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- Tasks: Design and implement large-scale data systems for blockchain intelligence.
- Company: Join a values-driven company at the forefront of blockchain technology.
- Benefits: Hybrid work, generous leave, and a £1,000 learning budget.
- Other info: Diverse and inclusive workplace that values innovation and collaboration.
- Why this job: Make a real impact in the crypto space while shaping the future of data engineering.
- Qualifications: Experience with big data frameworks and cloud infrastructure is a plus.
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 are looking for a Senior Software Engineer to join Elliptic's Product-Engineering organization, 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.
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 are strong in equivalent technologies and excited to learn Scala, we will 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.
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
- 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 + bank holidays.
- An extra day for your birthday.
- Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.
Benefits
- Private Health Insurance - we use Vitality!
- Full access to Spill Mental Health Support.
- Life Assurance: cover is for 4 times your salary to your beneficiaries.
- £100 Crypto for you!
- Cycle to Work Scheme.
We know Diversity and Inclusion is much deeper than just hiring, but it is important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people do not all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.
Senior Data Engineer employer: Elliptic Enterprises Limited
Contact Detail:
Elliptic Enterprises Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 potential employers a taste of 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 the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with distributed data systems and cloud environments. We want to see how your skills align with our mission at Elliptic!
Showcase Your Passion: Let us know why you're excited about blockchain intelligence and data engineering. Share any personal projects or experiences that demonstrate your enthusiasm for the field!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at Elliptic Enterprises Limited
✨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 examples of complex data processing problems you've solved in the past. Highlight your thought process and the impact of your solutions, especially in distributed systems or cloud environments.
✨Emphasise Collaboration
Since the role involves working with various teams, be prepared to discuss how you've successfully collaborated with engineers, product managers, and data scientists in previous roles. Share specific instances where teamwork led to successful project outcomes.
✨Demonstrate a Growth Mindset
Express your enthusiasm for learning and adapting to new technologies. Mention any relevant courses or self-study you've undertaken, especially in areas like functional programming or blockchain technologies, to show you're proactive about your professional development.