At a Glance
- Tasks: Lead a project to extract, clean, and migrate contracts into a new data hub.
- Company: Join a forward-thinking company transforming its contract management processes.
- Benefits: Short-term contract with competitive day rate and remote work flexibility.
- Other info: Opportunity to work on a high-visibility project with potential for future roles.
- Why this job: Make a real impact by improving data quality and accuracy in a dynamic environment.
- Qualifications: Strong SQL and scripting skills, plus experience in data profiling and cleansing.
Short-Term Contract | Approx. 30 Days | Day Rate - Outside IR35 | Remote (UK)
About the Role
Company is building a brand-new internal contract hub to replace its legacy contract tracking tools. Ahead of the technical build, they need a data-savvy analyst to lead a time-boxed project: extracting, profiling, and migrating their entire back-catalogue of executed contracts into the new repository - cleaned, de-duplicated, and mapped against a proper metadata schema. This is a data quality and data engineering problem as much as anything else. You'll be working across multiple disconnected sources - eSignature platforms, a legacy SQL database, SharePoint, and old ticketing systems - to build a single, reconciled, trustworthy dataset.
What You'll Be Doing
- Source discovery and profiling - inventory every source system, produce actual record/document counts, and assess data quality, access routes, and risk (week one deliverable)
- Scripted extraction - write and run scripts (SQL and beyond) to pull documents and structured/unstructured metadata in bulk from eSignature platforms, a legacy SQL database, SharePoint/shared drives, and a contract management system
- Data cleansing and de-duplication - consolidate everything into a single staging dataset, applying a documented, defensible rule for which record wins where duplicates exist
- Metadata schema and mapping - build and populate a metadata register against agreed core fields (contract type, counter party, entity, effective/end/renewal dates, value, governing document reference, source system), explicitly flagging gaps rather than inferring or leaving blank
- Validation via sample migration - run a sample batch into the live repository to test and refine the mapping logic and transformation rules before scaling up
- Full-scale load - execute the bulk migration into the new repository structure, correctly mapped against the agreed schema and naming convention
- Documentation and handover - produce a clear data lineage/handover note: what was migrated, what couldn't be and why, anomalies parked for decision, and the scripts and logic used, so the pipeline is repeatable and auditable
What You'll Need
- Strong data extraction and scripting skills (SQL plus a scripting language such as Python) - this is a scripted, repeatable-process role first, with manual review reserved for genuine exceptions
- Experience with data profiling, cleansing, de-duplication, and metadata/schema mapping across disparate, messy sources
- Comfort reconciling structured and unstructured data from multiple systems into one clean data set
- A methodical, detail-obsessed approach - this role is about data accuracy, traceability, and repeatability, not shortcuts
- Good judgement on when to escalate rather than infer, especially with ambiguous, incomplete, or sensitive records
- Experience handling confidential or commercially sensitive data professionally and securely
Data Migration Engineer in Reading employer: All The Top Bananas
As a Data Migration Engineer with us, you'll be part of a forward-thinking team dedicated to transforming our contract management processes. We offer a collaborative remote work culture that prioritises employee growth and development, ensuring you have the resources and support needed to excel in your role. Join us for a meaningful opportunity to make a significant impact while enjoying the flexibility of working from anywhere in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Engineer in Reading
✨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 All The Top Bananas 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.
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We think you need these skills to ace Data Migration Engineer in Reading
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at All The Top Bananas, 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 All The Top Bananas, 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 All The Top Bananas’s attention and show the tangible impact of your work.
How to prepare for a job interview at All The Top Bananas
✨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 All The Top Bananas.
✨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 All The Top Bananas.
✨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 All The Top Bananas.
