31 Data Validation jobs in the United Kingdom
Data Management and Validation Engineer
Posted 5 days ago
Job Viewed
Job Description
Data Management and Validation Engineer - 28/hr (Inside IR35) - Coventry (hybrid potential) - 9 Months (potential for yearly renewal)
The Opportunity
Be a part of the team testing the next generation of electrified propulsion systems for luxury automotive products. Our client is at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds. The person in this data validation and management role will be responsible in providing timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.
- Data Sources and Data Acquisition
- Data Quality validation
- Data piping
- Data storage
- Data visualisation
The specialist role requires an individual with knowledge of different testing environments data management and validation. The role will require you to work cross functionally to deploy a common approach to data piping, data validation tools as well to build a federated data platform. You will be working towards becoming the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the data quality produced by the team.
Key Accountabilities and Responsibilities
- Be responsible in data sources and data acquisition, data quality validation, data pipeline, data storage and data visualisation for physical test environment.
- Delivering data quality reviews to support programme targets and prove out chosen technologies.
- Develop calculations, parameterisation, regulations and process of in-house data tool development.
- Be responsible for confirming the facility is performing in repeatable and reproducible measurements compliant to regulations.
- Carry out correlation exercises between test facilities and test beds across test operation.
- Ensure continuous improvement of measurement quality by reviewing the measurement equipment, systems and methods used by providing data.
- Perform calculation and evaluation of test results, particularly of results from internal correlation measurements, and initiate corrective measures as required.
- Cooperate in projects for improving test bed consistency and repeatability (together with experts from internal departments and the Instrumentation & Test Systems business unit).
- Working closely with the subject matter expert for Data Quality ensuring that the team KPI's for Data Quality are met
- Recommend and justify process and other improvements to enable improved quality of data
- Research, communicate and implement best practice data quality methods and improve test field efficiency.
- Investigate best ways of working to make full use of equipment capability to improve data quality
- To continually encourage a growth mind-set across the team
- Coaching and facilitating in best technical practice, knowledge, methods in data validation and management for apprentice, new starter and existing team member development.
- Undertake any other work as directed by their line manager in connection with their job as may be requested
Knowledge, Skills and Experience
- Educated to degree level in a natural science, mathematical or engineering or computing discipline.
- Designing applications in different programming languages (preferable Python)
- Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud).
- Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation.
- Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions.
- Develop Key Performance Indicator (KPI) and ability to graphical data presentation.
- Technical / theoretical understanding of physical measurement equipment
- Ability to deliver written reports and technical presentations.
Desirable
- Academic thesis or capstone project in formal field of study.
- Six Sigma Green Belt
- Technical knowledge of process, calculation and measurement techniques demanded by both engineering and legislative requirements.
- Experience in measurement science.
- Quantitative understanding of equipment measurement sensitivity
Additional information:
This role is on a contract basis and is Inside IR35.
The services advertised by Premea Limited for this vacancy are those of an Employment Business.
Premea is a specialist IT & Engineering recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors.
Data Management and Validation Engineer
Posted 5 days ago
Job Viewed
Job Description
Data Management and Validation Engineer - 28/hr (Inside IR35) - Coventry (hybrid potential) - 9 Months (potential for yearly renewal)
The Opportunity
Be a part of the team testing the next generation of electrified propulsion systems for luxury automotive products. Our client is at the forefront of development in hybrid and full electric powertrains, aiming to deliver electrifying performance and peerless refinement. This role will work across Electric machine, Electric Drive Unit (EDU), Inverter, Cell, Battery, Power in loop (PiL) and Vehicle in Loop (ViL) test beds. The person in this data validation and management role will be responsible in providing timely, accurate, secured and accessible test data for wider engineering group to enable efficient engineering decisions.
