Head of Data

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

REQ ID: FEQ227R147 Location: London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. In the UK&I Digital Natives Hunting territory, we move at the speed of the most innovative companies in the world. We don't just sell software; we partner with technical founders, CTOs, and VPs of Engineering at high-growth startups to build the future of AI. You will be an essential part of this mission, using your executive-level technical credibility and "Hunter" mindset to win mindshare and acquire new logos. Join us in our quest to change how people work with data and make a better world! Reporting to Manager, Field Engineering THE IMPACT YOU WILL HAVE: * Executive Evangelism & Thought Leadership: Act as a Technical Advisor, building peer-to-peer relationships with CTOs, VPs of Engineering, and technical founders at high-growth DNBs. You will win technical mindshare in "first meetings" by articulating a vision for Data + AI that aligns with their rapid innovation cycles. * Drive New Logo Motion: Execute the high-velocity "Hunter DNA"—obsessing over Time to Value, qualifying out ruthlessly when necessary, and focusing energy on hard-to-win, prestigious accounts that establish Databricks as the standard for the UK startup ecosystem. * Ecosystem Building: Drive awareness within the UK startup and VC ecosystem. You will be the face of Databricks at relevant events, building strategic relationships with VCs, accelerators, and incubators to identify and influence the next generation of "unicorns." * Strategic Technical Discovery: Move beyond traditional "hands-on" SA work to focus on high-level architecture and strategic road-mapping. You will bridge complex business requirements with technical solutions, ensuring that the Databricks Intelligence platform is seen as a strategic enabler of a startup's core product. * Regional Mentorship: Be a role model and mentor for the wider Field Engineering team, specifically coaching Solutions Architects on how to engage effectively with CxOs and navigate the unique demands of the digital-native segment. * Technical Community Engagement: Develop high-impact, customer-facing collateral, and lead technical seminars or meet-ups that position Databricks as a thought leader in Generative AI, LLMs, and modern data stack architecture. WHAT WE LOOK FOR: * Startup Leadership & Scaling Experience: 10+ years of professional experience, including significant time spent as a tech co-founder, Head of Engineering, VP-level leader, or high-impact technical contributor within high-growth startups. We value the "in the trenches" experience of scaling a business and technical stack from the ground up. While you possess the credibility to engage with senior founders, you maintain a hands-on technical edge and aren't afraid to dive into the architecture. * Executive Presence: Proven ability to influence and win trust with senior technical stakeholders and C-level executives in innovative, fast-moving environments. * Technical Depth with an Evangelist Spike: Strong technical background (8+ years) in Operational Databases, Data Engineering, Data Science, or AI, but with a primary skillset focused on technical evangelism, storytelling, and high-level architectural vision rather than tactical delivery. * Operational Database and Real-Time Data Architecture: Experience with modern operational database architectures (OLTP) and building scalable, data-driven applications, including connecting transactional systems with analytical platforms to support real-time analytics, AI/agent workloads, and operational applications.  * Startup Ecosystem Knowledge: 5+ years of deep familiarity with the startup and VC landscape. You know who the key players are and how to navigate the network of investors, accelerators, and founders. * High Velocity Mindset: Experience working with early-stage, high-growth digital natives where speed, agility, and "Time to Value" are prioritized over traditional enterprise sales cycles. * Problem-Solving Agility: Ability to innovate technical solutions for specialized customer needs and navigate a competitive landscape where prospects may already be using "greenfield" or bleeding-edge tech stacks. * Communication Excellence: Exceptional ability to articulate complex technical concepts to both highly technical audiences and business decision-makers. * Nice to have: * Familiarity with PostgreSQL-compatible systems and architectures enabling low-latency feature and application data serving. * Experience migrating or modernising operational databases (e.g. Aurora/ RDS/ PostgreSQL) toward Lakehouse integrated architectures. * Deep expertise in articulating the strategic and commercial value of Generative AI, including Large Language Models (LLMs), RAG architectures, and the shift toward Compound AI Systems. * Familiarity with the latest advancements in Agentic Workflows, model fine-tuning (Mosaic AI), and efficient inference at scale. * Established presence in the technical community (e.g., high-impact blog, regular public speaking at major conferences like Data+AI Summit, AWS re:Invent, or significant open-source contributions). About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.