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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 skills, and effective communication.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
The predicted salary is between 36000 - 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 England employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data modelling field and let them know you're on the hunt for opportunities. A friendly chat can lead to referrals or insider info about openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Snowflake and data governance. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling scenarios and challenges. Be ready to discuss how you've tackled messy data in the past and how you can help Intelix.AI turn it into valuable products. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Modeler in England
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 align with 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 production data products and how you’ve tackled challenges in data governance.
Showcase Your Communication Skills: Since clear stakeholder communication is key, make sure to highlight any experiences where you've effectively collaborated with Product and Engineering teams. We love seeing examples of outcome-driven approaches!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
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 delivered production data products.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled messy, multi-source data challenges in the past. Highlight your approach to turning unstructured data into structured formats, and be ready to explain your methods for ensuring data quality and governance.
✨Communicate Clearly and Effectively
Since clear stakeholder communication is a must-have, practice articulating your thoughts on data products and governance. Use straightforward language to explain complex concepts, and be prepared to discuss how you’ve collaborated with product and engineering teams.
✨Be Ready to Discuss Governance Practices
Familiarise yourself with lineage and metadata practices, especially if you have experience with tools like Collibra or Atlan. Be prepared to share how you've implemented change and governance guardrails that are practical and user-friendly.