- Data Sources and Data Acquisition
- Data Quality validation
- Data piping
- Data storage
- Data visualisation
The specialist role requires an individual with knowledge of different testing environments data management and validation. The role will require you to work cross functionally to deploy a common approach to data piping, data validation tools as well to build a federated data platform. You will be working towards becoming the Subject Matter Expert for data management and validation and deliver a training package to develop others in order to improve the data quality produced by the team.
Key Accountabilities and Responsibilities
- Be responsible in data sources and data acquisition, data quality validation, data pipeline, data storage and data visualisation for physical test environment.
- Delivering data quality reviews to support programme targets and prove out chosen technologies.
- Develop calculations, parameterisation, regulations and process of in-house data tool development.
- Be responsible for confirming the facility is performing in repeatable and reproducible measurements compliant to regulations.
- Carry out correlation exercises between test facilities and test beds across test operation.
- Ensure continuous improvement of measurement quality by reviewing the measurement equipment, systems and methods used by providing data.
- Perform calculation and evaluation of test results, particularly of results from internal correlation measurements, and initiate corrective measures as required.
- Cooperate in projects for improving test bed consistency and repeatability (together with experts from internal departments and the Instrumentation & Test Systems business unit).
- Working closely with the subject matter expert for Data Quality ensuring that the team KPI's for Data Quality are met
- Recommend and justify process and other improvements to enable improved quality of data
- Research, communicate and implement best practice data quality methods and improve test field efficiency.
- Investigate best ways of working to make full use of equipment capability to improve data quality
- To continually encourage a growth mind-set across the team
- Coaching and facilitating in best technical practice, knowledge, methods in data validation and management for apprentice, new starter and existing team member development.
- Undertake any other work as directed by their line manager in connection with their job as may be requested
Knowledge, Skills and Experience
- Educated to degree level in a natural science, mathematical or engineering or computing discipline.
- Designing applications in different programming languages (preferable Python)
- Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud).
- Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation.
- Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions.
- Develop Key Performance Indicator (KPI) and ability to graphical data presentation.
- Technical / theoretical understanding of physical measurement equipment
- Ability to deliver written reports and technical presentations.
Desirable
- Academic thesis or capstone project in formal field of study.
- Six Sigma Green Belt
- Technical knowledge of process, calculation and measurement techniques demanded by both engineering and legislative requirements.
- Experience in measurement science.
- Quantitative understanding of equipment measurement sensitivity
Additional information:
This role is on a contract basis and is Inside IR35.
The services advertised by Premea Limited for this vacancy are those of an Employment Business.
Premea is a specialist IT & Engineering recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors.
Data Scientist - Energy Systems Validation (Energy Sector Experience Required)
Posted 3 days ago
Job Viewed
Job Description
GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world?
We are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, primarily focusing on validating AI/ML models for grid innovation applications. This role will involve rigorous testing, validation, and verification of AI/ML models with grid data to ensure they meet accuracy, performance, and operational standards within energy systems. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate closely with Grid Automation (GA) product lines, R&D teams, product management, and other GA functions.
The ideal candidate will have significant experience in the energy sector, specifically in energy systems and grid automation, or in related domains such as smart infrastructure (e.g., connected buildings, utilities) or industrial automation (e.g., SCADA, PLC systems, Industry 4.0). They should have a strong understanding of how to apply data science and data engineering techniques to develop, validate, and enhance AI/ML models within these complex and data-rich environments.
**Job Description**
**Essential Responsibilities:**
+ Design and conduct experiments to test and validate AI/ML models in the context of energy systems and grid automation applications.
+ Establish clear validation frameworks to ensure models meet required performance standards and business objectives.
+ Establish test procedures to validate models with real and simulated grid data.
+ Analyze model performance against real-world data to ensure accuracy, reliability, and scalability.
+ Identify and address discrepancies between expected and actual model behavior, providing actionable insights to improve model performance.
+ Implement automated testing strategies and pipeline to streamline model validation processes.
+ Collaborate with Data Engineers and ML Engineers to improve data quality, enhance model performance, and ensure efficient deployment of validated models.
