Senior BI Analytics Engineer

Capital on Tap

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 | 🏢 Hybrid (1-2 days per week in office) Data Platform Team 🚀 Located in our growing Data Platform team, Senior Analytics Engineers play a leadership role in how data moves around the business. You will be responsible for leading the design, maintenance, and optimisation of our modern data platform, ensuring high-quality, documented data serves as a strategic asset for the entire company. What You’ll Be Doing 🗃️ * 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. Senior Responsibilities 👑 * 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. 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 🔎 * 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. Interview Process 🤝 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       Other Info 👍Check out our ‘Top Tips’ for interviewing. ✔️Keep updated on new job opportunities by following us on Linkedin. 📧Email careers@capitalontap.com 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.)

Fonoa

Fonoa is the Tax Operating System for autonomous tax. AI that tracks every rule, acts on every obligation, and proves every decision, built on modular infrastructure. Fonoa’s modules cover the full indirect tax lifecycle: tax ID validation, real-time tax determination, e-invoicing, and returns. All on one shared data model and integration, with one audit trail. Each added capability makes the others stronger. Agents monitor obligations, populate returns, catch anomalies and assemble audit packs in seconds. The system does the work. Humans make the calls. That’s autonomous tax. We operate across 120+ countries, with clients going live in weeks, if not days. Trusted by Canva, Netflix, Spotify, Uber, Zoom and Booking.com. Rated 4.5/5 stars and a High Performer on G2 and 4.6/5 stars on Gartner Peer Insights. Find out more: www.fonoa.com ABOUT ENGINEERING AT FONOA Engineering is central to how we build the business. We focus on solving real customer problems, not just shipping features. We work in small, high-trust teams, with full ownership across the lifecycle, from design to production and beyond. We value: * Ownership – engineers own what they build end-to-end * Simplicity – we break down complex problems into clear solutions * Thinking Big - we innovate with modern technologies (LLMs, AI Agents, etc.) to solve meaningful problems * Quality – scalable, maintainable systems are non-negotiable * Speed & iteration – we ship fast, learn, and improve continuously * Collaboration – we win as a team, not as individuals POSITION OVERVIEW As Fonoa continues to scale globally, we are looking for a Data Engineer to help us bootstrap an internal data platform from the ground up. Working closely with the Infrastructure team, you will play a foundational role in unlocking the value hidden across our different systems and make data accessible to both technical and non-technical stakeholders in a seamless way. This is not a role where you'll walk into a mature data stack with well-defined requirements. We have data spread across multiple systems and services, and we need someone who can help us experiment, iterate, and discover how to best add value to the business and our products through data. You'll be exploring what's possible, building the first versions of pipelines and tooling, and shaping the direction of data engineering at Fonoa. This is a highly collaborative, hands-on role for someone who thrives in ambiguity, brings curiosity and proactivity, and is energised by the challenge of building something from scratch rather than maintaining something that already exists. What Will You Do Data Platform Foundations * Design, build, and iterate on the foundational data infrastructure that will become Fonoa's internal data platform * Evaluate and select appropriate tools and technologies based on our needs, scale, and team capabilities * Establish patterns and best practices for data modelling, cataloguing, and documentation, and data governance and quality standards early on Data Integration & Access * Connect and consolidate data from multiple internal systems and services into a unified, queryable layer * Build interfaces and tooling that enable non-technical users (including Product, Finance, Operations) to consume data independently * Ensure data quality, consistency, and reliability across sources through validation and monitoring Exploration & Value Discovery * Partner with stakeholders across the business to understand their data needs and identify high-impact opportunities * Prototype dashboards, reports, and data products to test hypotheses about where data can drive decisions * Help define what "data-driven" looks like at Fonoa and shape the roadmap accordingly Collaboration & Enablement * Work closely with the Infrastructure team on cloud resources, networking, and security considerations for data workloads * Partner with Finance, Operations, and Product to understand their reporting and analytical needs, and translate those into reliable, queryable data products * Share knowledge and advocate for data engineering best practices across the organisation What We Are Looking For * 5+ years of experience in a Data Engineering or similar role (Analytics Engineering, Backend Engineering with heavy data work) * Solid proficiency in SQL and at least one programming language (Python, Scala, or similar) * Experience building and maintaining ETL/ELT pipelines and working with data warehousing or lakehouse architectures * Hands-on experience with modern data stack tooling — particularly a columnar warehouse (BigQuery, Snowflake, or similar), a transformation layer (dbt or equivalent), and an ingestion/CDC tool (Airbyte, Fivetran, or similar) * Familiarity with cloud platforms (GCP preferred) and their data services * Experience with workflow orchestration tools * Strong communication skills and the ability to work with non-technical stakeholders and translate their needs into data solutions * Comfort with ambiguity and an ability to make pragmatic decisions with incomplete information * Prior experience bootstrapping a data platform or data function from scratch Bonus Points If You Have * Experience with data visualisation and BI tools (Metabase, Looker, Superset, or similar) * Background working in a product-oriented SaaS company * Experience working with financial or operational data (revenue, billing, reconciliation) * Exposure to infrastructure-as-code and DevOps practices What Success Looks Like * A first iteration of an internal data platform is running, consolidating data from key systems into a reliable, queryable layer * Non-technical stakeholders can access and explore data relevant to their work without needing engineering support for every question * Clear patterns and documentation exist for how data is ingested, transformed, and consumed * You have identified and delivered at least one high-impact data use case that demonstrably adds value to the business or product API DOCUMENTATION For engineers, API design and structure are an important part of evaluating a role. You can explore our API and how we build products here: https://docs.fonoa.com/ TECH STACK We use these technologies today, but we don’t hire for specific tools. We care about engineers who can understand problems, make good technical decisions, and choose the right tools for the job. * Backend: Node.js, Go * Frontend: React, TypeScript * Infrastructure: GCP, k8s, Terraform, Postgres Note: If you don’t think you have the full experience we’re looking for, but you could be a fit and are willing to learn, do apply anyway! We are building a diverse and inclusive team. As part of the recruitment process at Fonoa, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.

