National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

Manchester
1 week ago
Create job alert

Company Description
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. Sharing our knowledge, expertise and values allows us to innovate and think differently about the energy transition.
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 optimize 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.
Job Description
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.
    What We’re Looking For
  • 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.
    Qualifications
  • 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.
    Additional Information
    And what do we have to offer you?
    💥 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.
    #LI-Hybrid
    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

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

National AI Awards 2025

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.

How to Get a Better Data Engineering Job After a Lay-Off or Redundancy

Redundancy can be unexpected and unsettling, especially in a field as technically demanding as data engineering. But the good news is: your skills are still in high demand. The UK continues to see strong growth in data infrastructure, cloud analytics, machine learning pipelines, and data governance roles. Whether you're a big data engineer, ETL specialist, cloud data platform expert, or someone working in real-time streaming and pipelines, there are new opportunities to rebuild and rebrand your career. This guide is designed to help UK-based data engineers bounce back after a redundancy, with a step-by-step roadmap to relaunch into a stronger, better-aligned role.

Data Engineering Jobs Salary Calculator 2025: Work Out Your True Worth in Seconds

Why last year’s pay survey misleads data engineers today Ask any Data Engineer elbow‑deep in late‑arriving CDC streams, an Analytics Engineer stockpiling dbt models, or a DataOps Lead juggling Airflow failures: “Am I earning what I deserve?” The answer changes monthly. New GPU‑hungry AI workloads spike storage costs, lakehouse toolchains displace legacy marts, & suddenly real‑time streaming isn’t “nice to have” but the lion’s share of your backlog. Each shift nudges salary bands. A PDF salary guide printed in 2024 under‑reports pay the moment Databricks announces another acquisition or HMRC mandates digital provenance. To provide an up‑to‑date benchmark, DataEngineeringJobs.co.uk distilled a transparent, three‑factor formula. Plug in your discipline, UK region, & seniority; out pops a realistic 2025 salary. No stale averages, no guesswork. This article unpacks the formula, details the forces pushing data‑engineering pay upward, & offers five practical actions to lift your value in the next ninety days.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.