At a Glance
- Tasks: Transform raw data into actionable insights and drive strategic business decisions.
- Company: Join BCB Group, a leader in regulated payment and trading services for the digital asset economy.
- Benefits: Enjoy 30 days annual leave, private healthcare, and a strong benefits package.
- Other info: Collaborative culture with opportunities for personal growth and professional development.
- Why this job: Be at the forefront of the digital asset economy and make a real impact.
- Qualifications: 3+ years in a data environment with expertise in dbt, SQL, and Python.
The predicted salary is between 60000 - 80000 £ per year.
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.
- 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.
- 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.
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.
Analytics Engineer in London employer: BCB Group
BCB Group is an exceptional employer that prioritises personal growth and empowerment, fostering a culture where every team member can thrive. With a strong focus on professional development, a collaborative work environment, and a comprehensive benefits package including generous leave and healthcare options, employees are supported in achieving their best. Located at the forefront of the digital asset economy, BCB offers unique opportunities to engage with cutting-edge technology and make impactful contributions across various departments.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving dbt and BigQuery. This gives you a chance to demonstrate your expertise and makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and analytics. Be ready to explain complex concepts in simple terms—this is key when dealing with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our awesome team at BCB Group.
We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Analytics Engineer role. Highlight your experience with dbt, BigQuery, and any relevant projects that showcase your analytical mindset and problem-solving skills.
Showcase Your Communication Skills:Since you'll be working with non-technical stakeholders, it's crucial to demonstrate your ability to explain complex concepts in simple terms. Use examples from your past experiences where you successfully communicated technical solutions to a non-technical audience.
Highlight Your Ownership Mindset:We love candidates who take initiative! Share instances where you've managed your own projects or taken accountability for outcomes. This will show us that you're ready to own the end-to-end lifecycle of a data product.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at BCB Group
✨Know Your Data Stack
Make sure you’re well-versed in 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 models you've built or optimised will show that you have the hands-on experience they’re looking for.
✨Communicate Like a Pro
Since this role involves translating complex data concepts to non-technical stakeholders, practice explaining your past projects in simple terms. Think of examples where you successfully bridged the gap between technical and non-technical teams, and be prepared to share those stories.
✨Show Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Highlight your analytical mindset and provide examples of how you’ve turned raw data into actionable insights that drove business decisions.
✨Embrace AI Tools
Familiarise yourself with AI tools like GitHub Copilot and how they can enhance your workflow. Be ready to discuss how you’ve integrated AI into your projects to improve efficiency or data quality, as this is a key aspect of the role.