2 часа назад
Senior Engineering Manager - Data Engineering (Cybersecurity)
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
Senior Engineering Manager - Data Engineering (Cybersecurity): Leading and scaling an established data engineering team while modernizing the cloud data platform that powers insights and decision-making across a cyber resilience business, with an accent on data architecture, platform reliability, and team development. Focus on defining data strategy, evolving warehouses and orchestration tooling, and building scalable, secure data solutions through cross-functional leadership.
Location: Hybrid in Bristol, United Kingdom
Company
develops One, a cybersecurity platform that helps organizations test cyber resilience, validate AI-enabled workflows and agents, and improve readiness through evidence-based insights.
What you will do
- Lead and develop an established team of 8+ data engineers through coaching, mentoring, goal-setting, and technical leadership.
- Define and execute the data engineering strategy and modernization roadmap in alignment with product and business priorities.
- Modernize the cloud data warehouse, orchestration layer, and engineering tooling to improve scale, performance, reliability, and data quality.
- Set delivery timelines, performance metrics, and quality standards while maintaining strong engineering practices.
- Partner with product, analytics engineering, and commercial teams to connect data strategy with business outcomes.
- Represent data engineering with senior leadership and guide the adoption of scalable, secure, future-proof solutions.
Requirements
- 3+ years of experience leading data engineering, analytics engineering, or platform teams.
- Strong understanding of modern data architecture, data integration, orchestration patterns, and cloud platforms such as AWS, GCP, or Azure.
- Technical knowledge of SQL, data modeling, pipeline design, dbt, Airflow, Fivetran, and similar tools.
- Experience with BigQuery, Redshift, or Snowflake, including performance optimization, partitioning, and data quality practices.
- Experience defining technology or data strategy, managing stakeholders, and measuring team effectiveness through KPIs and business outcomes.
- Familiarity with infrastructure as code concepts such as Terraform or CloudFormation and CI/CD practices.
Culture & Benefits
- Flexible and remote working options alongside a hybrid UK hub environment.
- 25 days of annual leave, two volunteering days, a birthday day off, and up to 30 days of holiday after five years.
- Enhanced parental leave, private healthcare, critical illness cover, mindfulness groups, and a 7% matched pension.
- Professional development funding and a separate fund for non-work-related learning.
- Inclusive, collaborative culture with team events, recognition programs, and flexible working options including adjusted hours.
- Bristol hub located in the city centre near the train station, with railcard and cycle scheme support.
Hiring process
- Applications are followed by a recruitment process with details provided through the dedicated interview process information.
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