SP
SpecsaversData Engineer
Data Engineer designing and developing data solutions at Specsavers. Collaborating on data pipelines and migrations with analysts and stakeholders.
About the role
- Build, coach, and scale the Data Engineering and Analytics Engineering teams, fostering a culture of excellence, innovation, and accountability
- Set the vision, strategy, and standards for Taskrabbit's data platform; define and execute a strategic roadmap aligned with company objectives
- Design and build high-scale, reliable systems that ensure data accuracy, availability, and trustworthiness
- Implement best-in-class data warehousing practices and lead data model design and foundational improvements
- Manage data governance and create robust processes for data monitoring, alerting, and anomaly detection
- Champion and oversee the development of a semantic layer to enable self-service analytics and a single source of truth for key business metrics
- Define and manage SLAs for critical datasets and production processes; implement observability strategy including monitoring, alerting, and data quality checks
- Establish and enforce data lifecycle management policies, including retention and disposal procedures, and lead compliance initiatives in partnership with Information Security
- Implement a robust data quality framework to guarantee accurate, consistent, and reliable data for reporting and analysis
- Partner closely with Data Science, Machine Learning, Product, and Engineering to define roadmap and prioritize high-impact work
- Keep up with industry trends, identify new tools and methodologies, and drive innovation and modernization of the data platform
Requirements
- 5+ years of experience as a data engineering leader, with a proven track record of scaling, managing, and building high-performing, geographically distributed data teams
- 2+ years of experience establishing and enforcing data lifecycle management (such as data retention policies and data disposal procedures)
- Demonstrated experience in leading data initiatives for compliance, including working with regulations like GDPR, CCPA, or similar, and supporting organizations in successfully achieving and maintaining certifications such as SOC 2 or ISO 27001
- Skilled in coaching and leading other engineers, with the ability to provide deep technical guidance when needed
- Strong communication and leadership skills, with a bias for action and the ability to proactively drive complex projects to completion, and effectively communicate the business value of technical initiatives to stakeholders across the organization
- Experience leading a data organization through the implementation of security and compliance initiatives
- Deep experience with modern cloud platforms (e.g., AWS, GCP) and data warehouse technologies like Snowflake
- Expertise in SQL, data modeling, and at least one scripting language (e.g., Python)
- Experience with modern data stack tools such as dbt, Airflow, and BI/visualization tools like Looker or Sigma
- Experience with or a strong understanding of semantic layer technologies (e.g., dbt Semantic Layer, LookML) is a significant plus
- Expertise in Agile/Lean software development methodologies
- BA/BS in Computer Science, Math, Physics, or another technical field
Benefits
- employer-paid health insurance
- 401k match with immediate vesting for US based employees
- Generous and flexible time off with 2 company-wide closure weeks
- Taskrabbit product stipends
- Wellness, productivity, and education stipends
- IKEA discounts
- Reproductive health support
- Hybrid work (2 days per week in San Francisco or New York City starting September 2025)
- Benefits vary by country of employment
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