Key Skills

Job Description

About ETRMServices: ETRMServices provides managed services, software solutions and data integration capabilities for organizations in the energy and commodities sectors. We help customers connect trading, pricing, market and operational data across their application landscape, enabling reliable data flows into enterprise data lakes, warehouses and reporting platforms. Role Description: We are seeking an experienced Senior Data Engineer to lead the design, development and operation of enterprise-scale data integration solutions within the energy trading domain. You will play a key role in connecting ETRM platforms, market data providers and pricing systems with modern data platforms and analytical environments. Working closely with customers, analysts and engineering teams, you will design scalable data pipelines that deliver accurate, trusted and timely information across the organization. This is a hands-on engineering role requiring strong technical expertise, solution architecture skills and experience delivering production-grade data integration solutions. Key Responsibilities: Data Integration & Engineering Design, build and maintain scalable real-time and batch data pipelines using Python, Kafka, Snowflake and modern data technologies. Integrate ETRM systems, market data platforms and pricing engines with enterprise data platforms. Design analytical data models and ensure data quality, lineage, observability and governance. Architecture & Solution Design Act as technical lead for customer and internal data integration projects. Define integration standards, development practices, deployment approaches and modern data architecture patterns. Participate in code and architecture reviews. Managed Services & Operations Support production environments delivering mission-critical trading, pricing and operational data. Diagnose complex integration and data pipeline issues while improving monitoring, alerting and operational resilience. Work with managed services teams to ensure service reliability and operational excellence. Stakeholder Engagement Partner with customers to understand requirements and translate business processes into scalable technical solutions. Communicate designs and recommendations clearly to technical and non-technical stakeholders. Required Skills & Experience: 7+ years of experience in data engineering, data integration or related engineering roles. Strong Python, PL/SQL, Oracle, Apache Kafka and Snowflake experience. Experience building batch and real-time data pipelines. Understanding of data ingestion, transformation, performance optimization, governance and security. Experience with CI/CD and modern software development practices. Strong analytical, problem-solving and customer communication skills. Knowledge of wholesale power, gas or environmental trading. Based in the Netherlands. Nice to Have: Databricks, Power BI, Apache Airflow or Grafana. Experience with pricing, ETRM or market data platforms. What Success Looks Like: Reliable, scalable pipelines that move trading, pricing and operational data into enterprise data platforms. Improved data quality, accessibility and governance for customer analytics and reporting. Successful technical delivery of complex integration initiatives.

Core Responsibilities

Design, build, and operate scalable batch and real-time data pipelines connecting ETRM systems, market data providers, and pricing platforms to enterprise data and analytics environments. Lead integration architecture and delivery, support mission-critical production services, and improve data quality, governance, monitoring, and operational reliability.

Requirements

Requires 7+ years of experience in data engineering, data integration, or a related engineering role, with strong Python, PL/SQL, Oracle, Apache Kafka, and Snowflake experience. Candidates should have experience with batch and real-time pipelines, CI/CD, data governance and security, and strong problem-solving and customer communication skills; knowledge of wholesale energy trading is also sought.