At a Glance
- Tasks: Support data governance and improvement initiatives in a dynamic engineering environment.
- Company: Join a leading engineering firm focused on innovative data management.
- Benefits: Competitive hourly rate, flexible hours, and opportunities for professional growth.
- Other info: Flexible work environment with a focus on collaboration and learning.
- Why this job: Make a real impact on how data is structured and utilised across the business.
- Qualifications: Experience with data management processes and basic Python programming skills.
The predicted salary is between 62400 - 62400 € per year.
Contract: Hours: 35 hours per week (4.5 days, flexible between 7am–7pm)
Rate: £40.00 per hour Umbrella / £29.89 per hour PAYE
Security Clearance: BPSS+ (to be completed prior to start)
Our client is seeking a Data Management Engineer to support ongoing data governance and improvement initiatives within a large-scale engineering environment. This is a fantastic opportunity to work on key data management projects, driving improvements in how data is structured, controlled, and utilised across operational domains.
Key Responsibilities of the Data Management Engineer:
- Support the implementation of data management processes across operational domains
- Ensure effective control, organisation, and governance of business data
- Contribute to data improvement projects (e.g. documentation, site pages, data structures)
- Assist in the preparation of data governance guidelines and communication materials
- Work closely with stakeholders across the business to support data-related activities
- Provide basic reporting and data analytics support
Required Skills:
- Strong experience with Windows command line and scripting
- Basic data analytics and reporting experience
- Solid IT skills with an ability to manage and control data effectively
- Flexible, adaptable approach in a fast-paced environment
- Knowledge of data management processes
- Experience with business data modelling
- Basic Python programming
- Experience with Google Workspace / Sites management
If you think this could be a new and exciting career opportunity for you and you would like to learn more or just for an initial, no-obligation conversation please contact me.
Data Management Developer employer: Belcan
Join a dynamic and innovative team as a Data Management Engineer, where you will play a crucial role in enhancing data governance within a large-scale engineering environment. Our company fosters a collaborative work culture that values flexibility and adaptability, offering 35 hours per week with the option for a 4.5-day work schedule. With a strong focus on employee growth and development, we provide opportunities to engage in meaningful projects that drive data improvement initiatives, making this an excellent place for those looking to advance their careers while contributing to impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management Developer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its data management practices. Be ready to discuss how your skills align with their needs, especially around data governance and improvement initiatives.
✨Tip Number 3
Showcase your technical skills! If you’ve got experience with Windows command line, Python, or Google Workspace, make sure to highlight these during conversations. Practical examples of your work can really impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we’re always looking for passionate individuals to join our team and help drive data management improvements.
We think you need these skills to ace Data Management Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data management processes and any relevant projects you've worked on. We want to see how your skills align with the key responsibilities of the Data Management Engineer role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data governance and improvement initiatives. Share specific examples of how you've contributed to similar projects in the past, so we can see your enthusiasm and expertise.
Show Off Your Technical Skills:Don’t forget to mention your experience with Windows command line, basic Python programming, and Google Workspace. We’re looking for someone who can manage and control data effectively, so highlight any relevant technical skills you have!
Apply Through Our Website:We encourage you to apply directly through our website using the Easy Apply link. This way, we can process your application quickly and get in touch with you as soon as possible!
How to prepare for a job interview at Belcan
✨Know Your Data Management Basics
Before the interview, brush up on your knowledge of data management processes. Be ready to discuss how you would implement these processes in a large-scale engineering environment, as this will show your understanding of the role and its responsibilities.
✨Showcase Your Technical Skills
Make sure to highlight your experience with Windows command line, scripting, and basic Python programming. Prepare examples of how you've used these skills in past projects, as this will demonstrate your technical capability and problem-solving skills.
✨Prepare for Stakeholder Interaction
Since the role involves working closely with stakeholders, think of instances where you've successfully collaborated with others. Be ready to share how you communicated complex data-related concepts to non-technical team members, showcasing your ability to bridge the gap between technical and non-technical audiences.
✨Be Ready for Data Improvement Discussions
Expect questions about data improvement projects you've been involved in. Prepare to discuss specific examples, such as how you contributed to documentation or data structures, and the impact of your contributions on the overall data governance strategy.
