Senior Data Engineer – Short Term Power Markets

Castleton Commodities International
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer Short-Term Power Markets- Leading Global Energy Commodities Trading

Principal Data Analyst

Lead Data Engineer

Data Engineering Manager

Senior Data Engineer

Senior Data Engineer

Castleton Commodities International (https://www.cci.com) is a global leader in energy commodity trading and asset investment. Our Data Science & Technology team is central to our success, engineering the high-performance data, systems and innovative tools that power our commercial decision-making. We build platforms and forecasts that help our front‑office teams understand market behaviour, forecast price movements, and manage risk. Our team solves complex, high‑impact challenges using a modern technology stack, including the latest in GenAI and the latest technologies. We develop everything in cloud‑native infrastructure from structured data and real-time analytics to back‑testing engines, third‑party integrations, and internal libraries, all designed to give CCI a competitive edge in global commodities markets. This role is an opportunity to build solutions that have a direct commercial impact from day one.


Responsibilities

  • Design, build, and maintain scalable data pipelines to deliver real‑time and historical data for back‑testing, modeling, and execution of trading strategies.
  • Integrate and manage data feeds from multiple sources, including fundamental market data, grid operations, weather providers, and internal trading systems.
  • Collaborate closely with Technology and Trading teams to ensure the timely availability and reliability of data across all systems supporting the Intraday Power desk.
  • Organise and structure Power data, including both reference and transactional data.
  • Monitor, troubleshoot, and optimise streaming data infrastructure, proactively resolving issues to minimise downtime and ensure data integrity.
  • Partner with Technology & Commercial teams to enhance the back‑testing and signal generation frameworks that support systematic trading models.
  • Implement best practices in data governance, versioning, and lineage, ensuring compliance and traceability across the data stack.
  • Develop internal tools, APIs, and dashboards that improve data accessibility, transparency, and usability for Traders & Analysts.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field of study.
  • 5 – 10 years of professional experience as a Senior Data Engineer, preferably supporting Intraday Short‑Term Power trading or similar real‑time energy market environments.
  • Experience working with energy commodity time‑series datasets is required; familiarity with short‑term power market data sources such as EPEX, ENTSO‑E, or Nord Pool is strongly preferred but not required.
  • Understanding of systematic trading workflows, including signal generation, back‑testing, and model validation.
  • Proven ability to work in a high‑frequency, intraday trading environment with tight feedback loops between data, models, and execution.
  • Experience with ETL/ELT frameworks to write pipelines to load millions/billions of records.
  • Advanced skills in writing highly optimised SQL code.
  • Hands‑on experience developing data solutions in Python, Pandas, Numpy, etc.
  • Experience with relational databases; Snowflake highly preferred.
  • Strong communication skills, with the ability to convey complex technical concepts to non‑technical stakeholders.

Employee Programs & Benefits

  • Competitive comprehensive medical, dental, retirement and life insurance benefits
  • Employee assistance & wellness programmes
  • Parental and family leave policies
  • CCI in the Community: Each office has a Charity Committee and as part of this program employees are allocated 2 days annually to volunteer at the selected charities.
  • Charitable contribution match programme
  • Tuition assistance & reimbursement
  • Quarterly Innovation & Collaboration Awards
  • Employee discount programme, including access to fitness facilities
  • Competitive paid time off
  • Continued learning opportunities

Visit https://www.cci.com/careers/life-at-cci/# to learn more!


#J-18808-Ljbffr

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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.