At a Glance
- Tasks: Ensure data quality and governance during the migration to a cloud-based platform.
- Company: Join a leading UK Utilities organisation transforming its data management.
- Benefits: Competitive day rate, hybrid working, and potential contract extension.
- Other info: Opportunity to work with cutting-edge technology in a dynamic environment.
- Why this job: Be part of a crucial project that shapes the future of asset management.
- Qualifications: Experience in data governance and enterprise data migration required.
The predicted salary is between 60750 - 74250 £ per year.
FWA is supporting a major UK Utilities organisation operating across Kent, Sussex, Surrey, Hampshire, and Berkshire in the migration of its IBM Maximo Enterprise Asset Management (EAM) platform from an on-premise environment to a cloud-based solution. The programme includes data migration, process transformation, application modernisation, integrations, and cloud adoption, with Oracle serving as the underlying database platform. We are seeking experienced consultants and specialists to join the programme on a 12-month contract, commencing August 2026, with the potential for extension.
The Data Steward will play a critical role in ensuring the quality, integrity, governance, and readiness of asset and maintenance data during the migration from the on-premise IBM Maximo environment to the cloud platform. The successful candidate will work closely with business stakeholders, data migration teams, and Oracle database specialists to prepare data for successful migration and long-term governance.
Key Responsibilities:
- Define and enforce data quality standards.
- Support asset and maintenance data cleansing activities.
- Identify and resolve data inconsistencies and duplicates.
- Maintain data governance processes and documentation.
- Collaborate with migration teams during data extraction, transformation, and loading activities.
- Support data validation and reconciliation exercises.
- Work with business SMEs to ensure data accuracy and completeness.
- Assist in defining future-state data ownership and governance structures.
- Support migration rehearsals and cutover activities.
Mandatory Skills:
- Experience in data governance or data stewardship roles.
- Strong understanding of data quality management principles.
- Experience with enterprise data migration projects.
- Strong analytical and problem-solving skills.
- Ability to work with business and technical stakeholders.
- Experience working with large datasets.
Preferred Skills:
- IBM Maximo experience.
- Oracle database knowledge.
- Utilities sector background.
- Knowledge of master data management practices.
Contract Duration: 12 months
Start Date: ASAP (August 2026)
Location: London (South)
Working Pattern: Hybrid
Office Attendance: 2-3 times a week
Sector: Energy & Utilities
Right to Work: UK work authorisation required
Data Steward (IBM MAximo Cloud Migration) employer: FWA Consultancy
Join a leading UK Utilities organisation that values innovation and collaboration, offering a dynamic work culture where your contributions as a Data Steward will directly impact the migration to a cloud-based IBM Maximo platform. With a focus on employee growth, you will have access to ongoing training and development opportunities, while enjoying the flexibility of a hybrid working model in vibrant London. This role not only promises meaningful work but also the chance to be part of a transformative project in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Steward (IBM MAximo Cloud Migration)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like FWA Consultancy before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like FWA Consultancy.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like FWA Consultancy.
We think you need these skills to ace Data Steward (IBM MAximo Cloud Migration)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at FWA Consultancy, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to FWA Consultancy, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab FWA Consultancy’s attention and show the tangible impact of your work.
How to prepare for a job interview at FWA Consultancy
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at FWA Consultancy.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at FWA Consultancy.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at FWA Consultancy.
