Lead Data Engineer

🕒 il y a 9 jours

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Midnite

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2015

🎲 Jeux d'argent

👥 B2C

Gambling • B2C

Midnite est une entreprise de paris numérique axée sur le consommateur qui exploite une application moderne de paris sportifs et de casino en ligne. Se positionnant face aux bookmakers traditionnels, Midnite met l'accent sur une expérience mobile nouvelle et conviviale pour les amateurs de sportsbook et de casino, en visant à moderniser et améliorer la manière dont les fans interagissent avec les produits de paris. L'entreprise s'adresse directement aux consommateurs et met en avant une conception de produit et d'expérience centrée sur l'équipe pour attirer et fidéliser les joueurs.

Description

• Partner with the Head of Data to own the technical strategy for data engineering, ensuring our stack scales with the business. • Design, maintain, and evolve robust data pipelines and architecture to support reliable analytics and lower-latency opportunities over time. • Build a platform that enables analysts to self-serve and stakeholders to make better decisions. • Help shape repeatable architecture for multi-territory expansion. • Oversee the implementation of data models and frameworks that support analytics and business intelligence. • Drive engineering best practices across testing, monitoring, version control, automation, and pragmatic design. • Lead code reviews, raise quality standards, and ensure technical debt is managed proactively. • Mentor engineers, support career development, and provide lightweight people management while staying hands-on. • Stay ahead of industry trends, introducing tools and methods that future-proof the data platform without overcomplicating it.

🎯 Exigences

• Is a software engineer first who has specialised in data/platform engineering. • Has strong software engineering fundamentals. • Has strong Python or equivalent production engineering capability. • Has SQL capability; Snowflake experience is a bonus, but engineering depth matters more than exact tool match. • Has data modelling and architecture breadth, and can explain trade-offs clearly. • Has experience with orchestration frameworks such as Dagster, Airflow, or Prefect. • Has hands-on experience with modern data warehouses/lakehouse patterns and cloud infrastructure. • Is comfortable with platform/infrastructure thinking across tools such as dbt, Docker, Terraform, AWS, Iceberg, or similar. • Is a hands-on leader: data engineer first, people manager second. • Thrives in a start-up/scale-up environment and brings a pragmatic, impact-focused mindset.

🏖️ Avantages

• Private health insurance with zero excess, including optical cover and optional dental. • Income protection to protect your earnings and give you peace of mind. • Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years. • Flexible working and a fully supported home office setup so you can do your best work from home. • Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees. • Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want. • Retail discounts and subscription perks across a wide range of brands. • Quarterly team socials to connect, celebrate and have fun together.