Reverse Engineer

Teller

About Teller Teller builds APIs that enable developers to safely and reliably connect their apps with their users' financial accounts. We have a reputation for quality product and engineering excellence, and despite being relatively early stage we have some of the best fintechs in the world like Ramp, Brex, Pipe, and Capchase depending on our product. Teller is backed by leading Silicon Valley investors such as Founders Fund, SciFi, Craft, and Lightspeed Venture Partners. The Product Engineer Role Product Engineers are responsible for everything from building the dashboards, onboarding flows, and billing through to building the API itself and implementing new bank integrations alongside the Reverse Engineers on the Teller Red Team.

BCB Group

THE ROLE - WHAT WILL YOU BE DOING?  We are seeking a highly motivated and detail-oriented Data Engineer to join our dynamic Data and Analytics team. Reporting to the Head of Data and Analytics, you will play a pivotal role in transforming raw data into actionable insights that drive strategic business decisions.  This position requires a strong analytical mindset, exceptional problem-solving skills, and the ability to effectively communicate complex technical concepts to non-technical stakeholders.  The position is more than just a "warehouse developer" role. You will work cross-functionally with various departments—to understand their workflows, model their data, and build the "connective tissue" that makes the business move faster.  You will be responsible for the end-to-end lifecycle of a data product: from identifying a business need to building the dbt models and ensuring that transformed data is accessible where it's needed most.   KEY RESPONSIBILITIES OWNERSHIP OF THE MODERN DATA STACK (DBT & BIGQUERY) * Act as a lead developer for our dbt project. * Build performant, modular, and well-tested models that turn data into a reliable "Source of Truth." * Apply software engineering rigor to the data stack: version control (Git), documentation, unit testing, and CI/CD. CROSS-FUNCTIONAL AUTOMATION & INTELLIGENCE * Partner with business leads across the company to identify manual processes that can be streamlined through data automation. * Bridge the gap between the warehouse and the business by "closing the loop"—ensuring data isn't just sitting in a dashboard but is actively driving operational tools and decision-making. * AI Integration: Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and explore new ways to enhance data quality. STAKEHOLDER ENGAGEMENT * Act as a consultant to business leads. Don't just "take tickets"—understand the underlying business logic and propose better ways to structure data. * Translate loosely defined business requirements into robust, automated technical solutions. * Data Quality Advocacy: Work closely with stakeholders to define data quality standards and establish feedback loops that ensure data captured in upstream systems is accurate, complete, and fit for purpose. What are we looking for Essential Skills and Experience * 3+ years of experience in a high-growth data environment (Analytics Engineer, Data Engineer, or Technical Data Analyst). * Modern Data Stack Specialist: Deep, practical knowledge of dbt and cloud warehouses (we use BigQuery, but the experience is very transferrable). * Expert-level SQL: You write complex, clean, and performant queries. * Python Literacy: Not a software developer, but you must be comfortable reading code, writing scripts for data manipulation, and handling API. * AI Comfort: You are an "AI-first" builder who is comfortable using AI tools (e.g., Cursor, GitHub Copilot, LLMs) to write code faster, debug, and stay ahead of the curve. * Ownership Mindset: You are comfortable working independently, managing your own roadmap, and taking accountability for the entire warehouse architecture. * Exceptional Communication: You can walk into a room with a non-technical team, understand their pain points, and explain your technical solution in plain English. Desired Skills and Experience: * Workflow Automation: Experience with tools like n8n, Zapier, or similar automation platforms. * BI/Semantic Platforms: Experience with Looker, Thoughtspot, or similar. * Industry Context: Experience in Payments, FinTech, Banking, or Cryptocurrency. * Reverse ETL: Familiarity with moving data from the warehouse back into SaaS tools.   SO, WHAT’S IN IT FOR YOU?        Our people are constantly striving to be the best through operational excellence. The professional development and learning opportunities create an agile, hardworking, conscientious, and knowledgeable team.  The opportunities for personal growth are exponential. You grow as the business grows. The roles and responsibilities are broad and ever-changing, and the dynamism of BCB keeps you engaged and highly motivated.   At BCB, you don’t just work for your manager; they work for you too. We believe in empowering individuals to create a culture of personal growth, together. We focus on driving empowerment from the bottom up, up-skilling every individual at every level. This means our team has a sense of commonality and belonging, driven by a shared belief in our mission. We’re passionate about our business, our people, and providing 360-degree support for success.        * The chance to operate at the forefront of our industry                                    * You can talk to anyone in the business as there are no barriers and everyone is accessible * You will be collaborating with teams on a hybrid working arrangement * We value team success where every individual can grow and prosper * 30 days annual leave each year, excluding bank holidays * 4 wellbeing days per year to prioritise your mental health  * 1 company volunteering day per year * Strong benefits package including; Private Healthcare, Pension, Income Protection (long-term absence), Life Insurance, Menopause Policy, and an enhanced Parental Leave policy BCB GROUP BCB Group is a leading provider of regulated payment and trading services in crypto and fiat for the digital asset economy. We provide accounts, cryptocurrency and foreign exchange market liquidity for some of the world’s largest, crypto-engaged businesses, including crypto exchanges, liquidity providers, market makers, investment firms, custodians, payment processors and wallet providers. Our end-to-end suite of products are accessible through our Client Console UI and API. We offer more than 40 fiat and cryptocurrencies, deep trading liquidity, 24/7 instant payments through our instant settlements network, BLINC, and secure crypto services. Our strong focus on compliance matches our technical and business expertise, and we are regulated by some of the world’s most respected regulators. Authorised in the UK, France and Switzerland, we place the utmost importance on our regulatory-first institutional principles. Our leadership team boasts years of relevant, high-level experience at globally-renowned institutions. They combine finance, law, regulatory and technology skills in traditional and crypto financial services with a deep understanding of the new digital asset economy. Our mission is to create the trusted platform to pay, store, trade and earn fiat and digital assets, globally 24/7 www.bcbgroup.com

