Data engineer in electricity markets

Описание:

As a Lead Data Engineer, you will play a pivotal role in designing, developing, and evolving EPEX SPOT's cloud-native Data Platform on Google Cloud Platform (GCP). You will combine hands‑on engineering expertise with technical leadership, helping deliver trusted, scalable, and AI‑ready data products that support business operations, analytics, and innovation initiatives.

Задачи:

Designing and implementing scalable data pipelines and data products Building robust batch and streaming data processing solutions Ensuring platform reliability, performance, security, and cost efficiency Supporting architecture decisions and technical roadmap execution Acting as the technical escalation point for complex engineering challenges Coaching and mentoring Data Engineers in technical and professional growth Conducting code reviews and design reviews Encouraging knowledge sharing and continuous learning Supporting onboarding and development of new team members Driving adoption of engineering standards and best practices Implementing governance capabilities using Google Dataplex Supporting metadata management, lineage, cataloguing, and data quality initiatives Ensuring compliance with security, privacy, and regulatory requirements Enabling self‑service analytics through reusable and governed data products Promoting DevOps and DataOps practices Supporting a culture of transparency, ownership, and continuous improvement Building data foundations for analytics and AI use cases Supporting the integration of Vertex AI and related AI services Collaborating with Data Scientists to operationalize Machine Learning solutions

Требования:

Strong hands‑on experience with BigQuery Strong hands‑on experience with Dataform Strong hands‑on experience with Dataplex (catalog, lineage, data quality, tag application) Data lake and Lakehouse implementation on GCP: Cloud Storage, external tables, BigLake, and the trade‑offs between external and materialized data Cloud Composer /Cloud Workflows Cloud Run /Functions IAM and Security Services Cloud Monitoring and observability Dataflow ELT/ETL architecture and implementation API‑based data integration Data Contract implementation in the pipeline (assertions, quality checks, validation at build time) Real‑time and streaming architecture Metadata management and data lineage Data quality management Event‑driven architectures AI‑assisted engineering: proficient with GCP AI assistance (Gemini in BigQuery, Gemini Code Assist) and able to coach the data engineers on using it productively and safely Python SQL Infrastructure as Code (Terraform preferred) CI/CD pipelines Git and version control DevOps and DataOps practices Platform monitoring and observability Performance optimization and cost management Будет плюсом: Google Professional Data Engineer; Google Professional Cloud Architect; Google Professional Machine Learning Engineer; Terraform Associate

Условия:

We offer you the flexibility of working from home or other locations for the best possible work‑life balance. We invest in your continuous development with a dedicated annual training budget to enhance your skills through various upskilling programs and initiatives. We support your career aspirations with clear pathways for advancement within the company and the EEX Group. We offer and support the possibility to explore new roles within the company to expand your skills and experience. We promote a culture of recognition and reward with the EPEX SPOT leadership journey that encourages everyone’s progression and development.