Data Engineer

Vallum Associates; London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading UK energy company seeks a skilled Data Engineer experienced in AI to support their Wholesale Market Services and Trading division. In this hybrid role, you will design cloud-based data solutions and work closely with data scientists to enhance decision-making processes in the energy sector.

Qualifications

• Proven experience in a technical data engineering role.
• Facilitated integration of AI and ML engineering workflows.
• Strong understanding of data usability and performance.

Responsibilities

• Design and maintain robust data pipelines for analytics workloads.
• Collaborate with AI engineers to support ML solutions.
• Champion data engineering best practices across teams.

Skills

Data engineering best practices

SQL

Cloud data platforms

Python

Communication

Tools

AWS

Azure

GCP

Job description

Job description

Hybrid

Outside IR35 Contract role - 6 months rolling

Industry: Energy / Wholesale Markets & Trading

We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits within the organisation’s Wholesale Market Services and Trading division, a key area focused on enabling smarter, data-driven decision-making in fast-paced energy markets.

You’ll play a pivotal role in designing and delivering complex, cloud- data solutions that support trading operations, risk management, market forecasting, and AI-led optimisation initiatives.

Key Responsibilities

• Design, build, and maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads.

• Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions.

• Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets.

• Champion data engineering best practices and ensure adherence to standards across ingestion, transformation, storage, and governance.
  

Skills & Experience

• Proven experience delivering complex data solutions in a technical data engineering role, ideally in fast-moving or regulated environments.

• Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP).

  AWS is

• Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions).

• Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance.

• Proficient in SQL and experienced in building reliable and maintainable data pipelines; Python skills are highly advantageous.

• Strong communicator, capable of translating complex technical concepts for non-technical audiences and influencing stakeholders at all levels.

If this sounds like an opportunity you are interested in, apply now for immediate review!