Analytics Engineer
BCB Group is a leading provider of business accounts and trading services for the digital asset economy. They offer a unified platform that allows businesses to manage fiat, stablecoins, and cryptocurrencies, facilitating payments, storage, trading, and earning. The company serves crypto-engaged businesses globally, helping them navigate the intersection of traditional and digital finance.
Funding
About BCB Group
BCB Group is a financial services firm that provides banking solutions for the digital asset economy. The company offers a platform for clients to pay, store, trade, and earn in fiat, stablecoins, and cryptocurrencies. Their services include payment accounts, crypto accounts, trading services, and the BLINC network for instant payments. BCB Group serves a wide range of clients, including crypto exchanges, liquidity providers, market makers, investment firms, crypto funds, hedge funds, custodians, payment processors, and wallet providers. The company is authorized and regulated in the UK and France and is a member of a self-regulatory organization in Switzerland, emphasizing a compliance-first approach.
Skills
About the Role
You'll join a dynamic Data and Analytics team, reporting to the Head of Data and Analytics, playing a pivotal role in transforming raw data into actionable insights that drive strategic business decisions. You'll go beyond a typical warehouse developer role, working cross-functionally with various departments to understand their workflows, model their data, and build the connective tissue that makes the business move faster. You'll own the end-to-end lifecycle of data products, from identifying a business need to building dbt models and ensuring transformed data is accessible where it's needed most.
Requirements
- 3+ years of experience in a high-growth data environment (Analytics Engineer, Data Engineer, or Technical Data Analyst)
- Deep, practical knowledge of dbt and cloud warehouses such as BigQuery
- Expert-level SQL for writing complex, clean, and performant queries
- Python literacy for reading code, writing scripts for data manipulation, and handling APIs
- Comfortable using AI tools such as Cursor, GitHub Copilot, and LLMs to write code faster and debug
- Ability to work independently, manage own roadmap, and own the entire warehouse architecture
- Exceptional communication skills to explain technical solutions to non-technical stakeholders
- Experience with workflow automation tools like n8n or Zapier
- Experience with BI/semantic platforms like Looker or Thoughtspot
- Industry experience in Payments, FinTech, Banking, or Cryptocurrency
- Familiarity with Reverse ETL
Responsibilities
- Act as a lead developer for the 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 including version control, documentation, unit testing, and CI/CD
- 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 ensuring data actively drives operational tools and decision-making
- Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and enhance data quality
- Act as a consultant to business leads, understanding underlying business logic and proposing better ways to structure data
- Translate loosely defined business requirements into robust, automated technical solutions
- Work closely with stakeholders to define data quality standards and establish feedback loops
Benefits
- Hybrid working arrangement
- 30 days annual leave each year, excluding bank holidays
- 4 wellbeing days per year
- 1 company volunteering day per year
- Private Healthcare
- Pension
- Income Protection (long-term absence)
- Life Insurance
- Menopause Policy
- Enhanced Parental Leave policy