Analytics Engineer
BCB Group provides regulated payment, trading, account, custody, and settlement infrastructure bridging global fiat and crypto markets. It serves institutional digital-asset businesses including exchanges, market makers, funds, brokers, custodians, payment processors, and wallet providers.
Funding history
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About BCB Group
BCB Group is a regulated financial-services company offering enterprise-grade infrastructure for global payments and instant settlement across fiat, stablecoins, and cryptocurrencies. Its products include multi-currency payment and e-money accounts, virtual IBANs, crypto accounts and payments, OTC trading, and its proprietary BLINC instant-payment network. Clients can use its Client Console and Web API to manage, move, store, earn, and trade assets; its target customers include financial institutions and businesses operating across digital-asset and traditional-finance markets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Join BCB Group's Data and Analytics team to transform raw data into actionable insights, build dbt models, automate workflows, and ensure data products support operational decision-making across the business.
Requirements
- 3+ years of experience in a high-growth data environment
- 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
- 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