+ Ensure that validation processes adhere to data governance policies and industry standards.
+ Communicate validation results, insights, and recommendations clearly to stakeholders, including product managers and leadership teams.
**Must-Have Requirements**
+ PhD, Master's, or Bachelor's degree in Data Science, Computer Science, Electrical Engineering, or a related field with hands-on experience in model validation.
+ Significant experience working in the energy sector, particularly in energy systems, grid automation, or smart grid technologies.
+ Solid experience in validating AI/ML models, ensuring they meet business and technical requirements.
+ Strong knowledge of statistical techniques, model performance metrics, and validation methodologies for AI/ML models.
+ Proficiency in programming languages such as Python, R, or MATLAB.
+ Experience with data wrangling, feature engineering, and preparing datasets for model validation.
+ Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model evaluation techniques.
+ Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment of models in cloud environments.
+ Experience with data visualization tools such as Tableau, Power BI, or similar to effectively present validation results and insights.
**Nice-to-Have Requirements:**
+ Familiarity with big data tools and technologies, such as Hadoop, Kafka, and Spark.
+ Familiarity with data governance frameworks and validation standards in the energy sector.
+ Knowledge of distributed computing environments and model deployment at scale.
+ Strong communication skills, with the ability to clearly explain complex validation results to non-technical stakeholders.
At GE Vernova - Grid Automation, you will have the opportunity to work on cutting-edge projects that shape the future of energy. We offer a collaborative environment where your expertise will be valued, and your contributions will make a tangible impact. Join us and be part of a team that is driving innovation and excellence in control systems.
**About** **GEV** **Grid Solutions:**
At GEV Grid Solutions we are electrifying the world with advanced grid technologies. As leaders in the energy space our goal is to accelerate the transition for a more energy efficient grid to full fill the needs of tomorrow. With a focus on growth and sustainability GE Grid Solutions plays a pivotable role in integrating Renewables onto the grid to drive to carbon neutral. In Grid Solutions we help enable the transition for a greener more reliable Grid. GE Grid Solutions has the most advanced and comprehensive product and solutions portfolio within the energy sector.
**Why we come to work:**
At GEV, our engineers are always up for the challenge - and we're always driven to find the best solution. Our projects are unique and interesting, and you'll need to bring a solution-focused, positive approach to each one to do your best. Surrounded by committed, loyal colleagues, if you can dare to bring your ingenuity and desire to make an impact, you'll be exposed to game-changing, diverse projects that truly allow you to play your part in the energy transition.
**What we offer:**
A key role in a dynamic, international working environment with a large degree of flexibility of work agreements
Competitive benefits, and great development opportunities - including private health insurance.
**Additional Information**
**Relocation Assistance Provided:** No
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Data Quality Analyst
Posted 8 days ago
Job Viewed
Job Description
Data Quality Analyst
Permanent
Location: Home / Gloucester (on site once a week)
Salary: 30,000 - 36,000 (+ excellent benefits)
Skills: T-SQL, Data Quality, GDPR
We are looking to recruit a Data Quality Analyst for a leading public sector organisation undergoing a significant IT transformation.
In this role, you'll focus on data validation, profiling, and cleansing , helping ensure that information across core systems is accurate, complete, and reliable. You'll work across multiple teams to enhance how data is managed and reported, supporting the organisation's operational and strategic goals.
This is a hybrid role and you will be required to work on site in Gloucester once a week.
