Senior Data Engineer

LiveScore Group·London, England, United Kingdomsenior

En corto

→Liderar el diseño y ejecución de pipelines de datos escalables en GCP para procesamiento en tiempo real.
→Dirigir arquitectura de datos, modelos y bases para analytics críticos con enfoque en rendimiento y seguridad.
→Destacar en optimización de costos, automatización y mentoría de ingenieros en un entorno híbrido en Londres.

Fluent English required for technical collaboration and documentation.

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¿Qué piden?

✓Experiencia líder en diseño de pipelines de datos en GCP.
✓Conocimiento avanzado de BigQuery, Dataflow, Pub/Sub y Cloud Storage.
✓Habilidad para modelar datos dimensionalmente y elegir bases de datos adecuadas (Bigtable, Spanner, Firestore).
✓Aptitud para liderar resolución de incidencias críticas y análisis de fallos.
✓Experiencia en orquestación con Cloud Composer y automatización de flujos de trabajo.
✓Capacidad para traducir necesidades de negocio complejas en soluciones técnicas efectivas.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

GCPBigQueryDataflowPub/SubCloud StorageBigtableSpannerFirestoreCloud ComposerGCP Security Practices

¿A quién escribirle en LiveScore Group?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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! 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.

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