Data Engineer

Data Engineer We're Capital on Tap Capital on Tap was founded with the mission to help small business owners and make their lives easier. Today, we provide an all-in-one business credit card & spend management platform that helps business owners save time and money. Capital on Tap proudly serves over 200,000 businesses across the world and our goal is to help 1 million small businesses by 2030.

Why Join Us? We empower you to be innovative and solveplex problems. Take ownership, make an impact, and thrive in our scaling and agile environment.

This is a Hybrid role, the Data Engineering team work from our London (Shoreditch) Offices 3 days per week.

Data Engineering Team at Capital on Tap The Data Platform team is responsible for designing, building, maintaining, and optimising our modern data infrastructure and platforms. 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, and data quality assurance.

What You'll Be Doing As a Data Engineer, you will play a central role in our growing Data Platform team, focusing on designing, building, maintaining, and optimising our modern data infrastructure and platforms. You will be instrumental in ensuring the organisation has seamless access to high-quality, reliable, and performant data. This is a hands-on position requiring deep technical expertise in building robust data pipelines and platforms, collaborating closely with various teams across the business.

• Design, build, and maintain scalable and resilient data pipelines and infrastructure, utilising 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 of data through our Snowflake data warehouse and itsponent parts, ensuring optimal data delivery architecture and data availability for global business operations.
• Develop and implement internal process improvements, including CI / CD pipelines using Azure DevOps and GitHub for automated testing, deployment, and version control.
• Collaborate closely with stakeholders across the business, including Engineering, Data Scientists and Analytics Engineering teams, to gather requirements and deliver high-impact data solutions.
• Ensure data quality, reliability, and observability across our data platform, implementing robust monitoring, alerting, and testing frameworks.
• Solveplex technical problems in ambiguous situations, demonstrating a strong ability to identify root causes and implement innovative, efficient solutions to intricate data challenges.
• Maintain our data infrastructure for efficiency and consistency across multiple regions.

We're Looking For Required skills :

Nice to have skills :

Diversity & Inclusion We wee, consider and encourage applications from anyone who shares ourmitment 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

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

Check out more of our benefits, values and mission here.

Interview Process

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

Second stage : 45 minute CV overview with Team Manager (Video call)

Final stage : 75 minute technical assessment with members of the Data Engineering team (Video call)

Other Info Check out our 'Top Tips' for interviewing.

Email careers@capitalontap if you have any questions.

Excited to work here? Apply! If you'd like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.) Job ID 8048886002