What you'll be doing:
- Investigating data inconsistencies and applying corrections to improve accuracy and completeness
- Writing T-SQL queries to interrogate and validate data
- Working closely with stakeholders to ensure data quality standards are met
- Contributing to root cause analysis and helping define long-term improvements
- Supporting quality assurance processes by maintaining documentation such as data dictionaries and audit trails
What we're looking for:
- Strong experience in data validation, cleansing, and profiling
- Confident in writing T-SQL queries for data analysis
- Awareness of GDPR, data protection, and information security
- Ability to communicate complex data issues clearly to technical and non-technical audiences
- A logical, analytical approach and attention to detail
- Experience with records management systems is desirable
Data Quality Analyst
Posted 11 days ago
Job Viewed
Job Description
Data Quality Analyst
Permanent
Location: Home / Gloucester (on site once a week)
Salary: 30,000 - 36,000 (+ excellent benefits)
Skills: T-SQL, Data Quality, GDPR
We are looking to recruit a Data Quality Analyst for a leading public sector organisation undergoing a significant IT transformation.
In this role, you'll focus on data validation, profiling, and cleansing , helping ensure that information across core systems is accurate, complete, and reliable. You'll work across multiple teams to enhance how data is managed and reported, supporting the organisation's operational and strategic goals.
This is a hybrid role and you will be required to work on site in Gloucester once a week.
What you'll be doing:
- Investigating data inconsistencies and applying corrections to improve accuracy and completeness
- Writing T-SQL queries to interrogate and validate data
- Working closely with stakeholders to ensure data quality standards are met
- Contributing to root cause analysis and helping define long-term improvements
- Supporting quality assurance processes by maintaining documentation such as data dictionaries and audit trails
What we're looking for:
- Strong experience in data validation, cleansing, and profiling
- Confident in writing T-SQL queries for data analysis
- Awareness of GDPR, data protection, and information security
- Ability to communicate complex data issues clearly to technical and non-technical audiences
- A logical, analytical approach and attention to detail
- Experience with records management systems is desirable
Data Quality Analyst
Posted 6 days ago
Job Viewed
Job Description
Data Quality Analyst
Permanent
Location: Home / Gloucester (on site once a week)
Salary: £30,000 - £36,000 (+ excellent benefits)
Skills: T-SQL, Data Quality, GDPR
We are looking to recruit a Data Quality Analyst for a leading public sector organisation undergoing a significant IT transformation.
In this role, you'll focus on data validation, profiling, and cleansing , helping ensure that information acr.
WHJS1_UKTJ
Data Quality Lead Engineer
Posted 5 days ago
Job Viewed
Job Description
Data Quality & Management Lead Engineer
Ref: (phone number removed)
Umbrella Rate: £28.30/hr (inside IR35)
Are you ready to take your engineering career to the next level? Imagine being part of a team at the forefront of electrified propulsion systems, where innovation meets cutting-edge technology. This is your opportunity to become a Data Quality & Management Lead Engineer and play a pivotal role in shaping the future of hybrid and fully electric powertrains. Join a company that values precision, creativity, and excellence, offering you the chance to contribute to world-class projects in a dynamic and supportive environment. If you're passionate about data management, validation and driving engineering decisions, this role is tailor-made for you.
What You Will Do:
• Lead data quality validation and management across Electric Machine, Electric Drive Unit, Inverter, Battery, and other test environments.
• Ensure timely, accurate, and accessible test data to support critical engineering decisions.
• Develop and deploy data piping, validation tools, and a federated data platform.
• Conduct correlation exercises to ensure test facilities deliver repeatable and reproducible measurements.
• Drive continuous improvement in measurement quality by reviewing equipment, systems, and methods.
• Coach and mentor team members, sharing best practices in data validation and management.
You will be working towards becoming the Subject Matter Expert for data management and validation, delivering a training package to develop others in order to improve the data quality produced by the team.
What You Will Bring:
• Experience designing applications in programming languages such as Python.
• Knowledge of building data systems, pipelines, and validation processes in cloud platforms like AWS or Google Cloud.
• Strong data analysis skills, including hypothesis testing, uncertainty analysis and process variation.
• Technical understanding of physical measurement equipment and its applications.
• Proven ability to create and present data-driven reports and visualisations.
• Six Sigma Green Belt (desirable).
