(Senior) Forecasting Data Engineer

SEFE Energy UK
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Scientist

Data Analyst

Data Analyst


SENIOR FORECASTING DATA ENGINEER at SEFE Energy UK

Manchester, United Kingdom


IN SHORT

Shape the future of energy forecasting with SEFE Energy! We’re looking for a talented Forecasting Data Engineer to join our Portfolio Management team in Manchester. In this role, you’ll design and deliver accurate energy demand forecasts and analyze business operations to identify opportunities to improve stability, scalability, and performance. If you’re passionate about data, innovation, and making an impact in the energy market, we’d love to hear from you.


What Will You Do

  • Create energy demand forecasts and related reports (PnL attribution and AOC reporting) according to business needs
  • Stakeholder Management – Engage with key stakeholders and ensure clear communication on issues that influence forecasting
  • Design and implement improvements to current codebases to improve stability, scalability, and performance
  • Lead design, implementation and system development in line with business requirements and corporate strategy
  • Monitor and interpret model performance and forecast accuracy
  • Analyze business operations to identify opportunities for improvement and propose actionable solutions that create measurable value and efficiency
  • Provide advice and mentoring to junior developers who support their technical growth and integration into the team

What Will You Bring

  • Knowledge and experience in the power market (highly desirable)
  • Proven experience as a Data Engineer in a similar environment and tech stack
  • Strong programming skills in Python (or similar)
  • Expertise in data wrangling using Python libraries (pandas, polars, numpy)
  • Experience with Microsoft SQL Server and preferably time series databases
  • Familiarity with machine learning operations (MLOps)
  • Experience designing and developing scalable ETL pipelines and knowledge of DevOps principles
  • Collaborative approach with strong stakeholder engagement skills
  • Effective problem‑solving and critical thinking abilities
  • Proactive mindset with a focus on continuous improvement
  • Accuracy and attention to detail, even under tight deadlines

About Us

Securing Energy for Europe – it’s a simple statement, with a bold ambition. SEFE is not just our name, but also encompasses everything that drives us. To accomplish this, we’re taking immediate action to secure gas supply – but also looking forward, to explore our role in the European energy transformation and how we can contribute to a stable and sustainable future. SEFE, an international energy company, ensures the security of supply and drives the decarbonisation of its customers. SEFE’s activities span the energy value chain, from origination and trading to sales, transport, and storage. Through its decades‑long expertise in trading and the development of its LNG business, SEFE has become one of the most important suppliers to industrial customers in Europe, with an annual sales volume of 200 TWh of gas and power. Its 50,000 customers range from small businesses to municipalities and multinational organisations. By investing in clean energies and especially in the hydrogen ecosystem, SEFE is contributing to the energy transition. The company employs around 2,000 people globally and is owned by the Federal Government of Germany. Our international teams work across locations in Europe, Asia, and North America. We’re passionate about energy and the important role it can play in shaping a better future. Securing energy – now and for the future.


Our Benefits

  • Bonus earning potential
  • Non‑contributory pension with 10% employer contribution
  • 25 days holiday plus bank holidays and volunteering days
  • buy/sell holidays
  • life assurance
  • medical and dental insurance (family cover)
  • range of optional flexible benefits

We are committed to supporting your career growth with opportunities to develop both your knowledge and experience through a blended approach to learning.


Join SEFE and help us secure energy supply across Europe and shape a better, more sustainable tomorrow.


Seniority level

  • Mid‑Senior level

Employment type

  • Full‑time

Job function

  • Sales and Business Development

Industries

  • Utilities


#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.