Data Engineer

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Job Description:

As a Data Engineer specializing in Natural Gas and Power, you will support the design, development, and optimization of advanced data infrastructure and products that support critical trading, risk, and market analytics functions. You will collaborate closely with traders, quantitative analysts, risk managers, and IT stakeholders to ensure data systems are scalable, secure, and aligned with the strategic goals of the energy business. In addition to hands-on engineering, you will play a pivotal role supporting the data architecture roadmap, mentoring junior engineers, and driving innovation in data-driven decision-making across the Natural Gas and Power value chain. This role reports to the Data Engineer Lead.

Main Responsibilities

Data Architecture & Engineering Leadership

• Architect and implement robust, scalable, and secure data pipelines and platforms tailored to the needs of Natural Gas and Power trading, including real-time market data ingestion, time-series storage, and high-frequency analytics.

• Lead the design and governance of data models that support complex trading strategies, asset optimization, and regulatory reporting.

• Ensure data quality, lineage, and observability across all layers of the data stack.

Strategic Collaboration & Business Alignment

• Partner with trading desks, quantitative teams, and risk functions to translate business needs into data solutions that enhance decision-making and operational efficiency.

• Act as a senior liaison between engineering and business stakeholders, ensuring alignment on data priorities and delivery timelines.

• Contribute to the definition and execution of the enterprise data strategy, with a focus on Natural Gas and Power markets.

Innovation & Product Development

• Drive the development of advanced data products such as predictive analytics tools, real-time dashboards, and automated reporting systems.

• Expand and enrich datasets from public and proprietary sources to support market intelligence and forecasting.

• Evaluate and implement emerging technologies (e.g., streaming platforms, graph databases, ML pipelines) to improve data capabilities.

Mentorship & Technical Oversight

• Provide technical leadership and mentorship to junior engineers and analysts, fostering a culture of excellence, learning, and continuous improvement.

• Review code, enforce best practices, and ensure adherence to architectural standards and security protocols.

Operational Excellence

• Monitor and optimize performance of data systems, ensuring high availability and resilience in a fast-paced trading environment.

• Lead incident response and root cause analysis for data-related issues, implementing preventive measures.

• Maintain documentation and knowledge repositories to support operational continuity and onboarding.

Profile

• Master’s or Bachelor’s degree in Computer Science, Data Engineering, Applied Mathematics, or a related technical field.

• 6+ years of experience in data engineering, with at least 3 years in a senior or lead role.

• Proven experience in the energy trading sector, ideally with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR).

• Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask).

• Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster).

• Proficient in cloud platforms (preferably Azure) and services such as Data Lake, Synapse, Event Hubs, and Functions.

• Authoring reports and dashboards with either open source or commercial products (e.g. PowerBI, Plot.ly, matplotlib)

• Programming

  • OOP

  • DevOps

  • Application development lifecycle

• Web technologies

  • HTTP/S

  • HTML/Javascript

  • REST APIs

  • Authentication protocols

  • Data formats (CSV, JSON, XML, Parquet)

• Experience with time-series databases (e.g., InfluxDB, kdb+, TimescaleDB) and real-time data processing.

• Familiarity with distributed computing and data warehousing technologies (e.g., Spark, Snowflake, Delta Lake).

• Strong understanding of data governance, master data management, and data quality frameworks.

• Solid grasp of web technologies and APIs (REST, JSON, XML, authentication protocols).

• Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).

• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

• English (fluent), any additional language is an asset

If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.