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

Apply Now

Data Engineer

Assystem UK Ltd
Preston
3 days ago
Create job alert

We're seeking a Senior Data Engineer to lead and grow our internal R&D data team. This is a hands‑on leadership role for someone who enjoys shaping technical solutions, building team capability, and engaging with stakeholders across the business. You'll work with two data engineers who are already delivering tools and insights using Budibase (for low‑code workflow applications), PostgreSQL, and Power BI. These tools support business process automation and data‑driven decision‑making. There is a major opportunity to modernise how we deliver and manage data as well as expanding the use of data and analytics inside the business. The right candidate will find real scope to influence direction and develop business cases for change, implement good practice, and guide the team toward scalable, robust solutions. This role suits someone with strong technical grounding, experience in data transformation or modernisation, and the soft skills to consult, influence, and mentor.


Key Responsibilities

  • Lead technical delivery of data workflows, reports, and tools used to support internal business processes.
  • Mentor and coach junior data engineers, helping them grow their technical and consulting skills.
  • Collaborate with stakeholders across the business to understand needs and deliver value‑driven data solutions.
  • Drive modernization efforts, identifying opportunities to improve scalability, maintainability, and performance.
  • Champion best practices in data engineering, governance, and low‑code/no‑code tooling.
  • Translate business requirements into robust data architectures and analytical workflows.
  • Maintain and improve integrations between Budibase applications, PostgreSQL databases, and Power BI dashboards.

Required Qualifications

  • Proven experience in senior or lead data engineering roles, ideally within internal consultancy or transformation environments.
  • Strong experience with PostgreSQL, Power BI, and low‑code platforms (Budibase or similar).
  • Solid programming skills, preferably in Python, especially for ETL development and support.
  • Proficiency with version control systems (e.g., GitHub), with an understanding of best practices for collaboration, review, and deployment.
  • Familiarity with REST APIs, including how to design, consume, and integrate them into data workflows.
  • Track record of working closely with non‑technical stakeholders to deliver effective data solutions.
  • Experience with data transformation, process optimization, or modernizing legacy tooling.
  • Strong communication and influencing skills (comfortable challenging assumptions and guiding decision‑making).
  • Passion for mentoring and developing junior talent.
  • A pragmatic, problem‑solving mindset (able to work effectively with limited resources).

Profile

  • Experience integrating low‑code platforms with modern data stacks.
  • Familiarity with cloud data infrastructure (e.g. Azure, AWS).
  • Background in business process design or improvement.

Assystem is an international company with one mission: accelerate the energy transition around the world. Every day, our 7,500 switchers located in 12 countries (Europe, Middle East, Pacific Asia & Africa) connect their six thousand billion neurons to tackle the task of the century: switching to low‑carbon energy. We are a collective committed to the actors who are making the energy switch. Drawing on more than 55 years' experience in highly regulated sectors subject to strict security and safety requirements, we provide our customers with engineering and project management services, as well as digital services and solutions to optimise the performance of complex infrastructure projects throughout their life cycle. The Group is currently ranked second in the world for nuclear engineering. To ensure a viable, efficient, and reliable energy future for all.


Opportunities for continuous professional development thanks to a company focused on career‑long learning and training. Access to innovative projects, offering a stimulating and rewarding experience. A corporate culture based on collaboration, mutual help and support, fostering a positive and motivating working environment. A remuneration policy designed to encourage and reward individual investment and team spirit. Flexibility and work‑life balance through flexible working policies and employee support programmes. Due to the nature of work to be undertaken applicants will be required to meet certain residency criteria in order to attain a minimum level of UK security clearance if not already security cleared to a minimum SC level.


We are committed to equal treatment of candidates and promote, as well as foster all forms of diversity within our company. We believe that bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills, talent, and our people's ability to dare are the only things that matter !. Bring your unique contributions and help us shape the future. Are you a prospective or recent graduate? Assystem offers you the opportunity to join our Switch to Grow UK Graduate Scheme, where you'll gain hands on experience in engineering, digital services, and project management by working on some of the world's most critical energy projects.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.