Senior Analytics Engineer
Senior Analytics Engineer

Senior Analytics Engineer

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Titanbay

At a Glance

  • Tasks: Design and develop analytics models, manage data flow, and enable smarter decision-making.
  • Company: Titanbay is reshaping private market investing with a focus on innovation and customer success.
  • Benefits: 28 days holiday, employee share options, private health insurance, and flexible benefits.
  • Why this job: Join a high-impact team and make a real difference in the world of data analytics.
  • Qualifications: 2+ years in analytics or data engineering, strong SQL and Python skills.
  • Other info: Collaborative culture with opportunities for growth and ownership.

The predicted salary is between 60000 - 80000 £ per year.

About Titanbay

At Titanbay, we are on a mission to open up private market investing for wealth managers, private banks, and their customers. We are deeply committed to delivering unmatched value and service to our clients by offering innovative solutions that empower our customers to navigate private markets with confidence and success. Our ethos revolves around customer obsession and our ability to solve difficult problems well for our customers. We believe in fostering a culture of transparency, integrity, and accountability where every team member is empowered to take ownership, act with urgency and earn the trust of our colleagues, clients, and partners. Join us on our journey to reshape the future of private market investing and unlock new opportunities for wealth managers and investors alike.

About The Role

This isn’t just a technical job - it’s a business-critical, impact-focused role. We’re looking for a Senior Analytics Engineer who’s excited to build, iterate, and collaborate. Someone who doesn’t just write SQL, but owns data end-to-end - from source to model to insight. You’ll be joining a small, high-impact team that’s trusted across the business and expected to deliver meaningful results. If you’re the type of person who gets stuck in, thrives on solving complex data problems, and knows how to partner with engineering, product, and commercial teams to actually move the needle, you’ll love it here.

What You’ll Do

  • Design models that hold up under pressure: Own and develop analytics-ready dbt models that transform raw data into clean, documented, and trusted sources of truth.
  • Get the right data flowing: Use Fivetran and custom pipelines to ingest from product, ops, marketing, and more. If it’s not in the warehouse yet, you’ll help make it happen.
  • Build scalable foundations: You’ll help shape a modern, observable, version-controlled, and secure analytics environment in BigQuery.
  • Own outcomes, not just tasks: Work with our teams to understand what they need, not just what they ask for. Translate those needs into scalable data models, drive alignment with engineering on upstream requirements, and ensure the data foundation supports meaningful and trusted insight generation.
  • Champion self-service: Help enable smarter decision-making by making data accessible and understandable. You’ll work closely with our internal customers to ensure they’re getting value.
  • Be a bridge: Partner closely with engineering, product, and many others around the business. This is not a siloed role - it’s all about making our data a shared competitive advantage.

What You’ll Bring

  • 2+ years of experience in analytics or data engineering roles, ideally in high-growth environments where you’ve had to balance speed, quality, and scale.
  • Proven ability to write clean, efficient SQL and Python, and to build robust dbt models that support scalable data workflows in production.
  • Comfortable working across modern data stacks, including ELT tools, cloud warehouses, and BI platforms - with the ability to quickly adapt to new technologies.
  • Experienced in applying software engineering principles - like CI/CD, testing, and version control - to ensure maintainability and reliability in analytics pipelines.
  • Strong grasp of data governance and observability best practices - ensuring that your models are reliable, secure, and compliant by design.

Who You Are

  • You take ownership - you don’t wait for permission or a perfect spec, and you’re comfortable navigating ambiguity to move things forward.
  • You’re collaborative - open to feedback, eager to work cross-functionally, and focused on impact over ego.
  • You’re pragmatic - you know when to ship fast and when to invest in doing it right.
  • You get a thrill out of getting things done - and done well.

Current Stack

  • Fivetran
  • BigQuery
  • dbt
  • Lightdash
  • Hex
  • Heap

Benefits

  • 28 days holiday per annum + Bank holidays, with the option to roll up to 5 days per annum.
  • Employee Share Options.
  • Private Health insurance.
  • Private Dental cover.
  • Life Insurance, 3x salary.
  • Flexible benefit allowance.
  • Employee Assistance Program (EAP) support.
  • Company pension.
  • ParentPromise Digital new parent support.

Titanbay does not discriminate on the basis of race, sex, colour, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other reason prohibited by law in the provision of employment opportunities and benefits.

Senior Analytics Engineer employer: Titanbay

At Titanbay, we pride ourselves on being an exceptional employer that champions a culture of transparency, integrity, and accountability. Our commitment to employee growth is evident through our collaborative work environment, where every team member is empowered to take ownership and drive impactful results. With competitive benefits such as 28 days of holiday, private health insurance, and employee share options, we ensure that our employees are well-supported both personally and professionally as they help reshape the future of private market investing.
Titanbay

Contact Detail:

Titanbay Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Analytics Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Titanbay on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!

✨Tip Number 2

Prepare for the interview by diving deep into Titanbay's mission and values. Show us how your skills align with our customer obsession and problem-solving ethos. We love candidates who can demonstrate their understanding of our culture!

✨Tip Number 3

Don’t just talk about your technical skills; share real-world examples of how you’ve used them to drive impact. We want to hear about those times you’ve owned data end-to-end and made a difference in your previous roles.

✨Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our journey at Titanbay.

We think you need these skills to ace Senior Analytics Engineer

SQL
Python
dbt
Fivetran
BigQuery
Data Modelling
Data Governance
CI/CD
Testing
Version Control
Data Engineering
Analytics
Collaboration
Problem-Solving
Adaptability

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for data and analytics shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about the impact you can make at Titanbay.

Tailor Your Experience: Make sure to highlight your relevant experience in analytics or data engineering. We’re looking for someone who can own data end-to-end, so share specific examples of how you've done this in previous roles.

Be Clear and Concise: While we love detail, clarity is key! Use straightforward language to explain your skills and experiences. Avoid jargon unless it’s necessary, and make sure your application is easy to read.

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 shows you’re keen on joining our team!

How to prepare for a job interview at Titanbay

✨Know Your Data Inside Out

As a Senior Analytics Engineer, you’ll need to demonstrate your understanding of data models and analytics workflows. Brush up on your SQL and Python skills, and be ready to discuss how you've built robust dbt models in the past. Show them you can own data from source to insight!

✨Showcase Your Problem-Solving Skills

Titanbay values those who thrive on solving complex data problems. Prepare examples of challenges you've faced in previous roles and how you tackled them. Highlight your ability to partner with different teams to drive impactful results.

✨Emphasise Collaboration

This role is all about teamwork! Be prepared to discuss how you've worked cross-functionally with engineering, product, and commercial teams. Share specific instances where your collaboration led to successful outcomes, showcasing your ability to bridge gaps between departments.

✨Demonstrate Ownership and Initiative

Titanbay is looking for someone who takes ownership and navigates ambiguity. Think of examples where you took the lead on projects without waiting for permission. Show them that you’re proactive and can move things forward, even in uncertain situations.

Senior Analytics Engineer
Titanbay

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