обновлено 5 дней назад
Data Engineering Manager
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Manager (Data Platforms and Analytics): Leading a data engineering team building scalable data pipelines, platforms, and products with an accent on technical delivery, data reliability, and cross-functional collaboration. Focus on mentoring engineers, reviewing architecture and code, improving monitoring and incident response, and solving complex data engineering challenges.
Location: Edinburgh, UK — hybrid
Company
Group is a mobile gaming and wagering company operating sportsbook, casino, horse racing, fantasy sports, television, and streaming products across the United States, Canada, and other markets.
What you will do
- Lead and mentor a team of data engineers through coaching, technical guidance, and career development.
- Guide the design and implementation of scalable data pipelines, platforms, and data products.
- Review architecture and code, provide technical direction, and support resolution of complex engineering challenges.
- Collaborate with product managers, data scientists, analysts, and business stakeholders to prioritize work and deliver projects.
- Improve operational reliability through monitoring, alerting, incident response, data quality, governance, and compliance practices.
- Drive improvements in development workflows and team productivity.
Requirements
- 6+ years of experience in data engineering or software engineering, including 1–2 years in team leadership or mentorship.
- Experience building and maintaining data pipelines and platforms with tools such as Spark, dbt, Airflow, Kafka, or Databricks.
- Proficiency in one or more of Python, Scala, or Java, plus SQL.
- Experience with cloud data platforms such as AWS, GCP, or Azure.
- Experience with behavioural analytics tools and data, including Snowplow, Amplitude, or Google Analytics.
- Strong communication and cross-functional collaboration skills.
Nice to have
- People management or technical leadership experience in a data engineering or analytics team.
- Familiarity with machine learning workflows, data observability, and streaming architectures.
- Experience in a product-driven, customer-focused organization.
- Knowledge of data privacy, security, and compliance frameworks.
Culture & Benefits
- Collaborative, inclusive, and high-performance working environment.
- Professional development resources and mentorship opportunities.
- Flexible vacation allowance.
- Insurance and paid leave programs.
- Opportunity to build customer-facing gaming and sports products.
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