Data Technical Lead

Salary: £52,000 - 92,000 per year

Requirements:

• We have demonstrable experience leading data engineering or data platform teams, setting direction while enabling engineers to own and deliver solutions.
• We have designed and delivered modern data platforms that are scalable, reliable and cost-effective in enterprise environments.
• We can make sound architectural decisions across ingestion, storage, processing, modelling, orchestration and serving.
• We apply strong software engineering practices to data platforms, including testing, CI/CD and infrastructure-as-code.
• We have established effective approaches to data quality, observability, governance, metadata and security.
• We can lead data platform modernisation and migration, including coexistence, cutover and decommissioning.
• We make pragmatic technology choices and understand the trade-offs between platform, storage, processing and integration patterns.
• We shape the end-to-end engineering lifecycle, improving how teams build, test, deploy and operate software and data products.
• We communicate clearly with engineers, clients and senior stakeholders, and can establish credibility quickly in complex delivery environments.
• We are comfortable with ambiguity, challenge assumptions and turn business problems into practical technical solutions.
• We can provide technical input into bids, proposals and client discussions, including shaping solution approaches and implementation plans.

Responsibilities:

• We work to agile best practices and cross-functionally with multiple teams and stakeholders.
• We use our technical skills to problem solve with clients, as well as work on internal projects.
• We steer technical teams through complex challenges and guide clients towards successful digital transformations.
• We provide mentorship to engineers and create an environment of continuous improvement.
• We take part in in-person whiteboarding sessions to solve problems as a team, alongside asynchronous communication on Teams.
• We help teams use GenAI effectively across engineering delivery, applying the right practices, controls and guardrails.
• We design and deliver scalable, secure and high-performing data platforms that support analytics, operational workloads, AI and emerging use cases.

Technologies:

• AI
• CI/CD
• Cloud
• Support
• Security
• Airflow
• AWS
• Azure
• Databricks
• DevOps
• ETL
• GCP
• GitHub
• Jenkins
• Kafka
• SQL
• Snowflake
• Spark
• Terraform
• dbt

More:

We believe in the power of ingenuity to build a positive human future. As strategies, technologies and innovation collide, we create opportunity from complexity. Our interdisciplinary teams combine innovative thinking and breakthrough technologies to progress further, faster, and we work with clients to achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists, with deep expertise across consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics and Netherlands. For this Data Platform Tech Lead role, we offer hybrid working with time in the office or on client site a minimum of 2 days per week, with the actual mix varying by role or assignment and potentially up to 5 days per week on a client site. You will join our Digital & Data community, working alongside product, design and cross-disciplinary experts to bring ideas to life through innovative software solutions. We offer a flexible and unique career in a trust-based, inclusive environment that values excellence, innovation and curiosity, with the option to progress on a technical career track. You can work across a broad variety of projects and tech stacks for clients across seven sectors, supported by a collaborative tech community with knowledge-sharing, coaching and mentoring, plus a culture of learning and growth with budget for training and certifications. We use the right technology for the problem and may work with cloud platforms, modern data platforms, data architecture patterns, data processing and storage technologies, pipelines, data quality tooling, orchestration, event streaming, governance, DataOps, platform engineering, CI/CD, modernisation and AI-enabled engineering approaches. Benefits include private healthcare, 25 days annual leave plus a bonus half day on Christmas Eve and the option to buy 5 additional days, a generous company pension scheme, community and charity initiatives, an annual performance-based bonus, PA share ownership, and tax-efficient benefits such as cycle to work and give as you earn. We are committed to inclusion, equality and supporting the physical, emotional, social and financial well-being of our people.

last updated 37 week of 2026