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- Tasks: Support digital configuration and asset data delivery in major nuclear projects.
- Company: Join Assystem, a leading nuclear engineering company driving energy transition.
- Benefits: Hybrid working, 25 days leave, healthcare cash plan, and exclusive discounts.
- Other info: Dynamic environment with opportunities for professional growth and diverse team collaboration.
- Why this job: Make a real impact on critical nuclear projects shaping the future of energy.
- Qualifications: Experience in data analysis, validation, and proficiency in SQL, Python, and Power BI.
The predicted salary is between 40000 - 50000 £ per year.
At Assystem, our mission is to accelerate the energy transition worldwide. Our 8,000 Switchers combine engineering expertise with advanced digital technologies to deliver complex infrastructure solutions. In the UK, we contribute to major nuclear programmes including Hinkley Point C, Sizewell C and future Small Modular Reactors (SMRs). Our digital engineering and data capabilities are key to enabling efficient, data-driven delivery across the asset lifecycle.
Join one of the three largest nuclear engineering companies in the world and play a key role in delivering high-quality asset data for major infrastructure programmes. At Assystem, your future team operates at the centre of digital engineering, ensuring data integrity and configuration management across complex projects. You will be part of a collaborative environment where data excellence directly supports safe and efficient project delivery.
The Job Mission
This hybrid role is suited to candidates able to commute to Bristol or relocate nearby. You will support digital configuration and asset data delivery within a major nuclear project environment. Working closely with your future team, you will ensure data quality, integrity and readiness for operational systems.
- Populate asset management systems with accurate equipment identifiers and configuration attributes.
- Perform data validation and quality assurance across equipment installation and configuration datasets.
- Maintain asset and system schedules, resolving discrepancies and data anomalies effectively.
- Support development of datasets aligned with business rules for enterprise asset systems.
- Produce regular performance reports to support management review and decision-making processes.
- Collaborate with construction, completions and handover teams to ensure data consistency.
- Support digital configuration processes through structured work management activities.
- Identify and resolve data issues, ensuring alignment with configuration and change management processes.
Essential Skills
- Strong experience in asset data analysis, validation and data quality assurance processes.
- Proficiency in tools such as Power BI, SQL, Python and data processing platforms.
- Experience working with asset management or enterprise data systems.
- Ability to manage data integrity independently within complex project environments.
- Knowledge of configuration management standards and change control processes.
- Strong organisational skills with ability to manage multiple concurrent tasks.
- Excellent communication skills to present data issues to multidisciplinary teams.
- Strong analytical and numerical capability with high attention to detail.
Desired Skills
- Degree, HNC or HND in data engineering or related discipline.
- Experience working within nuclear or highly regulated infrastructure projects.
- Familiarity with enterprise asset management systems such as Asset Suite.
- Experience supporting work pack or document management processes.
- Understanding of project lifecycle data requirements from construction to operations.
Join Assystem and become a key player in delivering critical nuclear projects that shape the future of energy. Embrace this opportunity to excel in a dynamic environment where your expertise and leadership will drive global innovation.
Your Benefits Package
- Hybrid Working – Flexibility to work from home and the office
- 25 Days Annual Leave + Bank Holidays
- Buy & Sell Holiday – Make your time off work for you
- 8% Company Pension Contributions
- Income Protection & 3x Salary Death-in-Service Cover
- Competitive Sick Pay – Support when you need it
- Healthcare Cash Plan – Claim back on dental, optical & more
- Free Digital Gym Access – Expert-led fitness classes
- Exclusive Discounts – Restaurants, days out & top brands
- 24/7 Employee Support Line – Mental health, financial & legal help
- Cycle to Work Scheme – Save money & go green
- Free Flu Jabs & Eye Test Vouchers
- Paid Professional Membership Fees
- Volunteer Days – Make a difference on company time
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!
Data Engineer - Design Configuration employer: Assystem GmbH
Contact Detail:
Assystem GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Design Configuration
✨Tip Number 1
Network like a pro! Reach out to current employees at Assystem on LinkedIn or attend industry events. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data engineering skills. Be ready to discuss how you've tackled data quality issues in the past, especially in complex environments like nuclear projects.
✨Tip Number 3
Show off your analytical skills! Bring examples of reports or dashboards you've created using tools like Power BI or SQL. This will demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Assystem team.
We think you need these skills to ace Data Engineer - Design Configuration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your data analysis, validation, and quality assurance experience, as these are key for the Data Engineer role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the nuclear sector and how your background aligns with our mission at Assystem. Be genuine and let your personality shine through!
Showcase Relevant Skills: Don’t forget to mention your proficiency in tools like Power BI, SQL, and Python. We want to see how you can contribute to our digital configuration processes and data integrity efforts.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Assystem GmbH
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Power BI, SQL, and Python. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data processing.
✨Understand Configuration Management
Brush up on configuration management standards and change control processes. Being able to articulate your knowledge in this area will demonstrate your readiness to handle data integrity and management tasks effectively.
✨Prepare for Team Collaboration Questions
Since the role involves working closely with multidisciplinary teams, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you resolved any data discrepancies while working with others.
✨Showcase Your Analytical Skills
Be prepared to discuss specific instances where your analytical and numerical capabilities made a difference in a project. Use concrete examples to illustrate your attention to detail and how it contributed to data quality assurance.