At a Glance
- Tasks: Lead the design and architecture of ETL frameworks for clinical data migrations.
- Company: Join a forward-thinking healthcare organisation in Bath.
- Benefits: Competitive daily rate, flexible onsite work, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enhance your technical leadership skills.
- Why this job: Make a real difference in healthcare by managing critical data migration projects.
- Qualifications: Experience in data migration, ETL processes, and a background in healthcare.
The predicted salary is between 109000 - 109000 £ per year.
Duration: 4 months (initially)
Location: Bath – onsite 2/3 days per week
Compensation: £545 per day inside IR35 (umbrella only)
Clearance: Active SC clearance required
Technical Leadership
- Own the architecture and design of ETL frameworks for clinical data migrations
- Define migration patterns, tooling strategy, and deployment approach (batch, real-time, hybrid)
- Provide technical governance across all migration workstreams
- Lead architecture reviews, design assurance, and technical decision‑making
- Mentor and guide Data Engineers, Architects, and SMEs across the programme
Data Strategy & Planning
- Define end‑to‑end data migration strategy, including:
- Data extraction from legacy clinical systems
- Transformation rules and mapping specifications
- Data validation, reconciliation, and quality control frameworks
- Establish data standards, models, and governance principles aligned to healthcare regulations
- Develop migration roadmaps, including phasing, cutover strategy, and rollback planning
Clinical Data Expertise
- Apply knowledge of clinical data models, terminologies, and standards (e.g., patient records, diagnostics, outcomes)
- Ensure compliance with healthcare data regulations (e.g., GDPR, NHS data standards if UK‑based)
- Work closely with clinicians, analysts, and stakeholders to validate data interpretation
- Support safe handling of sensitive patient data and ensure auditability
ETL & Data Engineering
- Design and oversee ETL pipelines for large‑scale structured and unstructured clinical datasets
- Select and implement appropriate tools (e.g., Azure Data Factory, Informatica, SQL‑based tooling)
- Ensure performance, scalability, and resilience of data processing workflows
- Oversee data cleansing, enrichment, and transformation logic
Data Quality & Governance
- Define data quality frameworks, including rules, thresholds, and monitoring processes
- Lead data profiling, cleansing, and remediation activities
- Establish reconciliation and verification processes ensuring completeness and accuracy
- Implement audit trails and data lineage capabilities
Stakeholder Management
- Act as the primary technical authority for migration with business and clinical stakeholders
- Translate complex technical concepts into business‑friendly language
- Collaborate with programme managers, vendors, and clinical teams
- Support risk management and issue resolution throughout delivery
Requirements
- Medical knowledge/background (GCM6 required)
Data Migration Architect in Bath employer: Sivara GmbH
As a Data Migration Architect in Bath, you will join a forward-thinking organisation that prioritises innovation and excellence in healthcare data management. With a strong emphasis on employee development, you will have the opportunity to mentor and lead teams while working in a collaborative environment that values your expertise. The company offers competitive compensation and fosters a culture of continuous learning, making it an ideal place for professionals seeking meaningful and impactful work in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Architect in Bath
✨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 Sivara GmbH before they're even advertised!
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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
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We think you need these skills to ace Data Migration Architect in Bath
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sivara GmbH, 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 Sivara GmbH, 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 Sivara GmbH’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sivara GmbH
✨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 Sivara GmbH.
✨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 Sivara GmbH.
✨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 Sivara GmbH.
