Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage data sources, validate quality, and develop data tools for testing environments.
- Company: Join a leading tech firm focused on innovative data solutions and quality assurance.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative culture.
- Why this job: Be part of a dynamic team driving data excellence and continuous improvement in technology.
- Qualifications: Strong analytical skills, programming knowledge (preferably Python), and a passion for data management.
- Other info: Opportunity to coach and mentor others while working with cutting-edge cloud technologies.
The predicted salary is between 36000 - 60000 £ per year.
Looking for Data Management Specialist deployed to Onsite Client OEM:
- JD: 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 in order 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 in order 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.
- 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.
Data Management Specialist employer: Onward Technologies Limited
Contact Detail:
Onward Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Specialist
✨Tip Number 1
Familiarise yourself with the specific data management tools and technologies mentioned in the job description, such as AWS and Google Cloud. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in Python, as it's preferred for this role. Consider working on personal projects or contributing to open-source projects that involve data pipelines and validation to showcase your abilities.
✨Tip Number 3
Prepare to discuss your experience with data quality validation and how you've implemented best practices in previous roles. Be ready to provide examples of how you've improved data quality or efficiency in past projects.
✨Tip Number 4
Network with professionals in the data management field, especially those who work with data quality and validation. Engaging with industry experts can provide insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Management Specialist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Management Specialist. Familiarise yourself with data acquisition, quality validation, and data visualisation as outlined in the job description.
Tailor Your CV: Highlight your relevant experience in data management, programming (especially Python), and cloud platforms like AWS or Google Cloud. Use specific examples that demonstrate your skills in data quality reviews and measurement evaluation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's goals. Mention your experience with data systems and your commitment to continuous improvement in data quality.
Showcase Your Technical Skills: Be sure to include any technical skills related to data analysis, hypothesis testing, and process variation. If you have experience coaching others in data validation and management, mention this as it aligns with the team's growth mindset.
How to prepare for a job interview at Onward Technologies Limited
✨Know Your Data Management Fundamentals
Brush up on your knowledge of data sources, data acquisition, and data quality validation. Be prepared to discuss specific methodologies you've used in the past and how they relate to the role.
✨Showcase Your Technical Skills
Since programming in Python and working with cloud platforms like AWS or Google Cloud is essential, be ready to demonstrate your proficiency. Consider preparing a small project or example that highlights your skills in building data systems and pipelines.
✨Emphasise Continuous Improvement
The role requires a focus on improving measurement quality and data processes. Be prepared to share examples of how you've identified areas for improvement in previous roles and the impact those changes had on data quality.
✨Prepare for Team Collaboration Questions
As the position involves working closely with various teams and coaching others, think about your experiences in collaborative environments. Be ready to discuss how you’ve facilitated knowledge sharing and supported team members in their development.