Disguise

ROLE: DATA & ANALYTICS LEAD DEPARTMENT: COMMERCIAL OPERATIONS REPORTS INTO: VP OF COMMERCIAL OPERATIONS LOCATION: LONDON (HYBRID)   About the role: We’re looking for Data & Analytics Lead to take ownership of our commercial data function. Commercial decisions increasingly depend on trusted, forward-looking data, and the bar on our data function has risen from “report what happened” to “define, predict, and steer.” We hold a high volume of data but need the definitions, governance, and ownership to turn it into insight the executive team trusts. This is a newly created role to close that gap. You’ll be the single owner of our data layer; its definitions, its quality, and the insight drawn from it. You’ll be leading a team of three (two data engineers and one senior analyst) and partnering directly with senior leadership. You’ll build deliberately, in sequence: a governed foundation and single source of truth first, then an exec-ready insight layer, then a credible AI and data strategy on top. You’ll be equally comfortable setting technical direction for engineers and translating data into clear narrative for executives. What you will do: * Own metric definitions, the semantic / metric layer, and a living data dictionary across the business, establishing a single source of truth. * Set and enforce data governance: ownership, quality standards, and definition change control, so the business stops debating “whose number is right.” * Direct the data engineering team on the pipelines and models that underpin the function. * Turn data into narrative and forecast, not just dashboards — equipping the exec team with decision-ready insight on pipeline, revenue, retention, and forecasting. * Own exec-facing reporting and the standards the analyst delivers against. * Act as the trusted data partner to the VP and the wider leadership team. * Define where AI and predictive analytics earn their keep (forecasting, scoring, copilots over governed data) and own the roadmap to deliver them. * Lead, mentor, and grow a team of three; set direction and standards, and create a path for junior talent to develop. * Sequence delivery deliberately; foundation, then insight, then AI, recognising that AI built on undefined data fails. Experience we're looking for: * Minimum of 3 years experience leading a data or analytics function * People leadership experience, has managed and developed analysts and/or data engineers. * Strong analytics-engineering depth; semantic / metric layers, dbt or equivalent, and SQL with the credibility to give technical direction to engineers. * Experience across this tech stack (or similar): PowerBI, PostgreSQL, OpenMetaData and AWS. * A track record of defining metrics and building governance and a single source of truth from a messy starting point. * Exec-grade communication: able to turn analysis into clear narrative and recommendation for a senior audience. * Ability to produce and present high quality analysis to both technical and business stakeholders Nice-haves: * SaaS, software, or subscription-business exposure (recurring revenue, retention / NRR, usage telemetry). * Hands-on experience with modern BI and forecasting tooling, and a pragmatic view on applied AI / ML. * Experience through a hardware-to-software shift or a wider commercial transformation. * Python automation skills Behaviours and traits we're looking for: * Product-minded: thinks about the why, not just the how. * A natural curiosity to learn and a 'can do' mentality with a strong preference to suggest solutions rather than just identify problems * Dynamic and quick to respond to changes, works well under pressure, and with other teams * No Ego: A win for the team and for our customers About Disguise Disguise is the industry-leading platform sitting at the heart of a new era of visual experiences. One powerful integrated system of software, hardware and services to help create the next dimension of real-time spectacle. We partner with the biggest entertainment brands and companies in the world to deliver the A-list of live music events, live TV broadcasts, immersive experiences, installations, theatre, film and TV production, corporate communications and brand product launches. Working with Disney, Snapchat, Netflix, ESPN, the Burj Khalifa, and Adele, Disguise is the number one partner delivering the next dimension of entertainment.    Don’t Disguise your differences. Innovation comes from everyone. We strive to create a workplace that reflects our diverse audience. We celebrate our people for their full authentic selves, and embrace uniqueness. Inclusion and Equity matter at Disguise. We create together and we create everywhere.    Our values * Honest. We are real with ourselves and our clients and share our ideas with openness and transparency.  * Evolutionary. We innovate using our user’s ever-changing needs so our technology remains ahead-of-the-game. * Fearless. We take the best path, not the easiest, and innovate where it’s right, not where it’s simplest. * Resilience. We don’t give up until we find the right solution, even if it means going outside our remit. * Belong.  We create an environment where everyone feels like they belong and is empowered to do their best work.   Our benefits * We have a suite of globally relevant competitive benefits packages as we want to make sure we retain the best talent out there. Our benefits for every perm hire, globally include: * Unlimited Paid Time Off - with minimum time you must take set at 20% above statutory * Hybrid working between home and our offices (dependent on role and location) * Mental health and wellbeing support - subscription to the Calm app, mental health first-aid buddies, employee assistance programmes * Gig allowance - £400 (or local equivalent) to spend on tickets every year to immerse yourself in our industries * Belonging policies -  including (but not limited to) support for Parental, Fertility, Miscarriage, Menopause and Transitioning * Training, coaching & mentoring