Liberis

Some key info for you about Liberis:  🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do!   Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale.  Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.   About our Data & Insights Team: We exist to build the data platforms and analytics that enable every decision at Liberis to be data-informed—and increasingly, to power AI and ML capabilities across the company! We're building composable, reliable data platforms that scale—from ingesting partner transaction data and event streams, to powering analytics dashboards, to feeding ML models with real-time features. We're also supporting the AI/ML platform team with reliable, low-latency feature pipelines and model serving infrastructure. We're collaborative, pragmatic, and we value moving fast by fixing the right problems—not over-engineering, but building to last!   The team is made up of three functions: Data Platform Engineering: Building and scaling ELT pipelines, managing data infrastructure on GCP, and creating the foundation for analytics and ML feature stores. You'll be part of a small, high-performing team of platform engineers focused on reliability, scale, and developer velocity. Analytics Engineering: Transform raw data into trusted models using DBT and SQL, powering self-serve analytics and business intelligence for stakeholders across the company. Data & Business Intelligence: Build dashboards, partner-facing reports, and insights that drive business decisions and revenue outcomes.   What you'll get to do in the role: * Design, build, and maintain resilient data pipelines that ingest data from Azure SQL, SaaS platforms, and event streams into BigQuery. * Write Python code using DLT to define declarative, testable, version-controlled pipelines - no low-code tools, real engineering. * Build and operate ML feature pipelines - low-latency, real-time data streams that feed ML models with accurate, fresh features. * Own the operational health of systems you build - monitoring, alerting, error handling, and incident response. When the data pipeline goes down, merchant credit decisions and ML model predictions suffer. * Collaborate with analytics engineers to understand data needs, validate schema design, and establish data quality standards that both analytics and ML rely on. * Partner with the AI/ML platform team to design feature stores, streaming feature infrastructure, and model serving pipelines that power Liberis' decisioning engine. * Identify and execute optimisation work - improving performance, reliability, and developer velocity without rearchitecting stable systems. * Mentor junior engineers, helping them grow as engineers and supporting their career development. * Participate in technical decisions about platform direction - infrastructure choices, tooling, architecture trade-offs. * Work cross-functionally with product teams, analytics engineers, BI specialists, and the ML platform team to shape data requirements and platform capabilities.   What we think you'll need: * Proven experience within data engineering roles -building and operating data pipelines at scale * Hands-on experience building Modern Data Stack architectures - you understand the layers: ingestion, warehouse, transformation, orchestration, reverse ETL. You've worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration). * Strong Python programming - you write clean, testable, maintainable code with solid error handling and logging. * Fluent SQL - you can write complex queries, understand execution plans, and optimize for performance and cost. * Experience with cloud data platforms - you've built data warehouses in BigQuery, Redshift, Snowflake, or similar; you understand distributed processing, partitioning, cost optimization, and data governance. * Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) or equivalent - you version control infrastructure and deploy it via CI/CD pipelines. * Experience working in fast-moving environments where requirements evolve and you adapt quickly without losing sight of reliability. * Understanding of DevOps principles - you think in terms of observability, resilience, incident response, and operational excellence. You can set up monitoring and alerting that actually matters.   Bonus points if you have:  * Experience with DLT or similar declarative ELT frameworks; experience with Google Cloud Platform ecosystem (BigQuery, Cloud Run, Pub/Sub, Dataflow); experience with Kafka, Pub/Sub, or event streaming platforms; experience scaling data systems from 0 to 100M+ events/day; experience implementing data quality frameworks (Great Expectations, dbt tests, custom monitoring); background in fintech or high-stakes data reliability environments where data quality directly impacts revenue. * Experience working with distributed, asynchronous teams across timezones; experience in India tech ecosystem or building in resource-constrained environments; experience migrating from legacy data infrastructure (Azure ADF, traditional ETL) to modern cloud-native stacks.   Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link  Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1