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Data Technical Lead

Job in City of Westminster, Central London, Greater London, England, UK
Listing for: PA Consulting
Part Time position
Listed on 2026-09-06
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: City of Westminster

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 teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.

We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in 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.

Job Description

Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.

We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.

  • Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions.
  • Grow a flexible and unique career within a trust-based,inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do.
  • Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week.
  • Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same
  • Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring
  • Deepen your expertise through oura culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications

We believe in using the right technology for the problem rather than prescribing a single stack. As a Data Platform Tech Lead, you can expect to design and deliver scalable,secureand high-performing data platforms that support analytics, operational workloads,AIand emerging usecases.

You may work with technologies and architectural approaches including, butnotlimited to:

  • Cloud platforms:

    AWS,Azureand GCP
  • Modern data platforms:

    Databricks, Snowflake and cloud-native data services
  • Data architecture:

    Lakehouse, medallion, datameshand domain-oriented patterns
  • Data processing:

    Apache Spark,SQLand distributed processing technologies
  • Data storage:

    Delta Lake, Apache Icebergand open table formats
  • Data pipelines:

    Enterprise-scale ETL/ELT,batchand streaming patterns
  • Transformation and quality:dbt, Great Expectations and equivalent tooling
  • Orchestration:

    Apache Airflow and cloud-native orchestration services
  • Event streaming:

    Kafka and cloud-native event-streaming technologies
  • Data modelling:

    Dimensional,analytical and domain-oriented modelling
  • Data governance:

    Catalogue, metadata, lineage, quality, security,privacy and access controls
  • Data products:

    Reusable, discoverable and well-governed dataproductsand marketplaces
  • Data Opsand observability:

    Testing, monitoring, operationalcontrolsand platform reliability
  • Platform engineering:

    Terraform, Cloud Formation, Azure Bicep and infrastructure-as-code
  • CI/CD:

    Git Hub Actions, Azure Dev Ops,Jenkinsand equivalent tooling
  • Modernisation:

    Greenfield delivery,migration and integration of complex legacy data estates
  • AI-enabled engineering:

    GenAI-assisted development, agentic workflows and appropriate engineering,security and governance controls.

What you can expect

  • Work to agile best practices and cross-functionally with multiple teams and stakeholders.

    You’llbe using your technical skills to problem solve with our clients, as well as working on…
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