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Technical Lead Data engineering

Job in City of Westminster, Central London, Greater London, England, UK
Listing for: Onyx-Conseil
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: City of Westminster

The Role

Technical Lead - Data Engineering and play a critical role in driving our enterprise data platform strategy. You will lead the design, development, and delivery of modern data solutions using Snowflake, DBT, Azure/AWS, Python, Airflow, and CI/CD technologies. This role combines deep technical expertise with leadership responsibilities, guiding engineering teams, defining best practices, and ensuring the successful delivery of scalable, secure, and high-performing data platforms.

Your

responsibilities
  • Lead the design and implementation of scalable and secure data platforms using Snowflake, DBT, Airflow, Python, and Azure/AWS services.
  • Define technical architecture, coding standards, engineering best practices, and development frameworks for the data engineering team.
  • Drive the adoption of CI/CD pipelines using Git Hub Actions, Azure Dev Ops, Jenkins, or similar tools to automate build, test, deployment, and release management processes.
  • Lead the development, optimization, and maintenance of complex ETL/ELT pipelines for large-scale data processing.
  • Establish Dev Ops and Data Ops practices to improve deployment efficiency, reliability, and operational excellence.
  • Mentor and coach data engineers through technical guidance, code reviews, architecture reviews, and knowledge-sharing sessions.
  • Collaborate with enterprise architects and business stakeholders to translate business requirements into scalable technical solutions.
  • Own platform reliability, monitoring, performance tuning, and troubleshooting of production data pipelines.
  • Implement Infrastructure as Code (IaC) using Terraform/Terragrunt to automate cloud resource provisioning.
  • Drive data quality, governance, security, and compliance standards across the data ecosystem.
  • Lead technical discussions, solution design workshops, and project planning activities.
  • Evaluate emerging technologies and recommend innovative approaches to improve data engineering capabilities and delivery processes.
  • Support Agile delivery and provide technical leadership throughout the project lifecycle.
Technical Leadership
  • Proven experience as a Technical Lead, Lead Data Engineer, or similar leadership role.
  • Experience leading distributed development teams and delivering large-scale data engineering projects.
  • Strong stakeholder management and technical decision-making capabilities.
Python & Data Engineering
  • Expert-level proficiency in Python for data engineering, automation, orchestration, and application development.
  • Strong experience developing scalable ETL/ELT frameworks using Python and SQL.
  • Hands‑on experience with DBT, Airflow, Snowflake, and cloud-native data services.
CI/CD & Dev Ops
  • Strong experience designing and implementing CI/CD pipelines using Git Hub Actions, Azure Dev Ops, Jenkins, Git Lab CI/CD, or similar platforms.
  • Experience implementing automated testing, code quality checks, release management, and deployment automation.
  • Strong understanding of Dev Ops, Data Ops, CI/CD best practices, and release governance.
Cloud & Platform Engineering
  • Extensive experience designing cloud-based data solutions on Azure and/or AWS.
  • Strong knowledge of cloud security, networking, monitoring, and operational best practices.
  • Experience with Infrastructure as Code using Terraform and Terragrunt.
Data Architecture
  • Expertise in Data Vault, dimensional modelling, data warehousing, and modern data platform architectures.
  • Advanced SQL development and performance optimization skills.
Communication & Stakeholder Engagement Desirable Skills / Knowledge / Experience
  • Experience with Generative AI and AI-powered data engineering solutions.
  • Experience with Power BI, Micro Strategy, or other BI tools.
  • Knowledge of Kubernetes, Docker, and containerized deployments.
  • Experience with Databricks and modern lakehouse architectures.
  • Azure Data Factory, Synapse Analytics, or AWS Glue experience.
  • Experience implementing Data Ops frameworks and observability platforms.
  • Exposure to enterprise architecture and governance frameworks.
  • Languages:

    Python (primary), SQL, Bash
  • Cloud:
    Azure, AWS
  • Tools:
    Airflow, DBT
  • Data:
    Snowflake, Delta Lake, Redis, Azure Data Lake
  • Infra & Ops:
    Terraform, Git Hub Actions, Azure Dev Ops, Azure Monitor

LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.

A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise:
International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any…

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