Data Engineer

Engg; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private Healthcare

Worldwide travel insurance

Anniversary Rewards

Pension scheme

EV Salary Sacrifice

28 days holiday

Learning & Wellbeing Budget

Parental Leave

Cycle to Work

Season Ticket Loan

Therapy sessions

Dog Friendly Offices

Free drinks and snacks

Job summary

Capital on Tap is building a modern Data Platform in London, designing scalable data pipelines, and maintaining robust infrastructure using Python, Snowflake, and Kubernetes for global operations.

You will own data flow, security, and quality while collaborating with Data Science and Analytics teams, implementing GitHub CI/CD and ensuring observability across the stack.

Qualifications

• Proven experience as a Data Engineer designing and maintaining data platforms.
• Deep Snowflake expertise including security and ELT tooling.
• Strong Python skills for data engineering and automation.
• Solid SQL and data warehousing concepts.
• Experience with GitHub, CI/CD, and collaboration.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure.
• Manage data platforms using Snowflake and orchestration.
• Own data flow and security for global operations.
• Build CI/CD pipelines with GitHub for testing and deployment.
• Collaborate with Engineering, Data Science, Analytics Engineering.
• Ensure data quality, reliability, and observability.

Skills

Data engineering

Python

SQL

Snowflake

GitHub

CI/CD

Kubernetes

Stakeholder management

Data quality & observability

Tools

GitHub

Datadog

Kubernetes

ML model deployments

Job description

We’re Capital on Tap Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that. Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier. 1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We’ve done a pretty good job so far, but we’re just getting started! London | 2 days per week in office Data Engineering Team The Data Platform team is responsible for designing, building, maintaining, and optimising our modern data platforms and infrastructure.

Our main goal is to ensure the organisation has seamless access to high-quality, reliable, and performant data, from ingestion through to consumption by various teams. We work on key projects involving data pipeline development, platform management, model training and deployment, data quality assurance and customised data tooling.

What You’ll Be Doing

• Design, build, and maintain scalable and resilient data pipelines and infrastructure, using Python for custom data transformations, API integrations, and orchestration.
• Implement and manage data platforms leveraging Kubernetes for efficient deployment, orchestration, and scaling of data services and applications.
• Own the flow and security of data in our Snowflake data warehouse, ensuring optimal data delivery architecture and availability for global business operations and data science work.
• Build CI/CD pipelines using GitHub for automated testing, deployment, and version control.
• Collaborate with stakeholders across Engineering, Data Science, and Analytics Engineering to gather requirements and deliver high-impact data solutions.
• Ensure data quality, reliability, and observability across the platform through robust monitoring, alerting, and testing frameworks.

Our Values & Culture

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.

We’re Looking For

• Proven experience as a Data Engineer, designing, building, and maintaining scalable data platforms and pipelines.
• Deep experience with Snowflake, including advanced features like dynamic data masking, row-level security, data backups, and ELT tools.
• Strong Python skills for data engineering, scripting, and automation.
• Strong SQL performance, with a solid understanding of data warehousing concepts.
• Demonstrated experience with GitHub, CI/CD, and collaborative development.
• Strong stakeholder management and communication skills, comfortable working with technical and non-technical colleagues.
• Experience in kubernetes, datadog and ML model deployments are great to have.

Interview Process

First stage: 30 minute intro and values call with Talent Partner (Video call). Second stage: 60 minute CV overview with Head of Data Platform & Team Manager (Video call). Final stage: Split into two parts - Part 1: 60 minute technical assessment with 2 members of the Data Engineering team. Part 2: 30 minute chat with the rest of the team (Virtual).

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.

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

Other Useful Info

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