In this role, you will be instrumental in ensuring the company achieves its goal of delivering electrifying performance and peerless refinement in propulsion systems. Your expertise will help shape a data-driven culture, enabling the engineering team to achieve right-first-time results and meet key performance indicators. This is your chance to work on innovative projects that push the boundaries of technology while collaborating with a team of like-minded professionals who are just as passionate about engineering excellence as you are.
Location:
This role is based in Whitley, offering a fantastic opportunity to work in a hub of engineering innovation and excellence.
Interested?
Don't miss out on this exciting opportunity to make an impact in the electrified propulsion industry. Apply now to become the next Lead Engineer (Data Quality & Management) and take your career to new heights!
Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.
In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Be The First To Know
About the latest Data validation Jobs in United Kingdom !
Data Quality Lead Engineer
Posted 5 days ago
Job Viewed
Job Description
Data Quality & Management Lead Engineer
Ref: (phone number removed)
Umbrella Rate: £28.30/hr (inside IR35)
Are you ready to take your engineering career to the next level? Imagine being part of a team at the forefront of electrified propulsion systems, where innovation meets cutting-edge technology. This is your opportunity to become a Data Quality & Management Lead Engineer and play a pivotal role in shaping the future of hybrid and fully electric powertrains. Join a company that values precision, creativity, and excellence, offering you the chance to contribute to world-class projects in a dynamic and supportive environment. If you're passionate about data management, validation and driving engineering decisions, this role is tailor-made for you.
What You Will Do:
• Lead data quality validation and management across Electric Machine, Electric Drive Unit, Inverter, Battery, and other test environments.
• Ensure timely, accurate, and accessible test data to support critical engineering decisions.
• Develop and deploy data piping, validation tools, and a federated data platform.
• Conduct correlation exercises to ensure test facilities deliver repeatable and reproducible measurements.
• Drive continuous improvement in measurement quality by reviewing equipment, systems, and methods.
• Coach and mentor team members, sharing best practices in data validation and management.
You will be working towards becoming the Subject Matter Expert for data management and validation, delivering a training package to develop others in order to improve the data quality produced by the team.
What You Will Bring:
• Experience designing applications in programming languages such as Python.
• Knowledge of building data systems, pipelines, and validation processes in cloud platforms like AWS or Google Cloud.
• Strong data analysis skills, including hypothesis testing, uncertainty analysis and process variation.
• Technical understanding of physical measurement equipment and its applications.
• Proven ability to create and present data-driven reports and visualisations.
• Six Sigma Green Belt (desirable).
In this role, you will be instrumental in ensuring the company achieves its goal of delivering electrifying performance and peerless refinement in propulsion systems. Your expertise will help shape a data-driven culture, enabling the engineering team to achieve right-first-time results and meet key performance indicators. This is your chance to work on innovative projects that push the boundaries of technology while collaborating with a team of like-minded professionals who are just as passionate about engineering excellence as you are.
Location:
This role is based in Whitley, offering a fantastic opportunity to work in a hub of engineering innovation and excellence.
Interested?
Don't miss out on this exciting opportunity to make an impact in the electrified propulsion industry. Apply now to become the next Lead Engineer (Data Quality & Management) and take your career to new heights!
Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.
In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Senior Data Quality Officer
Posted 18 days ago
Job Viewed
Job Description
Senior Data Quality Officer-Estates Management-Higher Education
Senior Data Quality Officer/Specialist with expereince of working on data improvement programmes within estates, is urgently needed to support our leading higher education client improve their estates data management.
The Senior Data Quality Officer/Specialist will be tasked with engaging with a wide variety of stakeholders across all E.
WHJS1_UKTJ
Data Quality & Management Engineer
Posted 2 days ago
Job Viewed
Job Description
Certain Advantage are recruiting on behalf of a globally renowned automotive brand for a Data Quality & Management Engineer to take responsibility for providing timely, accurate, secured and accessible test data for the wider engineering group to enable efficient engineering decisions to be made.
The engineering group need.