At a Glance
- Tasks: Transform raw data into actionable insights and streamline business processes.
- Company: Join BCB Group, a leader in crypto and fiat payment services.
- Benefits: Enjoy 30 days annual leave, private healthcare, and a strong benefits package.
- Other info: Collaborative culture with opportunities for personal growth and development.
- Why this job: Make a real impact in the fast-paced digital asset economy.
- Qualifications: 3+ years in data roles with expertise in dbt, SQL, and Python.
The predicted salary is between 36000 - 60000 £ per year.
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.
About the Role
We are seeking a highly motivated and detail-oriented Analytics 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.
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.
- 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.
- Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and explore new ways to enhance data quality.
- 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.
- 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.
Qualifications
- 3+ years of experience in a high-growth data environment (Analytics Engineer, Data Engineer, or Technical Data Analyst).
Required Skills
- 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.
Preferred Skills
- 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.
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.
Equal Opportunity Statement
BCB Group is committed to diversity and inclusivity.
Analytics Engineer employer: BCB Group
BCB Group is an exceptional employer that fosters a culture of empowerment and personal growth, making it an ideal place for an Analytics Engineer to thrive. With a strong focus on operational excellence, employees benefit from extensive professional development opportunities, a supportive work environment, and a commitment to mental health and wellbeing, including 30 days of annual leave and additional wellbeing days. The collaborative and dynamic atmosphere encourages innovation and accessibility across all levels, ensuring that every team member can contribute meaningfully to the company's mission in the fast-paced digital asset economy.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using dbt and BigQuery. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled real-world problems with data and how you can bridge the gap between technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at BCB Group.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with dbt, BigQuery, and any relevant projects that showcase your analytical skills. We want to see how your background aligns with what we do!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Don’t forget to mention your ownership mindset and how you’ve tackled complex problems in the past.
Showcase Your Communication Skills:Since you'll be working with non-technical stakeholders, it's crucial to demonstrate your ability to communicate complex ideas simply. Include examples in your application where you've successfully bridged the gap between technical and non-technical teams.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at BCB Group!
How to prepare for a job interview at BCB Group
✨Know Your Data Stack
Make sure you’re well-versed in the Modern Data Stack, especially dbt and BigQuery. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects. Being able to talk about specific examples will show that you’re not just familiar with the tech but can also apply it effectively.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. Think of scenarios where you’ve had to bridge the gap between technical and non-technical teams. This will demonstrate your exceptional communication skills and your ability to make data-driven insights accessible.
✨Show Your Problem-Solving Skills
Prepare to discuss how you've identified manual processes that could be automated. Bring examples of how you’ve transformed raw data into actionable insights that drove business decisions. This will highlight your analytical mindset and your ownership of the data lifecycle.
✨Embrace AI Tools
Familiarise yourself with AI tools and how they can enhance your workflow. Be ready to share your experiences using AI for coding or data manipulation. Showing that you’re an 'AI-first' builder will set you apart and align with the innovative spirit of the company.
