Senior Business Intelligence, Data Engineer

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inexogy smart metering

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Inexogy Smart Metering is an innovative leader in the energy sector, focused on creating a transparent and comprehensible energy consumption experience for households and businesses. The company specializes in smart metering technology, harnessing big data solutions to facilitate the integration of numerous energy producers into the power grid securely. Inexogy’s core competence lies in real-time communicative measuring technology, allowing for the development of solutions that support the transition to a climate-neutral energy world. With over 75,000 smart meters installed, the company enables features such as visualization of energy flows via web portals and apps, and it supports resource-efficient solutions like tenant electricity and dynamic green electricity tariffs.

📋 Description

• Build the future BI and reporting landscape and actively shape the target state, architecture, technologies and tools. • Design a scalable data architecture and central data foundation, taking into account potential integration into the group parent’s data warehouse. • Build and enhance data models and automated ETL/ELT processes to integrate and prepare various data sources. • Develop modern reporting and BI solutions for management, controlling and business units using Power BI or alternative technologies. • Establish in-house BI capabilities and structures, and coordinate and potentially take over development work delivered by external partners. • Translate business requirements from controlling, finance and other departments into sustainable technical solutions and collaborate with IT and management. • Prospectively build and provide technical leadership for the BI team, including task prioritization, standards development and professional development of BI staff.

🎯 Requirements

• Degree in Business Informatics, Computer Science, Data Science, Industrial Engineering or a comparable qualification. • Several years of professional experience in Business Intelligence, Data Engineering, Data Analytics or a comparable role. • Very good knowledge of SQL and relational databases, as well as experience with data modeling, data warehouse concepts and ETL/ELT processes. • Experience with modern BI and reporting tools, ideally Power BI and DAX; knowledge of the Microsoft Azure environment is an advantage. • Strong analytical and conceptual thinking skills and the ability to design technical solutions holistically, in a scalable way and with future integrations in mind. • A strong communicator with presence and assertiveness, high personal responsibility, pronounced business understanding and enthusiasm for taking on functional responsibility, advocating your positions and mentoring other BI colleagues.

🏖️ Benefits

• 100% remote possible — you decide whether you work from the office or from home. • A dynamic environment with plenty of scope to shape things and short decision-making paths. • Modern work equipment and an open company culture. • Regular team events — get to know your colleagues socially as well. • Additional leave for births and your own wedding. • Company pension scheme — we support you! • Sustainable travel — option to purchase a Deutschlandticket (national public transport pass). • Employee discounts with partner companies.