Lead Data Engineer ITV Careers

Deaf Unity; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Deaf Unity is seeking a Lead Data Engineer to act as a technical orchestrator within a real-time data ecosystem. You’ll balance data architecture with cloud-native infrastructure, guiding architecture while still delivering hands-on code.

Responsibilities include designing scalable data architectures, mentoring the team, and ensuring delivery with strong governance. The role is hybrid, requiring 1–2 days on-site in London, and offers permanent employment.

Qualifications

• Experience leading technical system designs in cloud-native, high-scale data environments.
• Hands-on engineering of real-time data ingestion/processing pipelines.
• Mentoring engineers and steering DevOps culture with a code-first approach.

Responsibilities

• Technical Orchestration: translate roadmaps into high-level designs for event-driven streaming solutions.
• Data & Infrastructure Architecture: architect real-time pipelines and align with cloud infrastructure teams.
• People Leadership & Mentoring: grow engineering capability, run code reviews, and define quality standards.
• Delivery Flow: break down requirements into technical tasks and manage a lean backlog.
• Operational Excellence & SLA Management: ensure reliability and implement proactive monitoring.
• Escalation & Support: participate in weekly rotations and lead RCAs when incidents occur.

Skills

Polyglot engineering

Cloud Native Expertise

Infrastructure as Code

Systems Thinking

Strategic communication

Edge compute familiarity

Tools

Terraform

Kubernetes

BigQuery

Job description

Workplace: White City, London – Hybrid 1-2 days a week on site

Contract Type: Permanent

The Role

As a Lead Data Engineer, you operate as a technical orchestrator and a guardian of excellence across our real-time operational data ecosystem. You are positioned at the critical intersection of high-level requirement analysis, distributed systems design, and hands‑on delivery.

You will balance deep data architecture with infrastructure architecture, bridging the gap between data pipelines and cloud‑native container platforms.

Your time will be balanced across three core pillars:

• 40% High-Level Design & Architecture: Reviewing incoming business requirements, driving technical discussions, and mapping out scalable, distributed data architectures.
• 40% Hands-On Engineering: Writing clean, testable code alongside the team, implementing core platform features, building reusable components and undertaking support requests.
• 20% Mentorship & Technical Governance: Cultivating the engineering squad’s capabilities, managing technical debt, and defining quality frameworks.

Key Responsibilities

• Technical Orchestration: Translate complex business roadmaps into high-level designs, defining the structures, components, and interactions of event‑driven streaming solutions.
• Data & Infrastructure Architecture: Architect high-throughput, real‑time data ingestion pipelines while partnering with DevOps specialists to ensure alignment with cloud infrastructure frameworks.
• People Leadership & Mentoring: Oversee the technical growth and motivation of the engineering squad, running code reviews, sharing knowledge, and embedding engineering best practices.
• Delivery Flow: Partner with the Engineering Manager and Product Managers to refine requirements into technical tasks, ensuring iterative delivery and a lean backlog.
• Operational Excellence & SLA Management: Guard platform reliability against extreme traffic loads, establishing a proactive monitoring strategy via Grafana/Prometheus.
• Escalation & Support: Participate in the team’s weekly support rotation as a high-level escalation point, leading Root Cause Analysis when critical operational challenges arise.

What You’ll Bring

• Polyglot Engineering Literacy: Strong backend development capability with a willingness to design, challenge, and review logic across Python and Go, with Java or Scala as valuable secondaries.
• Cloud Native Expertise: Extensive experience with the GCP Stack (GKE, Pub/Sub, BigQuery, Dataflow, Cloud Functions) and event-driven architectures.
• Infrastructure as Code: Deep understanding of automated infrastructure deployment using Terraform and container orchestration via Kubernetes.
• Systems Thinking: Ability to map out complex, multi-project data flows and microservices environments, ensuring modularity and resilience.
• Strategic Communication: Ability to articulate abstract technical designs clearly to both technical engineers and non‑technical stakeholders.
• Nice to Have: Familiarity with ESG and/or Sustainable Software Engineering principles to optimise cloud compute efficiency, or experience shifting data capabilities to “Edge” environments.

Minimum Criteria

• Demonstrable experience leading technical system designs and defining architecture in a high-scale, cloud-native operational data environment.
• Proven hands‑on engineering experience handling high-throughput, real‑time data ingestion and processing pipelines.
• Experience mentoring engineers, managing technical debt, and steering code‑first DevOps cultures.