Data Engineer

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

Abound

About Abound We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us. About the Role As a Data Engineer within the Platform team, you will play a critical role in maturing and optimizing our Data Lake. Acting as a key bridge between Platform and Data Science, you will take ownership of the infrastructure and pipelines that power data-driven decision-making across the business. This is an Individual Contributor (IC) role with high impact and autonomy. In your first 6–12 months, your primary focus will be to evolve the Data Lake into a scalable, high-performance foundation for analytics and data science. You will migrate key production workloads- such as model calibration, ad-hoc analytics, and reporting- directly into the Data Lake, while redesigning data structures to improve query performance, reduce AWS costs, and ensure high data recency. You will also establish yourself as a trusted partner to the Data Science team, enabling faster experimentation and delivery through robust, well-designed data systems. Technology Stack * Cloud & Compute: AWS, ECS Fargate, AWS Lambda * Databases & Data Lake: Aurora (PostgreSQL, MySQL), Athena, DMS, Glue, Iceberg * Languages & IaC: Python, Spark, SQL * Observability & Tooling: Amazon Managed Prometheus (AMP), incident.io, GitLab What you'll be doing * Own and evolve the Data Lake infrastructure and ETL pipelines from day one * Migrate production workloads (e.g. model calibration, ad-hoc analytics, reporting) into the Data Lake * Partner closely with Data Science to understand workflows and enable scalable, efficient data usage * Redesign data structures and clustering strategies to improve query performance and data freshness * Optimize infrastructure to reduce AWS costs while maintaining reliability and scalability * Build robust, production-grade data systems using modern AWS tooling Who you are * Strong software engineering foundation with applied knowledge of SOLID principles in data systems * Proven experience building and maintaining Change Data Capture (CDC) pipelines, ideally with AWS DMS * Hands-on expertise with Spark and AWS Glue, including transforming RDS workloads into scalable pipelines * Highly proficient in SQL, particularly within transactional RDS environments * Experience implementing governance, standards, and best practices across data platforms * Comfortable owning systems end-to-end and working cross-functionally with technical stakeholders How we work * Ownership: You take responsibility for outcomes, not just tasks * Impact-Driven Work: You focus on results and step up during critical moments when needed * MVP Mindset: You prioritize speed and learning, accepting and managing technical debt when appropriate * Collaboration: You go beyond your role and avoid siloed thinking * Adaptability: You thrive in a fast-moving environment with shifting priorities * Pragmatism: You value sound judgment and lightweight processes over rigid bureaucracy What we offer * Everyone owns a piece of the company - equity * Hybrid with 3 days a week in the office * 25 days’ holiday a year, plus 8 bank holidays * 2 paid volunteering days per year * One month paid sabbatical after 4 years * Employee loan * Free gym membership * Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering

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