Senior Analytics Engineer

📍 London | 🏢 Hybrid (1-2 days per week in office)

• →Own the global data stack including Fivetran, Snowflake, dbt, and Omni.
  
  
• →Create and maintain well-designed data marts through organised and tested dbt models.
  
  
• →Use frontier AI models (Claude, GPT) in tools like Claude Code and Cursor, plus our internal Snowflake MCP, to accelerate development, and help shape how the business adopts data and AI tooling.
  
  
• →Assemble large, complex data sets that meet specific business requirements.
  
  
• →Implement internal process improvements like Github CI/CD and automation.
  
  
• →Partner with stakeholders across Executive, Risk, Commercial, Finance and Engineering teams.
  
  

• →Mentor and coach junior and mid-level engineers, fostering a culture of technical excellence and continuous learning.
• →Take full architectural ownership of the Data Platform, ensuring scalable and robust designs.
• →Exert strategic influence across the business to align data initiatives with long-term company goals.
• →Define and implement global data modelling standards and best practices across the organization.
• →Contribute to the long-term technical roadmap, identifying future technologies and process optimizations.

• Just Pilot: We never settle for “good enough”. We pilot new ideas fast, ask questions to figure it out, and scale quickly.
  
  
• Why Not Today? Fast is as slow as we go - speed and simplicity gives us a competitive advantage.
  
  
• Be a Buddy: We tap in from day one to help the team, we do the right thing even if it’s hard.
  
  
• Owners and Dates: We don’t chase people. If you own a task and agree to a date, the expectation is that it gets done.
  
  
• Feedback: We want our employees to flourish, so we regularly provide direct and constructive feedback.
  
  

• Expert SQL skills and knowledge of data modelling (e.g., Kimball).
  
  
• Hands-on experience with dbt and Git for building SQL-based pipelines.
  
  
• Experience with ELT tools (Fivetran) and cloud data warehouses (Snowflake).
  
  
• Familiarity developing within BI tools like Looker, Omni, Tableau, or PowerBI.
  
  
• Strong analytical skills with a customer-centric approach toward Data Analysts.
  
  
• Excellent interpersonal skills to translate technical concepts for stakeholders.
  
  
• Proven track record of mentoring junior engineers and leading cross-functional technical initiatives.
• Advanced system design and data warehousing skills, with the ability to architect complex, multi-layered data environments.

1. First stage: 30 minute intro and values call with Talent Partner (Video call).

2. Second stage: 45 minute CV overview with Hiring Manager (Video call).

3. Final stage: Technical assessment with Team Leads and a “Meet the Team” session — 60 minutes each (Video call).

Diversity & Inclusion 🌈 We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Great Work Deserves Great Perks We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure.

 Check out our benefits:

🏥 Private Healthcare including dental and opticians services through Vitality

✈️ Worldwide travel insurance through Vitality

🎁 Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)

👛 Salary Sacrifice Pension Scheme up to 7% match

🚘 Octopus EV Salary Sacrifice Scheme

🏖️ 28 days holiday (plus bank holidays)

📖 Annual Learning and Wellbeing Budget

👪 Enhanced Parental Leave

🚲 Cycle to Work Scheme

🚂 Season Ticket Loan

💬 6 free therapy sessions per year

🐶 Dog Friendly Offices

🍫 Free drinks and snacks in our offices