Data Engineer

About The Company
EPEX SPOT SE is a leading European power exchange operating physical short-term electricity markets across Central Western Europe, the United Kingdom, Switzerland, the Nordics, and Poland. The company is committed to fostering the integration of renewable energy sources and promoting consumer and producer engagement through innovative market solutions such as local flexibility markets and Guarantees of Origin auctions. Dedicated to supporting decarbonization, decentralization, and digitalization, EPEX SPOT plays a vital role in shaping the future of the European power market. The organization values diversity, innovation, and continuous improvement, creating an inclusive environment that encourages professional growth and collaboration. With a focus on sustainability and the energy transition, EPEX SPOT offers a dynamic workplace where talented individuals can thrive and make a meaningful impact on the global energy landscape.

About The Role
We are seeking a highly skilled Lead Data Engineer to join our team and lead the development of EPEX SPOT's cloud-native Data Platform on Google Cloud Platform (GCP). In this strategic role, you will combine technical expertise with leadership capabilities to design, build, and enhance scalable, reliable, and AI-ready data solutions that support our business operations, analytics, and innovation initiatives. You will act as a technical leader within the Data Platform team, mentoring and coaching Data Engineers, driving engineering best practices, and facilitating the adoption of advanced data platform capabilities such as BigQuery, Dataform, Dataplex, Dataflow, BigLake, and Vertex AI. Collaborating closely with cross-functional teams including Product Owners, Data Analysts, Data Scientists, Security, and Architecture teams, you will ensure the platform's reliability, security, and scalability. Your efforts will directly contribute to EPEX SPOT’s strategic goals of leveraging data and AI to accelerate energy transition efforts, optimize operations, and foster innovation across the organization. Qualifications
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related field
• Minimum of 7 years of professional experience in Data Engineering, Software Engineering, or related disciplines
• Proven experience in building and operating cloud-native data platforms, preferably on Google Cloud Platform
• Strong hands-on expertise with GCP data services including BigQuery, Dataform, Dataflow, Dataplex, BigLake, and Vertex AI
• Experience with data lake and lakehouse architectures, external tables, and data governance frameworks
• Proficiency in programming languages such as Python and SQL
• Experience with Infrastructure as Code tools, preferably Terraform
• Solid understanding of ELT/ETL architecture, API-based data integration, and real-time streaming solutions
• Knowledge of data quality, metadata management, and data lineage practices
• Familiarity with AI-assisted engineering tools within GCP, including Gemini in BigQuery and Gemini Code Assist
• Ability to lead and mentor technical teams, promote engineering best practices, and foster a culture of continuous improvement
• Proven experience working in Agile environments and collaborating across multiple teams
• Certifications such as Google Professional Data Engineer, Cloud Architect, or Machine Learning Engineer are preferred Responsibilities
• Design, develop, and deploy scalable enterprise data pipelines and data products to support analytics, AI, and business operations
• Build robust batch and streaming data processing solutions ensuring platform performance, security, and cost efficiency
• Support architecture decisions and execute the technical roadmap for the data platform
• Act as a technical escalation point for complex engineering challenges, providing innovative solutions
• Coach and mentor Data Engineers, fostering technical growth and adherence to engineering standards
• Conduct code and design reviews, promoting best practices and knowledge sharing within the team
• Implement data governance capabilities using Google Dataplex, ensuring compliance with security and privacy regulations
• Support metadata management, data lineage, cataloging, and data quality initiatives to deliver trusted data assets
• Enable self-service analytics by developing reusable, governed data products for end-users
• Collaborate effectively within Agile teams, promoting DevOps and DataOps practices to ensure platform reliability and continuous delivery
• Contribute to AI and Machine Learning initiatives by building data foundations and supporting integration with Vertex AI and related services Benefits
• Flexible hybrid working arrangements, including options for remote work to promote work-life balance
• Dedicated annual training budget for continuous professional development and upskilling
• Clear career progression pathways within EPEX SPOT and the broader EEX Group
• Opportunities for internal mobility across different roles and teams
• Participation in leadership development programs and recognition initiatives
• Inclusive workplace culture that values diversity and promotes gender equality
• Modern remote and hybrid work setup supporting flexible working conditions
• Access to a vibrant, international team dedicated to innovation and sustainability in energy markets Equal Opportunity EPEX SPOT is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all employees and applicants regardless of gender, age, ethnicity, disability, sexual orientation, or background. We believe that diversity enhances our innovation and effectiveness, and we actively promote a culture of respect, fairness, and equal opportunity for everyone. Our commitment extends to ensuring a supportive environment where all individuals can develop their skills and achieve their full potential.