Powertica Commodities UK Ltd
Analytics Engineer
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Why join Powertica?
Powertica is a fast-growing energy trading company working alongside InterGen, one of the UK's largest independent power generators with 2.8GW of CCGT and OCGT generation capacity.
We combine the agility and innovation of a growing business with the stability and scale of an established energy portfolio. As part of our team, you'll have the opportunity to make a genuine impact while learning from experienced professionals in a collaborative and supportive environment.
The job summary:
The Analytics Engineer will join the Data and Analytics team, building the pipelines, tooling and models that support analysts and traders. Working with data engineers, analysts, traders and other stakeholders across the business, this is a hands-on role combining engineering with analysis and domain expertise to deliver impact.
Working with teams across the UK and Europe, the data function within Powertica Commodities UK develops models and tools to support trading in energy markets. Supporting trading desks as well as colleagues across Europe, the analytics engineering role will involve:
- Developing and maintaining data ingestion, processing and modelling pipelines, orchestrated with Airflow.
- Supporting analysis and model development alongside analysts and traders, from exploratory work through to production.
- Managing deployment of prototype and production code using Docker and Azure.
- Analysis and prototyping of decision support tools, and hardening the proofs of concept that prove their value.
- Owning data quality, monitoring and documentation for the datasets the desks rely on.
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The team is small, fast-moving and deliberately unbureaucratic — closer to a start-up than a corporate function — so good ideas get built rather than queued. It is expected that the Analytics Engineer will take ownership of most or all of the lifecycle of a project, with real scope to bring new ideas forward and shape the tooling as the team grows.
Skills:
Essential Skills:
- Background in coding and data — a numerate or computing degree, or equivalent commercial experience, with demonstrable experience using code to analyse data and solve problems.
- Strong experience of the Python data stack (Numpy/Pandas/SciPy/Sklearn etc.) in an academic or commercial setting.
- Experience using SQL and relational databases (Postgres or comparable).
- Experience of cloud platforms and cloud-based storage (Azure or comparable).
- Orchestration of pipelines and models (Airflow or comparable, e.g. Dagster, Prefect, Azure Data Factory).
- Containerisation and deployment of workloads (Docker or comparable).
- Ability to quickly learn new concepts and domain knowledge.
Desirable Skills:
- Version control, release and deployment CI/CD tools (Gitlab/Github/Devops etc.).
- Timeseries forecasting, machine learning or statistical modelling.
- Transformation frameworks such as dbt.
- Visualisation and dashboarding tools (Grafana, Power BI or similar).
- Experience using LLM tools for development and rapid prototyping.
Experience:
Essential Experience:
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- 1–2 years' commercial experience in analytics engineering, data engineering, data science or a comparable technical role — or a recent graduate with demonstrable hands-on experience of the stack above through placements, internships, research or open-source work.
- Working in a collaborative team, either in a commercial or postgraduate setting.
- Ability to track and plan project activities, while managing own workload.
- Evidence of active personal development.
- Experience collaborating with adjacent teams (e.g., data engineers, BI developers, domain experts or other colleagues) to deliver projects.
Desirable Experience:
- Background in energy, technology, finance, insurance or another data-intensive industry.
- Energy or finance markets exposure — power, gas, renewables, imbalance or dispatch.
- Commercial experience of deployed timeseries forecasting models.
- Modelling orchestration and deployment / ML Ops.
- Enterprise-level software development.
Travel:
Ad Hoc, expected to attend training courses, industry events and networking opportunities to maintain skillset and grow our data capability.
Right To Work:
Applicants must have the unrestricted right to work in the United Kingdom at the time of application and throughout their employment.
Please note that Powertica Commodities UK Ltd is unable to provide visa sponsorship or support applications for UK work visas for this position. Any offer of employment will be subject to satisfactory evidence of the candidate's right to work in the UK.
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