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Bristol, England, United Kingdom
Live, first seen by us 32 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Design, develop and maintain data products using Databricks and Azure
Build scalable ETL/ELT pipelines from multiple enterprise systems
Create and maintain curated datasets for BI, reporting and analytics
Implement data quality, reconciliation and validation processes
Support production data products and resolve data quality or availability issues
Design, develop, and maintain data products using Databricks and associated Azure technologies.
Build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple enterprise systems.
Create and maintain curated datasets that support business intelligence, reporting, and analytics.
Implement data quality, reconciliation, validation, and monitoring processes.
Support production data products and resolve issues impacting data quality or availability.
Strong experience developing ETL/ELT pipelines and data integration solutions.
Experience within construction, infrastructure, engineering, utilities, energy, or regulated industries.
Degree or equivalent qualification in Computer Science, Data Engineering, Information Systems, Mathematics, Engineering, or a related discipline.
Experience using Apache Spark, PySpark, and Spark SQL.
Familiarity with Integrated Management System (IMS) or similar governance frameworks.
Strong SQL development and optimisation skills.
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Day 32
Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Working on a major nuclear power plant project with experience in Databricks, the Data Engineer will be responsible for designing, developing, testing, and supporting data products that underpin reporting, analytics, and operational decision-making across the project programme. Working within a multidisciplinary Data & Analytics team, the successful candidate will use Databricks, SQL, Python, and Microsoft technologies to deliver robust, scalable, and maintainable data solutions. They will collaborate closely with Data Architects and Performance Analysts to transform business requirements into high-quality data products that support project performance reporting across safety, quality, schedule, cost, and operational functions. This role requires a Data Engineer who can work independently, take ownership of technical delivery, and contribute to the continuous improvement of the organisation's data platform.
- Build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple enterprise systems. - Develop data transformations using PySpark, Spark SQL, SQL, and Python. - Create and maintain curated datasets that support business intelligence, reporting, and analytics.
- Knowledge of Power BI advanced features and dashboard development. - Experience with automation using VBA or Python. - Exposure to Agile delivery methodologies.
- Power BI - Python Additional Information
- Strong experience developing ETL/ELT pipelines and data integration solutions. - Experience using Apache Spark, PySpark, and Spark SQL. - Strong SQL development and optimisation skills.
- Experience using Apache Spark, PySpark, and Spark SQL. - Strong SQL development and optimisation skills. - Experience working with large and complex datasets from multiple source systems.
- Databricks - SQL Server - Microsoft Azure
Data Engineering & Development - Design, develop, and maintain data products using Databricks and associated Azure technologies. - Build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple enterprise systems.
- Degree or equivalent qualification in Computer Science, Data Engineering, Information Systems, Mathematics, Engineering, or a related discipline. - Relevant Databricks, Azure, or Power BI certifications are desirable. Software Experience
- SQL Server - Microsoft Azure - Azure DevOps
- Microsoft Azure - Azure DevOps - Power BI
Overview Working on a major nuclear power plant project with experience in Databricks, the Data Engineer will be responsible for designing, developing, testing, and supporting data products that underpin reporting, analytics, and operational decision-making across the project programme. Working within a multidisciplinary Data & Analytics team, the successful candidate will use Databricks, SQL, Python, and Microsoft technologies to deliver robust, scalable, and maintainable data solutions. They will collaborate closely with Data Architects and Performance Analysts to transform business requirements into high-quality data products that support project performance reporting across safety, quality, schedule, cost, and operational functions.
Essential Skills & Experience Databricks & Data Engineering - Minimum 2 years' experience delivering data engineering or business intelligence solutions.
- Minimum 2 years' experience delivering data engineering or business intelligence solutions. - Strong proven commercial experience with Databricks. - Strong experience developing ETL/ELT pipelines and data integration solutions.
Desirable Skills - Databricks certification. - Experience within construction, infrastructure, engineering, utilities, energy, or regulated industries.
Software Experience - Databricks - SQL Server
- Experience implementing data quality and reconciliation processes. - Experience working with Power BI and data visualisation solutions. - Understanding of semantic models, reporting datasets, and business intelligence concepts.
- Familiarity with Integrated Management System (IMS) or similar governance frameworks. - Knowledge of Power BI advanced features and dashboard development. - Experience with automation using VBA or Python.
- Azure DevOps - Power BI - Python
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Overview
Working on a major nuclear power plant project with experience in Databricks, the Data Engineer will be responsible for designing, developing, testing, and supporting data products that underpin reporting, analytics, and operational decision-making across the project programme.
Working within a multidisciplinary Data & Analytics team, the successful candidate will use Databricks, SQL, Python, and Microsoft technologies to deliver robust, scalable, and maintainable data solutions. They will collaborate closely with Data Architects and Performance Analysts to transform business requirements into high-quality data products that support project performance reporting across safety, quality, schedule, cost, and operational functions.
This role requires a Data Engineer who can work independently, take ownership of technical delivery, and contribute to the continuous improvement of the organisation's data platform.
Key Responsibilities
Data Engineering & Development
Delivery & Support
Collaboration & Governance
Essential Skills & Experience
Databricks & Data Engineering
Desirable Skills
Qualifications
Software Experience
🌟 What we offer
🏠 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
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.
NOTICE TO CANDIDATES ON RECRUITMENT FRAUD - We are committed to safeguarding candidates from fraudulent activity associated with our recruitment process. Please note that we will never offer specialist CV writing services, request payment or ask for sensitive personal information during the recruitment process.
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.
⚡️💡 About Assystem
Today, Assystem is among the top three independent nuclear engineering firms worldwide. With over 60 years of experience in highly regulated sectors, the group supports public and industrial stakeholders in the execution of complex and strategic infrastructure projects, subject to high safety and security requirements.
Assystem mobilizes 8,000 experts in 13 countries and intervenes across the entire project lifecycle, in engineering, project management and digital solutions.
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Bristol, England, United Kingdom
🌟 What we offer 🏠 Hybrid Working – Flexibility to work from home and the office 🏖️ 25 Days Annual Leave + Bank Holidays
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