Senior Data Engineer

Soho, London Hybrid working: 3 days in the office Tues - Thurs The Role We are seeking a Senior Data Engineer to join our Data Team, taking a leading role in building the complex, scalable systems that power our data strategy. You will lead architectural discussions, own the design of business-critical data solutions and deliver high-quality systems that bring millions of fans closer to the sports they love. This is a fantastic opportunity to lead the optimisation of our data platforms for real-time AI/ML workloads, mentor engineers and make a significant impact on our business. The Senior Data Engineer leads technical initiatives, maintains data integrity and performance, and works across teams to translate complex business requirements into effective data solutions. The role also uses automation and artificial intelligence to improve efficiency, decision-making and productivity across the organisation. 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  * Lead the design and delivery of robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage. This includes integrating data from various sources, ensuring data quality and enabling real-time processing capabilities. * Own the design of data models and databases that support business analytics and intelligence, using dimensional data-modelling principles. Select and use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability. * Lead the automation of data workflows and optimisation of data storage and processing costs within GCP. Use tools such as Cloud Composer for orchestration and establish best practices in performance tuning. * Ensure data security by implementing GCP security practices. Manage access controls, comply with data-governance policies and safeguard sensitive information. * Work closely with data engineers, business analysts and IT teams to define data requirements and deliver comprehensive data solutions. Provide technical leadership and guidance to team members. * Evaluate new GCP features and data-engineering technologies, setting technical direction where they can enhance data infrastructure or enable new data products. * Lead the resolution of critical pipeline failures and data-quality incidents, performing fault analysis and ensuring that preventative improvements are implemented. * Lead critical system-design and architectural decisions for scalable batch and real-time workloads. * Partner with cross-functional teams to translate complex or ambiguous business needs into effective and innovative data solutions. * Mentor engineers, review technical designs and foster a culture of continuous learning and engineering excellence. * Own improvements to the reliability, performance and cost-effectiveness of data systems. * Lead the design and maintenance of robust, secure integrations with core internal systems and critical third-party platforms. * Define appropriate monitoring and alerting standards to ensure high system reliability and minimal downtime. Skills, Knowledge and Experience  * Significant experience in data engineering or data warehousing with large-scale, complex datasets. * Advanced SQL and Python skills, with experience using AI-assisted development tools appropriately. * Strong knowledge of data-modelling techniques. * Deep experience with cloud data services and technologies, ideally within the GCP ecosystem, such as Dataflow, Pub/Sub, BigQuery or Vertex AI. * Proven experience designing and implementing robust ELT pipelines, including real-time and large-scale batch processing. * Proven ability to deploy and maintain data infrastructure using Infrastructure as Code principles and tools such as Terraform. * Experience with Airflow environment management and Docker. * Experience contributing to an AI roadmap and evaluating AI tooling, including coding agents, for use within the development lifecycle. * The ability to explain complex technical concepts clearly and concisely to technical and non-technical stakeholders. * Demonstrable experience applying data-governance, privacy and security best practices in a regulated environment. * A proactive and curious approach, with the ability to anticipate and resolve system inefficiencies. * The ability to lead cross-functional technical work and translate complex or ambiguous requirements into robust data solutions. * A track record of taking end-to-end ownership for the quality, reliability and performance of business-critical data solutions. * Experience mentoring engineers and influencing technical standards across a team. 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

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer, you will design and build scalable data pipelines and data infrastructure that power Smart SMS features, including SMS categorization, fraud detection, spam intelligence, and AI-driven capabilities. You will work closely with Data Scientists, Data Analysts, and Product teams to develop robust data platforms, enable feature engineering for ML models, and deliver reliable datasets that drive product insights and decision-making for over a million daily users. What you'll do: * Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within defined SLAs * Provide support for all teams in building and optimizing their complex pipelines * Work closely with other teams to identify pain points and problems around the platform * Develop new tools and frameworks to improve the data platform * Facilitate a company-wide, data-driven culture * Work in close collaboration with data scientists and data analysts to help support their work going into production * Work on large-scale projects such as building an ML platform and streaming use cases * Set up best practices and processes around software and data development What you bring in: * Experience working with an orchestration tool (e.g., Airflow) * Experience working with large data sets * Experience building complex ETL pipelines * Experience working with cloud providers such as GCP * Strong programming skills in Spark with Scala and Python * Experience working with CI/CD tools like Jenkins and Git * Strong understanding of software engineering practices and principles * Excellent problem-solving and communication skills * Self-motivated with a proven ability to take initiative to own and solve problems as they come up It would be great if you also have: * Experience working with messaging systems like Kafka * Knowledge of Kubernetes * Hands-on experience with any streaming platform * Experience managing a data warehouse in BigQuery or Redshift What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.