Data Engineer

Elliptic

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 (No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you.) 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 We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. * 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. Apply today and help define the data infrastructure behind the future of blockchain intelligence. 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 * Cycle to Work Scheme

Fresha

The AI-powered OS for beauty, wellness and self-care About Fresha Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.   Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.   The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google. Role overview Given our exciting and progressive growth plans, we are looking for a skilled and experienced Senior Data Engineer to join our team. This role will report to the Head of Data & Infrastructure and play a key part in levelling up our infrastructure and data pipelines. The ideal candidate will have a strong understanding of Kafka, Spark, Flink, and standard computer science concepts. They will also be a team player with excellent communication and problem-solving skills. We seek someone comfortable working with highly available, always-on systems, applying changes in a backwards-compatible fashion, without downtimes, while guaranteeing consistency and reliability, always with the customer in mind. This role is perfect for someone who thrives in a fast-paced environment, enjoys independent work, loves a challenge, and is eager to make a significant impact. To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from our dog friendly office four days per week, with the flexibility to work remotely one day each week. London office: The Bower, 207, 211 Old St, London EC1V 9NR

LiveScore Group

Soho, London Hybrid working: 3 days in the office Tues - Thurs The Role We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will be at the heart of architectural discussions, influencing system design and delivering the high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to tackle the challenge of optimising our data platforms for real-time AI/ML workloads, mentor talented junior engineers, and make a significant impact on our business.  At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top. We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users. We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you!  Key Responsibilities  * Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time workloads. * Partner with cross-functional teams to translate intricate business needs into effective and innovative data solutions. * Mentor and provide expert technical guidance to junior engineers, fostering a culture of continuous learning and growth. * Design data systems to solve problems and improve reliability & cost-effectiveness.  * Develop and maintain robust, secure integrations with core internal systems and critical third-party platforms.  * Implement advanced monitoring and alerting, to ensure high system reliability and minimal downtime.  Skills, Knowledge and Experience  * You have expert-level proficiency in a core programming language like Python, Java, or Scala, with an emphasis on AI/ML data processing. * You possess experience with cloud data services and technologies, ideally within the GCP ecosystem (e.g., Dataflow, Pub/Sub, BigQuery, Vertex AI). * Experience with Airflow environment management and Docker  * You can clearly and concisely explain intricate technical concepts to both technical and non-technical stakeholders. * You have extensive experience designing and optimising both real-time and large-scale batch data processing frameworks. * You have a proven ability to deploy and maintain data infrastructure using Infrastructure as Code (IaC) principles with tools like Terraform. * You can demonstrate the application of data governance, privacy, and security best practices in a regulated environment. * You are a proactive and curious problem-solver, skilled in anticipating and resolving system inefficiencies. * You work seamlessly with cross-functional teams, translating complex requirements into robust data solutions. * You take full responsibility for the quality, reliability, and performance of the data solutions you help create.  What can we offer?  * Company Performance Bonus * Flexible Working Agreements where applicable * Private Healthcare Scheme + Employee Enhanced Assistance * Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay * Subsidised Gym Membership * Annual Travel Card Loan & Ride to Work Scheme * Life Assurance (x3 salary) * Contributory Pension Plan * Virgin Family: Giving you access to exclusive Virgin offers and experiences * Thursday drinks in the office and regular socials