National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

Gunvor Group
London
1 week ago
Create job alert

As a Senior 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.

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.

8+ 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

Web technologies

HTTP/S

REST APIs

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.

About Us

At Gunvor, we are always looking for talented and motivated new people who will contribute to the success and growth of our company. Every day, with their know-how, expertise and passion, our people make the difference and enable us to achieve our vision. Our global business offers a wide variety of opportunities and career paths. If you are unable to find any suitable vacancies, we recommend that you set up alerts to be notified when a position matching your criteria becomes available.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.