Data Engineer - Core systems

Data Engineer

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

Software Engineer - Core Database (Kernel)

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: Do you like to solve advanced and complex computer science problems? Do you want to be part of a team that values user success and where you can have intellectually honest discussions? We are looking for an experienced backend engineer who is able to solve technical challenges and deliver high-quality code to join our talented, innovative Kernel team. You will be part of a brilliant, energetic, and fun team of engineers working on the development of the storage engines, transaction handling, indexes, data import and page cache in order to build the core of the graph database! You will be part of an international team based in Malmö and London. What you will do: * Build and ship new features for the core of the leading graph database * Write high-quality, testable, and efficient code * Promote new ideas, take an active part in features discussions and roadmap prioritisation * Integrate research and technologies into the database core - the team regularly reads research papers to see if there are some new ideas to incorporate into the product * “Do what you want weeks” to work on your own product enhancements and integrations You'll thrive in this role if: * You have experience designing multi-threaded systems and algorithms * You have a deep understanding of system design, data structures, and algorithms * You are proficient in Java or a C-style programming language * You have strong troubleshooting skills * You have knowledge about performance profiling and optimisation * You have experience with leading and delivering development projects * You are humble. Being able to discuss ideas and, challenge each other to build better solutions together * You have good communication skills and a sense of humour!   You may also have experience and interest in the following: * Database management systems * Deep JVM experience * Experience with large codebases #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Research Data Engineer

Relation Therapeutics

ABOUT RELATION Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. THE OPPORTUNITY Relation is offering an outstanding opportunity for a Research Data Engineer to design and build the data systems that power the next generation of predictive models of cellular behaviour. We generate complex and high-dimensional datasets across modalities at scale. What we can model, and the pace at which we iterate, is determined by the quality of the data layer. This role focuses on making our datasets efficient for analysis and ML model training through deliberate systems design: storage layouts, access patterns, distributed systems to move data from instrument to models, modality-specific format decisions, query and serving layers tuned for GPU-saturated training, and upholding the data contract between the wet lab and ML teams. DAY TO DAY, YOU WILL * Design, build, and maintain scalable data pipelines that ingest multi-modal scientific data. * Optimise data movement, storage layouts, and access patterns for analytical and ML workloads. * Stand up and evolve cloud-native data lake / lakehouse infrastructure. * Implement data versioning, lineage, and quality monitoring. * Partner with data scientists day-to-day to ensure fast and seamless data workflows. * Collaborate closely with ML scientists and research engineers to design data representations, storage layouts, and access patterns that enable efficient model training and experimentation. * Build and operate workflow orchestration for both production pipelines and large-scale batch jobs. * Ensure infrastructure meets security, audit, and governance requirements. * Champion engineering best practices across the data platform. * Contribute to architecture decisions across the broader ML platform, including how compute, data, and training systems integrate. PROFESSIONALLY, YOU WILL HAVE * A degree in Computer Science, Engineering, or a related quantitative discipline; significant industry experience in data engineering, MLOps, or data platform roles. * Excellent Python engineering skills. * Deep experience with cloud-native data infrastructure (AWS S3 / GCS, plus the surrounding ecosystem) and Infrastructure-as-Code (Terraform or equivalent). * A track record of designing data pipelines and storage layouts for large, heterogeneous datasets. * Experience building scalable analytical data processing workflows using modern engines and frameworks (e.g. Spark, Polars, Dask, DuckDB, or equivalent), with an understanding of their performance and architectural trade-offs. * Hands-on experience with workflow orchestration (e.g. Airflow, Dagster, Prefect, or equivalent) and containerised environments (e.g. docker, k8s). * Working knowledge of modern columnar / scientific data formats (Parquet, Zarr, TileDB, HDF5) and lakehouse technologies. * Experience partnering closely with scientific or research users and comfortable with the messiness of real-world experimental data. * Bonus experience: biomedical or genomics data (BAM, FASTQ, AnnData, OME-Zarr); regulated or pharma-partnered environments; data governance, FAIR principles, or research data management; feature store implementations. PERSONALLY, YOU * Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. * Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. * Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. * Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. * Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. WORKING STYLE & CULTURE AT RELATION At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! RECRUITMENT AGENCIES Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.