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 - 75000 £ 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.
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 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
At BCB Group, we pride ourselves on being an exceptional employer that fosters a culture of empowerment and personal growth. Our dynamic work environment encourages collaboration across teams, ensuring that every voice is heard and valued. With a strong focus on professional development, generous benefits including 30 days of annual leave, and a commitment to employee wellbeing, we provide the perfect platform for you to thrive in your role as an Analytics Engineer.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in London
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BCB.
✨Apply Directly through Our Website
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We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BCB, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BCB. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at BCB
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at BCB!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
