igamingaipythondata engineeringetlawsdata modelingdata warehousingci cd
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$76к$94кмедиана$132к
16 в выборке
На СНГ рынке: $4.2к/мес ($3.5к - $5.9к)
73
Хорошая вакансия
развернуть
Роль описана понятно и предполагает лидерскую ответственность за масштабную data-платформу, но зарплата не указана, поэтому уровень компенсации остается неизвестным при медиане рынка около $100 000 в год.
Кликните для подробной информации
Ставки и гемблингЗарплата не указанаСовременные технологииПонятная зона ответственностиХороший соцпакет
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Data Engineer (Sports Betting): Designing, building, and optimizing scalable data pipelines, ETL/ELT processes, and cloud data infrastructure for a sports betting and media ecosystem with an accent on data quality, enterprise data modeling, and cost optimization. Focus on implementing data architecture, solving complex performance and reliability issues, mentoring engineers, and delivering auditable regulatory reporting solutions.
Location: Soho, London, United Kingdom; hybrid working with 3 days in the office from Tuesday to Thursday
Company
hirify.global operates an integrated ecosystem of sports media and sports betting products, including hirify.global, hirify.global Bet, and Virgin Bet.
What you will do
Provide technical leadership and act as a subject matter expert for data engineering projects and domains.
Design, build, test, and deploy scalable, reliable, and fault-tolerant data pipelines and ETL/ELT processes.
Implement data architecture blueprints across data warehouses, data lakes, data stores, and cloud infrastructure.
Contribute hands-on through coding, data modeling, infrastructure-as-code development, and platform configuration.
Ensure data quality, integrity, performance, monitoring, and operational cost efficiency.
Collaborate with architects, engineers, product managers, data scientists, and business stakeholders while mentoring junior and mid-level engineers.
Requirements
Senior or lead-level experience designing and optimizing complex, large-scale data pipelines and ETL/ELT processes.
Practical experience with enterprise data warehousing and integrated analytical data models.
Hands-on experience with cloud-native data services on AWS, GCP, or Azure.
Strong software engineering fundamentals, including Git, CI/CD, automated testing, Agile or Scrum, and clean coding practices.
Exceptional programming skills in at least one relevant language such as Python, Scala, Java, JavaScript, or C/C++.
Experience with relational, NoSQL, and analytical database systems, data architecture patterns, distributed systems, and regulatory reporting in gaming or another regulated industry.
Nice to have
Experience with Data Mesh, Data Lakehouse, Lambda, or Kappa architectures.
Fluency in AI prompting and awareness of emerging AI technologies.
Culture & Benefits
Company performance bonus and flexible working agreements where applicable.
Private healthcare scheme, enhanced employee assistance, and life assurance worth three times salary.
Enhanced maternity, shared parental, adoption, and paternity leave.
Access to Virgin offers and experiences, Thursday office drinks, and regular social events.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →