Engineering Manager (Data Direction)
New
UKFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- Data engineeringCI/CDStakeholder managementData modelingSoftware EngineeringDistributed Systems
Requirements
- 5+ years of professional experience in software engineering, data engineering, or related technical fields.
- Proven experience leading engineering teams as an Engineering Manager, Team Lead, or similar leadership role.
- Strong understanding of data engineering, backend systems, and data architecture principles.
- Experience delivering complex production-grade data platforms or systems in demanding environments.
- Solid knowledge of modern data platforms, including data modeling, distributed processing, pipeline orchestration, warehousing, and lakehouse technologies.
- Hands-on experience with batch and streaming data systems, infrastructure automation, deployment strategies, and CI/CD workflows.
- Familiarity with data observability practices, including data quality monitoring, metrics, logging, alerting, lineage, and performance optimization.
- Strong leadership, communication, mentoring, and stakeholder management skills.
Responsibilities
- Lead, mentor, and develop cross-functional data and platform engineering teams, supporting career growth and fostering a culture of ownership and collaboration.
- Own delivery, quality, and technical outcomes for data platform initiatives, ensuring alignment with business priorities.
- Partner with Product, Analytics, Data Science, Machine Learning, and engineering leadership to define and execute a scalable platform roadmap.
- Drive improvements across engineering processes, including planning, estimation, CI/CD practices, testing, code reviews, and release management.
- Contribute to architectural decisions involving modern data systems, including batch processing, streaming, lakehouse architectures, and hybrid infrastructure.
- Ensure high availability, scalability, performance, observability, and reliability across production data pipelines and platform services.
- Embed security, privacy, data governance, compliance, and data lineage principles into platform design and development practices.
- Identify and reduce technical and data debt while maintaining strong delivery momentum.
- Support hiring initiatives, team growth, and the evolution of engineering practices.
- Promote continuous improvement through strong technical standards, effective communication, and customer-focused engineering decisions.
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