will take responsibility, work closely with colleagues – and actively shape the technotrans data world!

Ready for growth. Ready for the future. Welcome to technotrans.

technotrans stands for technology that moves – and for people who want to move things. With our strategy "Ready for Growth 2030", we look to the future: We actively shape the future by focusing on the major trends of our time – from artificial intelligence and digitalization to sustainability and medical progress.

As a specialist in thermal management, we develop solutions that are used worldwide in innovative and sustainable applications. It's not just what we do that counts, but how we do it: as a team, with responsibility, and with the courage to break new ground. That's why we are looking for personalities who think along, help shape, and want to grow with us.

With over 1,500 employees at 17 locations worldwide, technotrans offers an environment that promotes development, lives diversity, and gives ideas space.

Join the power – join the team. Shape the technologies of tomorrow with us.

Responsibilities

  • ETL Development: Build, maintain, and optimize stable ETL processes to ensure reliable and performant data flows.
  • Data Modeling: Design and implement consistent, scalable data models as a basis for reporting, analytics, and operational systems.
  • Programming: Implement technical requirements using ABAP, SQL, and other scripting languages to develop automated data processes.
  • SAP BW: Further develop, maintain, and administer our SAP Business Warehouse, including monitoring and error analysis.
  • SAP Datasphere: Contribute to the migration from SAP BW to SAP Datasphere and implement new data architectures within these transformation projects.
  • System Administration: Operate, monitor, and further develop our data and BI systems, ensuring stability, performance, and security.
  • Project Work: Technically implement data projects in close collaboration with business departments – from understanding requirements to productive implementation.

Profile

  • Professional Qualification: Completed degree in Data Science, Business Intelligence, Statistics, Business Informatics, Computer Science, Economics, or a comparable field – supplemented by professional experience in a comparable role.
  • ETL Know-how: Experience in building, maintaining, and optimizing ETL processes, as well as an understanding of performant data flows.
  • Programming Skills: Good skills in ABAP, SQL, and ideally other scripting languages.
  • SAP Expertise: Practical experience with SAP BW and motivation or initial experience with SAP Business Objects (BO / Web Intelligence - "Webi"), SAP Datasphere, and ideally SAP Analytics Cloud (SAC).
  • Project & Communication Skills: Project management experience and good communication skills in German (B2/C1) and English (B1/B2).
  • Tech Mindset: High affinity for data, strong analytical thinking, understanding of business processes, and interest in IT trends, tools, and AI technologies.
  • Team Spirit & Work Approach: Proactive, analytical, and solution-oriented work approach combined with teamwork, structure, and a sense of responsibility.

We Offer

  • Attractive Package: Unlimited employment contract | 38-hour week with flexible working hours | Home office option | 30 days of vacation | Performance-based remuneration model | Special payments | Profit sharing | One-time payment | €600 purchasing card p.a.
  • Professional & Personal Development: Individual onboarding | Training | Exciting tasks and projects | Scope for initiative
  • Growing Together: Strong team | Family-like environment | Appreciative corporate culture | Flat hierarchies | Short decision-making paths
  • Further Benefits: Company pension plan | Diverse health offerings | €300 health budget p.a. | Dental care | Bicycle leasing for up to two bikes | regular team events | employee discounts through Corporate Benefits | company canteen with subsidized meals

Skills

ABAPAnalytics CloudBWBusiness ObjectsData GovernanceData WarehousingDatasphereETLKISAPSQLWeb Intelligence

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