Data engineer in energy trading

Epex Spot; Amsterdam; Hybrid; EUR 110,000 - 140,000; Full time

Benefits offered by this job

Remote work options

Annual training budget

Clear career pathways

Job summary

EPEX SPOT ищет ведущего инженера по данным для проектирования и развития облачной платформы данных на Google Cloud Platform. Вы будете сочетать инженерное мастерство с техническим лидерством, чтобы создавать масштабируемые, управляемые и готовые к ИИ продукты данных для аналитики и бизнес-операций.

Требуется глубокий опыт работы с GCP (BigQuery, Dataplex, Dataflow, Cloud Run), навыки пайплайнов и DevOps, а также способность обучать команды и взаимодействовать с международными стейкхолдерами.

Qualifications

• Опыт проектирования и внедрения облачных платформ на GCP (BigQuery, Dataplex, Data Lake/Lakehouse).
• Опыт реализации конвейеров данных, ELT/ETL, реального времени и архитектурной деятельности.
• Знание IAM, мониторинга, observability и DevOps/DataOps практик.

Responsibilities

• Разработка масштабируемых пайплайнов и продуктов данных в GCP.
• Обеспечение надежности, безопасности и управляемости платформы.
• Координация архитектурных решений и дорожной карты проекта.
• Наставничество инженеров данных и проведение код-ревью.

Skills

BigQuery

Dataform

Dataplex

GCP

Python

SQL

Terraform

CI/CD

Git

Data Lake / Lakehouse

Education

Bachelor's or Master's in Computer Science or related field

Tools

Terraform

Apache Airflow

Cloud Composer/Workflows

Job description

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, Dataform, 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
• Proven experience working in Agile environments
• Strong technical leader who drives results through expertise, influence, and a passion for developing engineering talent.
• Excellent communicator and collaborator, able to engage effectively with both technical and non-technical stakeholders in international environments.
• Combines a proactive, analytical, and continuous improvement mindset with a strong sense of ownership, accountability, and a commitment to delivering high-quality business value.
• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related field.
• Minimum 7 years of experience in Data Engineering, Software Engineering, or a related discipline.
• Proven experience building and operating cloud-native data platforms.
• Strong hands‑on experience with Google Cloud Platform data services.
• 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.