Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Gunvor Group
London
3 days 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

Data Engineer

Data Engineer

Data Engineer

Data Engineer - PySpark - Palantir - London - £75K

Data Engineer - Customer relationship

Data Engineer (MS Fabric, Databricks - Legal)

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.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.