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- Tasks: Transform messy data into valuable products and collaborate with teams to deliver results quickly.
- Company: Join Intelix.AI, a forward-thinking tech company focused on innovation.
- Benefits: Competitive pay up to £500 p/d, flexible contract, and potential for extension.
- Why this job: Make a real impact by shaping data products that drive business success.
- Qualifications: 8+ years in data modelling, strong Snowflake and SQL skills required.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
The predicted salary is between 40000 - 60000 £ per year.
This range is provided by Intelix.AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range: Up to £500 p/d (Negotiable)
This is a Greenfield build to turn messy, multi-source data (docs/filings + structured) into dependable, discoverable data products that ship value fast involving:
- Data product contracts
- Harmonised feed/mart
- Snowflake with lineage/glossary and KPI dashboard (adoption, latency, completeness)
Accountabilities:
- Partner with Product to define personas and success metrics; ship thin-slice products in weeks.
- Design for APIs/feeds consumption; keep schemas stable while iterating safely.
- Land lineage/metadata and CDEs; make models discoverable (Collibra or similar).
- Change & governance guardrails that teams can actually use, not shelfware.
- De-risk unstructured→structured mapping with confidence scores and traceable provenance.
- Coach squads on domain boundaries, keys, SCDs, and PII handling.
Must-Haves:
- 8+ years in data modelling/architecture delivering production data products.
- Strong Snowflake (or equivalent cloud DW), SQL, and contract-first design.
- Proven lineage/metadata practice (Collibra/Atlan/DataHub) and governance at pace.
- Comfortable harmonising documents/filings/events with structured entities.
- Clear stakeholder comms with Product/Engineering; outcome-driven, not academic.
Nice-to-Haves:
- Data Vault 2.0, MDM (e.g., Profisee), and BI productization experience.
Seniority Level: Mid-Senior level
Employment Type: Contract
Job Function: Information Technology
Data Modeler in London employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data modelling. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through a portfolio or GitHub. We love seeing real examples of your work, especially when it comes to data products and models. It’s a great way to stand out from the crowd!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that dream job!
We think you need these skills to ace Data Modeler in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeler role. Highlight your experience with data modelling and architecture, especially your work with Snowflake and SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects where you've delivered data products and how you’ve collaborated with product teams. Let us know your passion for data!
Showcase Your Achievements: When listing your experience, focus on achievements rather than just responsibilities. Use metrics to demonstrate your impact, like how you improved data quality or reduced latency in previous roles. We love numbers that tell a story!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Intelix.AI
✨Know Your Data Inside Out
Make sure you’re well-versed in data modelling and architecture principles. Brush up on your experience with Snowflake and SQL, as these will likely come up during the interview. Be ready to discuss specific projects where you've turned messy data into structured products.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially around harmonising unstructured data. Highlight your approach to ensuring data quality and governance, and be ready to explain how you’ve implemented change effectively.
✨Communicate Clearly with Stakeholders
Since clear communication is key, practice explaining complex concepts in simple terms. Think about how you would convey your ideas to both technical and non-technical stakeholders. This will demonstrate your ability to bridge gaps between teams.
✨Be Ready for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data lineage or governance. Prepare by thinking through potential scenarios and how you would approach them, focusing on practical solutions that align with the company’s goals.
