At a Glance
- Tasks: Design and optimise data systems for blockchain intelligence, processing large-scale datasets.
- Company: Join Elliptic, a leader in blockchain intelligence and finance innovation.
- Benefits: Hybrid work, generous leave, learning budget, and private health insurance.
- Other info: Collaborative culture that values curiosity, autonomy, and continuous improvement.
- Why this job: Make a real impact in the future of finance with cutting-edge technology.
- Qualifications: Experience in data engineering and familiarity with big data frameworks.
The predicted salary is between 60000 - 80000 € per year.
Help shape the future of blockchain intelligence at Elliptic. At Elliptic, we’re building the intelligence layer for the future of finance. Our teams transform complex blockchain and off‑chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital‑asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic’s analytics and decisioning products.
As a Data Engineer, you’ll design and optimise systems that process large‑scale blockchain and off‑chain datasets, enabling organisations worldwide to make trusted, data‑driven decisions. Whether you join one of our platform‑focused teams or those that work directly on product data, you’ll tackle challenges spanning batch and streaming processing, building high‑quality, scalable solutions for a rapidly evolving ecosystem.
What you will do:
- Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies
- Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems
- Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets
- Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points
- Evaluate design options and trade‑offs across performance, scalability, reliability, and cost
- Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement
- Strengthen pipeline reliability, observability, and automation through code and tooling improvements
- Grow your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture
Tech environment: Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming
You will fit right in if you:
- Enjoy writing clean, well‑tested, and efficient code
- Use data and experimentation to make informed decisions
- Thrive in a collaborative, open culture where sharing and feedback are part of daily work
- Are curious about new technologies, including how AI and automation can enhance data engineering
- Appreciate an environment that values autonomy, mentoring, and personal development
- Want to take advantage of AI‑driven productivity tools as part of your day‑to‑day engineering
What we are looking for:
- Experience delivering and maintaining distributed data pipelines
- Practical knowledge of Spark, Databricks, or similar big data frameworks
- Familiarity with cloud infrastructure (AWS, Azure, or GCP)
- Understanding of data-architecture trade‑offs, such as scalability, resilience, and observability
- Interest or experience in functional programming
Bonus points for:
- Experience in streaming processing concepts like delivery semantics, ordering or partitioning
- Hands‑on work with Infrastructure as Code (Terraform or CloudFormation)
- Knowledge of container orchestration (Docker, Kubernetes, Helm)
- An interest in blockchain and cryptocurrency technology, or a desire to learn
- Experience applying AI or automation within deployed services
Don't tick all the boxes? We're still interested to hear from you if you think you'd be a good fit.
Engineering culture: Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data‑driven decisions, and open discussions. Collaboration is central: you will work alongside diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy.
Be part of the team: If you are excited about building the data backbone that powers Elliptic’s data platform and helps organisations across the world act faster and see further, we would love to hear from you. At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply.
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 + 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 of fully paid leave.
- Benefits: Private Health Insurance - we use Vitality!
- Full access to Spill Mental Health Support
- Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries
- £100 Crypto for you!
- Cycle to Work Scheme
Data Engineer employer: Elliptic Enterprises Ltd.
At Elliptic, we pride ourselves on being an exceptional employer that fosters a culture of openness, collaboration, and continuous improvement. Our hybrid working model allows for flexibility, complemented by generous benefits such as a substantial learning and development budget, enhanced parental leave, and private health insurance. Join us in shaping the future of blockchain intelligence while enjoying a supportive environment that values your growth and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Elliptic on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Scala and Spark skills. Practice coding challenges that focus on data pipelines and big data frameworks. The more confident you are with the tech, the better you'll perform!
✨Tip Number 3
Show your passion for blockchain and data engineering during interviews. Share any personal projects or experiences that highlight your curiosity and willingness to learn. This enthusiasm can set you apart from other candidates!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Elliptic team. Let’s get you that job!
We think you need these skills to ace 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 pipelines and any relevant technologies like Scala or Spark. We want to see how your skills align with what we're looking for!
Show Your Passion for Data:In your application, let us know why you're excited about data engineering and how you keep up with new technologies. Mention any projects or experiences that showcase your curiosity and willingness to learn, especially in areas like AI and automation.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and experiences, as we appreciate well-structured applications that are easy to read.
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you can ensure it reaches the right people and gives you the best chance of standing out in the process!
How to prepare for a job interview at Elliptic Enterprises Ltd.
✨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 these tools and how you've used them in past projects. If you haven't worked with Scala yet, highlight your eagerness to learn and any similar languages you've tackled.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use examples that demonstrate your ability to design and optimise data pipelines, ensuring scalability and efficiency. This will show your potential employer that you can tackle the complexities of their systems.
✨Emphasise Collaboration
Since the role involves working closely with engineers, data scientists, and product teams, be ready to share experiences where collaboration led to successful outcomes. Discuss how you value feedback and open communication, as this aligns with the company's culture of shared knowledge and teamwork.
✨Express Your Curiosity
Demonstrate your interest in new technologies, especially AI and automation, which are crucial for enhancing data engineering. Share any personal projects or learning experiences related to blockchain or functional programming. This shows you're not just looking for a job, but are genuinely excited about the field.
