Analytics Engineer

Titanbay; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in private market investing seeks an Analytics Engineer to design and implement data models, ensuring data accessibility and reliability. You will collaborate with cross-functional teams to drive impactful results and support decision-making processes. Join a dynamic team committed to innovation and excellence in data solutions.

Benefits

28 days holiday + Bank holidays

Employee Share Options

Private Health insurance

Private Dental cover

Life Insurance, 3x salary

Flexible benefit allowance

Employee Assistance Program (EAP)

Company pension

ParentPromise Digital support

Qualifications

• 2+ years of experience in analytics or data engineering roles.
• Proven ability to write clean, efficient SQL and Python.

Responsibilities

• Design models and develop analytics-ready dbt models.
• Use Fivetran and custom pipelines to ingest data.
• Work with teams to translate needs into scalable data models.

Skills

SQL

Python

Data Governance

Tools

Fivetran

BigQuery

dbt

Job description

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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 an 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

1. 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.
2. 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.
3. Build scalable foundations: You’ll help shape a modern, observable, version-controlled, and secure analytics environment in BigQuery.
4. 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.
5. 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.
6. 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

1. 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.
2. Proven ability to write clean, efficient SQL and Python, and to build robust dbt models that support scalable data workflows in production.
3. Comfortable working across modern data stacks, including ELT tools, cloud warehouses, and BI platforms - with the ability to quickly adapt to new technologies.
4. Experienced in applying software engineering principles - like CI/CD, testing, and version control - to ensure maintainability and reliability in analytics pipelines.
5. Strong grasp of data governance and observability best practices - ensuring that your models are reliable, secure, and compliant by design.

Who You Are

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

Current Stack

We work with a modern data stack, but we’re open to evolving as we grow. Currently, that includes:

• 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

Note: The original description contains some repetitive and irrelevant content, such as multiple mentions of the same company description, and numerous job postings unrelated to the role. These have been omitted for clarity and focus on the core job description.