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- Tasks: Build scalable data models and lead end-to-end model development for a major telecom client.
- Company: Join a dynamic telecom company in Central London with a hybrid work model.
- Benefits: Competitive day rate, flexible working, and the chance to work on impactful projects.
- Why this job: Make a real difference by transforming data into reliable insights for key business teams.
- Qualifications: Expert SQL skills, experience with GCP BigQuery, and strong analytical abilities required.
- Other info: 6-month contract with opportunities for growth and collaboration in a fast-paced environment.
Contract Role: Analytics Engineer – Telecom | Central London (Hybrid)
Location: Central London — 2 days per week onsite
Contract: 6 months initially
Day Rate: £450–£540 (Inside IR35)
Start: ASAP
We’re hiring an Analytics Engineer to support a major telecom client. This role sits between data engineering and analytics, building clean, scalable data models that fuel reliable insights across commercial, finance, and planning teams.
What You’ll Do
- Build scalable data models (marts, business layers, OBTs) that act as a single source of truth.
- Lead end‑to‑end model development: requirements → build → testing → documentation → CI/CD deployment.
- Uphold high coding standards in SQL and dbt; review and maintain clean, well‑structured analytics code.
- Ensure data quality & PII protection using tests, validation, and secure handling practices.
- Troubleshoot data issues across source → transformation → BI layers, owning fixes end‑to‑end.
- Optimise & refactor existing models for performance and cost (BigQuery).
- Manage orchestration & environments, including dev/prod troubleshooting.
- Analyse new data sources and design models accordingly.
- Communicate clearly with stakeholders, explaining technical concepts in plain language.
- Own technical debt, documenting issues and advocating for resolution.
What You Bring
Essential
- Expert SQL and advanced query writing
- Strong data modelling (dimensional, marts)
- Hands‑on experience with GCP BigQuery
- Strong dbt Cloud/Core experience
- Excellent analytical, debugging, and problem‑solving skills
- Ability to trace lineage and diagnose issues independently
- Experience with CI/CD, branching, merging, conflict resolution
- Understanding of data quality frameworks & PII standards
- Clear communication with technical and non‑technical stakeholders
Desirable
- Broader knowledge of modelling best practices
- Agile delivery experience
- Exposure to BI tools (Tableau etc.)
- Query performance tuning & cloud cost optimisation
- Strong ownership and independent working
- Mentoring or community contribution experience
If you have the required skills & experience, please apply promptly to be considered.
Analytics Engineer in Wakefield employer: Queen Square Recruitment
Contact Detail:
Queen Square Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in Wakefield
✨Tip Number 1
Network like a pro! Reach out to your connections in the telecom and analytics space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. Use platforms like GitHub to share your code and demonstrate your SQL and dbt expertise. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Be ready to discuss how you've tackled data issues or optimised models in the past. Practising your explanations will help you communicate complex concepts clearly to both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our listings and get your application in early to increase your chances of landing that dream role.
We think you need these skills to ace Analytics Engineer in Wakefield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your experience with SQL, data modelling, and any relevant projects that showcase your skills in building scalable data models.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this contract role. Share specific examples of how you've tackled similar challenges in the past and how you can bring value to our telecom client.
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies! Make sure to mention your hands-on experience with GCP BigQuery and dbt, as well as any CI/CD practices you've implemented. We love seeing those skills in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Queen Square Recruitment
✨Know Your Data Models
Make sure you understand the different types of data models, especially dimensional models and marts. Be ready to discuss how you've built scalable data models in the past and how they served as a single source of truth for your team.
✨Show Off Your SQL Skills
Brush up on your SQL and be prepared to demonstrate your query writing prowess. You might be asked to solve a problem on the spot, so practice writing queries that are clean and efficient.
✨Communicate Like a Pro
Since this role involves explaining technical concepts to non-technical stakeholders, practice simplifying complex ideas. Think about examples from your past where you successfully communicated technical details to a diverse audience.
✨Prepare for Troubleshooting Scenarios
Be ready to discuss how you've handled data issues in the past. Prepare examples that showcase your analytical and debugging skills, particularly how you traced lineage and diagnosed problems independently.