{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Technical Lead Engineer”, “description”: “
Responsibilities
- Act as the technical lead for engineers working cross‑functionally in an agile environment – leading, coding, and deep diving into components and features to uplift capability and shape engineering maturity across the domain.
- Define and guide the technical architecture for complex, high‑impact data products and platforms, managing Solution Architects and bridging Data Engineering with Data Architecture and wider Technology.
- Establish engineering patterns, coding standards, and best practices adopted across multiple squads.
- Translate sophisticated business and technical requirements into scalable, cloud‑native data solutions, building frameworks that support CI/CD pipelines and future capability.
- Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products.
- Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction, collaborating with Principal Engineer peers to ensure consistent approaches to priority challenges.
- Communicate complex technical ideas in plain terms to stakeholders at all levels.
Qualifications
- Deep expertise in cloud data engineering, distributed processing, and enterprise‑scale data architecture, with strong GCP/Python and/or Node.js 8+ knowledge and CI/CD experience (ideally with Jenkins).
- Advanced SQL proficiency (ideally BigQuery) with strong optimisation and performance‑tuning skills, and experience with coding standards and peer code reviews.
- Strong capability in designing intuitive, scalable data models and semantic layers, plus advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity.
- Ability to influence senior stakeholders and simplify complex concepts, building strong cross‑functional relationships.
- Expertise in data quality frameworks, governance standards, and secure handling of sensitive data, connecting engineering choices to long‑term platform strategy and organisational goals.
- Excellent communication skills, capable of conveying complex data principles to non‑experts and gaining support.
Diversity and Inclusion
Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion, investing in society, fighting racial injustice, and setting ambitious targets for representation at Sky.
#J-18808-Ljbffr”, “datePosted”: “2026-05-17”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Sky UK”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__434430696__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }Company: Sky UK
Location: London
Job Description:
Responsibilities
- Act as the technical lead for engineers working cross‑functionally in an agile environment – leading, coding, and deep diving into components and features to uplift capability and shape engineering maturity across the domain.
- Define and guide the technical architecture for complex, high‑impact data products and platforms, managing Solution Architects and bridging Data Engineering with Data Architecture and wider Technology.
- Establish engineering patterns, coding standards, and best practices adopted across multiple squads.
- Translate sophisticated business and technical requirements into scalable, cloud‑native data solutions, building frameworks that support CI/CD pipelines and future capability.
- Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products.
- Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction, collaborating with Principal Engineer peers to ensure consistent approaches to priority challenges.
- Communicate complex technical ideas in plain terms to stakeholders at all levels.
Qualifications
- Deep expertise in cloud data engineering, distributed processing, and enterprise‑scale data architecture, with strong GCP/Python and/or Node.js 8+ knowledge and CI/CD experience (ideally with Jenkins).
- Advanced SQL proficiency (ideally BigQuery) with strong optimisation and performance‑tuning skills, and experience with coding standards and peer code reviews.
- Strong capability in designing intuitive, scalable data models and semantic layers, plus advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity.
- Ability to influence senior stakeholders and simplify complex concepts, building strong cross‑functional relationships.
- Expertise in data quality frameworks, governance standards, and secure handling of sensitive data, connecting engineering choices to long‑term platform strategy and organisational goals.
- Excellent communication skills, capable of conveying complex data principles to non‑experts and gaining support.
Diversity and Inclusion
Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion, investing in society, fighting racial injustice, and setting ambitious targets for representation at Sky.
#J-18808-Ljbffr…
Posted: May 17th, 2026