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

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

Winton

ABOUT WINTON Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. ----------------------------------------------------------------------------------------------------------------------------------   Winton leverages quantitative analysis and cutting-edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems.   As a Data Engineer within our Quantitative Platform team, you will play a pivotal role in building and maintaining the data infrastructure that fuels our research and trading strategies. You will be responsible for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines. Working closely with quantitative researchers and technologists, you will tackle complex challenges in data quality, normalization, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.   Your responsibilities will include: * Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet our stringent requirements for research and live trading. * Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices and ensuring seamless consumption by our automated trading systems. * Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for the efficacy of our quantitative strategies. * Providing expert operational support for our data pipelines, rapidly diagnosing and resolving critical issues to ensure the uninterrupted flow of high-availability data powering our daily trading activities. * Participating actively in team rotations, including on-call schedules, to provide essential coverage and maintain the resilience of our data systems outside of standard business hours. What we are looking for: * 1+ years’ experience building ETL/ELT pipelines using Python * Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg.  * A commitment to engineering excellence and pragmatic technology solutions. * A desire to work in an operational role at the heart of a dynamic data-centric enterprise. * Excellent communication and collaboration skills, and the ability to work in a team. What would be advantageous: * Strong understanding of financial markets. * Proficiency working with large financial datasets from various vendors. * Experience working with hierarchical reference data models. * Proven expertise in handling high-throughput, real-time market data streams * Familiarity with distributed computing frameworks such as Apache Spark * Operational experience supporting real time system   ---------------------------------------------------------------------------------------------------------------------------------- EQUAL OPPORTUNITY WORKPLACE We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.