Senior Data Engineer in London

Senior Data Engineer in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and implement large-scale data systems for blockchain intelligence.
  • Company: Join a values-driven company shaping the future of blockchain technology.
  • Benefits: Hybrid work, generous leave, and a $1,000 learning budget.
  • Other info: Collaborative environment with opportunities for growth and innovation.
  • Why this job: Make a real impact in the crypto space while mentoring others.
  • Qualifications: Experience with big data frameworks and cloud infrastructure.

The predicted salary is between 70000 - 90000 £ per year.

Do you want to help define the future of blockchain intelligence? Are you passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values‑driven company that invests in its people and gives you the autonomy to shape critical systems?

We’re looking for a Senior Software Engineer to join Elliptic’s Product‑Engineering organisation, focusing on data engineering solutions that power our analytics and intelligence products. As a senior member of the team, you will drive the technical direction of our data platform, ensuring it continues to meet the growing demands of blockchain analysis.

Challenges include building a blockchain‑agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.

The impact you will have: Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will design and implement data systems that serve as the backbone of all Elliptic products. You will collaborate across blockchain, intelligence and product teams to deliver innovative features and scalable architectures that help the world fight financial crime and increase transparency in the crypto space. You will also mentor engineers, champion best practices, and influence cross‑team decisions that shape how Elliptic processes and delivers blockchain intelligence data.

What you will do:

  • Architect, design, and implement large‑scale distributed data systems and pipelines.
  • Contribute to technical decision‑making across batch and streaming data solutions.
  • Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer‑focused products.
  • Explore and integrate new technologies (e.g. data orchestration or cloud‑native tools) to optimise performance and scalability.
  • Take shared ownership of data systems, from design to deployment and ongoing improvement and support.
  • Perform thoughtful peer reviews that raise code quality and share best practices across the team.
  • Contribute to platform‑wide initiatives that improve reliability, observability, and cost efficiency.
  • Help shape the technical roadmap for data engineering across Elliptic.

Tech environment: Scala | Spark | Databricks | AWS | GCP | Airflow | Kubernetes | Terraform | Functional Programming

We value depth in any modern data ecosystem. If you’re strong in equivalent technologies and excited to learn Scala, we’ll support you in the transition.

You will thrive here if you:

  • Enjoy end‑to‑end ownership, from architecture design to coaching others through delivery.
  • Strive for engineering excellence and scalable, sustainable systems.
  • Use data and experimentation to guide decisions.
  • Communicate openly and collaborate across teams.
  • Support and coach less‑experienced engineers.
  • Believe every challenge is an opportunity to simplify and innovate together.

What we are looking for:

  • Ability to design, build, and maintain distributed data systems in a cloud‑based environment.
  • Hands‑on experience with big data frameworks such as Spark or Databricks (or a willingness to learn).
  • Knowledge of cloud infrastructure (AWS, GCP, or Azure).
  • Judgement to balance scalability, performance, and maintainability.
  • Experience or interest in functional programming, data modelling, workflow orchestration, or AI‑driven tools.

If you don’t meet every criterion but are excited about this role, we encourage you to apply.

Bonus Points for:

  • Experience in stream processing frameworks and event‑driven architecture.
  • Hands‑on experience with Infrastructure as Code (Terraform, CloudFormation).
  • Experience working in containerised environments (Docker, Kubernetes).
  • Interest in crypto and blockchain technologies.

Job Benefits

  • How we work: Hybrid working and the option to work from almost anywhere for up to 90 days per year. £500 Remote working budget to set up your home office space.
  • Learning & Development: $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development.
  • Vacation/ Leave: Holidays: 25 days of annual leave +

Senior Data Engineer in London employer: Elliptic

At Elliptic, we pride ourselves on being a values-driven company that prioritises the growth and autonomy of our employees. As a Senior Data Engineer, you will not only have the opportunity to shape critical systems in the rapidly evolving blockchain space but also benefit from a hybrid working model, generous learning budgets, and a supportive culture that encourages innovation and collaboration. Join us to make a meaningful impact in the fight against financial crime while enjoying a fulfilling work-life balance.

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Contact Details:

Elliptic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data 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. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering. This gives employers a tangible look at what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.

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 team at Elliptic.

We think you need these skills to ace Senior Data Engineer in London

Data Engineering
Distributed Systems
Blockchain Technology
Big Data Frameworks (Spark, Databricks)
Cloud Infrastructure (AWS, GCP, Azure)
Data Orchestration (Airflow)
Containerisation (Docker, Kubernetes)

Some tips for your application 🫡

Show Your Passion for Data:When you're writing your application, let your enthusiasm for data and distributed systems shine through. We want to see how your passion aligns with our mission to deliver impactful blockchain intelligence.

Tailor Your Experience:Make sure to highlight your relevant experience in building and maintaining distributed data systems. We love seeing how your skills can contribute to our data platform, so be specific about your past projects and technologies you've used.

Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the Senior Data Engineer role at Elliptic.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape the future of blockchain intelligence.

How to prepare for a job interview at Elliptic

Know Your Tech Stack

Familiarise yourself with the technologies mentioned in the job description, like Scala, Spark, and AWS. Be ready to discuss your experience with similar tools and how you can transition into these technologies if needed.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in data engineering. Think about how you approached complex data processing problems and what innovative solutions you implemented. This will demonstrate your ability to tackle the challenges at Elliptic.

Emphasise Collaboration

Since the role involves working with various teams, be prepared to share examples of how you've successfully collaborated with product managers, data scientists, or other engineers. Highlight your communication skills and how you’ve contributed to team success.

Express Your Passion for Blockchain

Show genuine interest in blockchain technology and its applications. Discuss any relevant projects or experiences you have in this area, as it will resonate well with the company's mission and values.