{"id":2459895,"url":"https://alion.io/job/livescore-group-lead-data-engineer","title":"Lead Data Engineer","company":{"id":678947,"name":"LiveScore Group","domain":"livescore9.com","url":"https://alion.io/company/livescore9","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":188000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"C++","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"JavaScript","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-13T16:36:25Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T20:42:38Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Soho, London\nHybrid working: 3 days in the office Tues - Thurs\nThe Role\nTo provide technical leadership and hands-on contribution within a data engineering team, designing, building, and optimizing robust data pipelines and infrastructure for a global sports betting and media business. This role is crucial in delivering high-quality data solutions that support LiveScore’s strategic goals and embody our commitment to being Fan Driven and a Champion of Sport. You will mentor junior engineers and ensure technical excellence in your domain.\nAt 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.\nWe 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.\nWe 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! \nKey Responsibilities \nTechnical Leadership and Guidance: Act as a primary technical point of contact and subject matter expert for specific data engineering projects or domains, guiding team members through complex technical challenges and promoting innovative solutions.\n End-to-End Data Solution Development: Design, develop, test, and deploy highly scalable, reliable, and fault-tolerant data pipelines and ETL/ELT processes. This includes data ingestion from diverse sources, data transformation, and data loading into various data stores (e.g., data warehouses, data lakes).\nArchitectural Implementation: Work closely with Data Architects to translate architectural blueprints and standards into concrete implementations, ensuring new data components align with the overall data strategy and infrastructure requirements.\nMentorship and Skill Development: Actively mentor and coach junior and mid-level data engineers, providing constructive feedback, sharing technical knowledge, and fostering their growth in coding, data modeling, and general data engineering best practices.\nHands-On Contribution: Maintain a significant hands-on role in coding, data modeling, infrastructure-as-code development, and platform configuration, leading by example and ensuring high-quality output.\nData Quality and Performance Assurance: Take direct responsibility for ensuring the quality, integrity, and performance of data assets within their assigned domain or projects, implementing monitoring, validation, and optimization strategies.\nOperational Efficiency and Cost Optimization: Proactively identify and implement technical optimizations for data processing, storage, and infrastructure utilization to improve efficiency, reduce operational costs, and enhance system performance.\nCode Review and Best Practices: Lead and participate in rigorous code reviews, advocating for and enforcing engineering best practices, coding standards, and architectural patterns to maintain high code quality and system stability.\nComplex Problem Solving: Diagnose, troubleshoot, and provide effective solutions for highly complex data-related issues, incidents, and performance bottlenecks, often working under pressure.\nCross-Functional Collaboration: Collaborate effectively with other engineering teams, product managers, data scientists, and business stakeholders to understand data requirements, integrate solutions, and provide technical insights.\nSkills, Knowledge and Experience \nAdvanced Data Pipeline Expertise: Proven, in-depth experience as a senior or lead data engineer with a strong portfolio of hands-on contributions to designing, building, and optimizing complex, large-scale data pipelines and ETL/ELT processes.\n Enterprise Data Warehousing (EDW) and Data Modeling: Strong practical experience with EDW concepts, principles, and implementation, specifically including the design and practical application of a single, integrated data model for analytical purposes.\n Cloud Data Platforms: Hands-on experience with cloud-native data services and infrastructure on at least one major cloud provider (e.g., AWS services like S3, Redshift, Glue, EMR; GCP services like BigQuery, Dataflow, Pub/Sub; Azure services like Data Lake, Synapse Analytics).\nCost Optimization Strategies: Demonstrated ability to identify, propose, and implement technical solutions that lead to significant cost savings in data processing, storage, and infrastructure within a large-scale data environment.\n Software Engineering Fundamentals: Expert proficiency in software development methodologies (e.g., Agile, Scrum), version control (Git), CI/CD pipelines, automated testing, and comprehensive understanding of software engineering best practices.\n Programming Languages: Exceptional coding skills in at least one relevant programming language (e.g., Python, Scala, Java, JavaScript, C/C++), with a focus on writing clean, efficient, and maintainable code.\n Database Systems: Extensive experience with various database technologies including relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and analytical data warehouses (e.g., Snowflake, Redshift, BigQuery).\n Data Architecture Principles: Solid understanding of data architecture patterns (e.g., Data Mesh, Data Lakehouse, Lambda/Kappa architectures), distributed systems, and their practical application.\nRegulatory Reporting: Practical experience in developing and maintaining robust and auditable data solutions for regulatory reporting, particularly within the gaming or other highly regulated industries.\nAI: Fluent in AI prompting alongside staying ahead of emerging AI technologies.\nTechnical Leadership & Mentorship: A natural leader who can effectively guide, inspire, and technically mentor junior and mid-level engineers. Possesses the ability to break down complex problems, provide clear direction, and foster a learning environment, thereby enhancing team capabilities and promoting adherence to best practices.\nWhat can we offer? \nCompany Performance Bonus\nFlexible Working Agreements where applicable\nPrivate Healthcare Scheme + Employee Enhanced Assistance\nEnhanced 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\nSubsidised Gym Membership\nAnnual Travel Card Loan & Ride to Work Scheme\nLife Assurance (x3 salary)\nContributory Pension Plan\nVirgin Family: Giving you access to exclusive Virgin offers and experiences\nThursday drinks in the office and regular socials","description_format":"text","description_chars":7280,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Gym membership","Hybrid work","Parental leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Sports Betting","Sports Media"],"lifecycle":[{"event":"open","at":"2026-10-13T17:08:48Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":37,"reasons":["conf:1","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/livescore-group-lead-data-engineer","json_url":"https://alion.io/job/livescore-group-lead-data-engineer.json","meta":{"generated_at":"2026-10-14T21:36:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":29010,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":678947},"rest":"https://alion.io/mcp/rest/get_company?id=678947"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flivescore-group-lead-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flivescore-group-lead-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flivescore-group-lead-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/livescore-group-lead-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flivescore-group-lead-data-engineer"}]}