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For Companies At a Glance
- Tasks: Build and optimise data pipelines for impactful analytics and decision-making.
- Company: Join a dynamic team in a leading London tech company.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Blend your passion for data analysis and engineering in a high-impact role.
- Qualifications: Strong SQL and Python skills, with experience in ETL/ELT pipelines.
- Other info: Collaborate closely with Data Science and Product teams in a vibrant environment.
The predicted salary is between 58200 - 121800 £ per year.
Location: London (Hybrid – 3 days onsite)
About the Role
I am looking for a Senior Analytics Engineer to join a cross‑functional product squad working on high‑impact, data‑driven solutions. This position blends data analysis with data engineering, making it ideal for someone who enjoys owning the full lifecycle from data discovery through to production‑ready pipeline development. If you see yourself as someone who likes to work across both sides of analytical problem‑solving and engineering delivery, this Senior Analytics Engineer role will suit you perfectly.
What You’ll Do
- Build and optimise production‑ready data pipelines for analytics, reporting, and operational decision‑support.
- Connect to and analyse data from relational databases, APIs, CSV, YML, XLS and other sources.
- Improve and modernise legacy datasets, addressing data quality, completeness, and consistency.
- Define KPIs, metrics, and analytical logic used across dashboards and BI tools.
- Prepare and validate datasets used by Data Scientists for AI and ML solutions.
- Ensure all data solutions are scalable, reliable, and production‑ready.
Skills & Experience Needed
- Strong SQL and Python (Pandas) for data processing and analytics.
- Experience building or maintaining ETL/ELT pipelines.
- Proficiency with BI tools like Power BI or Tableau.
- Knowledge of data modelling and API integration.
- Cloud platform experience, ideally AWS, plus CI/CD and version control exposure.
- Background in product‑centric or consultancy‑style delivery environments.
Who This Role Suits
This Senior Analytics Engineer position is perfect for someone who naturally blends data analysis and data engineering skills, someone who can work comfortably across SQL, Python, modelling, BI tooling, and production‑level pipeline delivery. It’s also a great fit for candidates coming from hybrid roles such as:
- Data Engineering with BI/analytics focus
- Data Analysis with strong coding and pipeline experience
If you enjoy variety and end‑to‑end ownership, this role is designed for you.
Working Model
Hybrid role: 3 days onsite in London with the product squad. Close collaboration with Data Science, Product, and Visualisation teams.
Senior Analytics Engineer | £97,000 | London employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer | £97,000 | London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company and the role thoroughly. Be ready to discuss how your skills in SQL, Python, and data pipelines can make a real impact on their projects.
✨Tip Number 3
Show off your work! If you've got a portfolio of projects or contributions to open-source, share it. Demonstrating your experience with BI tools and cloud platforms can really set you apart.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your blend of analytics and engineering skills, and let’s get you in for a chat!
We think you need these skills to ace Senior Analytics Engineer | £97,000 | London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your SQL, Python, and ETL/ELT pipeline experience to show us you’re the perfect fit for the Senior Analytics Engineer role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this role and how your background aligns with our needs. Share specific examples of your work with data pipelines and analytics to grab our attention!
Showcase Your Projects: If you’ve worked on relevant projects, don’t hesitate to include them! Whether it’s building dashboards or optimising data processes, we want to see what you’ve accomplished and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills, especially with Pandas. Be ready to discuss how you've used these tools in past projects, particularly in building or maintaining ETL/ELT pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled analytical problems and delivered data-driven solutions. Highlight any experience you have with modernising legacy datasets and ensuring data quality.
✨Familiarise Yourself with BI Tools
Since proficiency with BI tools like Power BI or Tableau is key, be prepared to discuss your experience with these platforms. Bring examples of dashboards or reports you've created that had a significant impact.
✨Understand the Role's Hybrid Nature
This role involves close collaboration with various teams, so be ready to talk about your experience working in cross-functional environments. Emphasise your adaptability and how you thrive in hybrid roles.
