Landmark Information Group

Head of Data Engineering

Landmark Information Group

full-time

Posted on:

Location Type: Hybrid

Location: 🇬🇧 United Kingdom

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Job Level

Lead

Tech Stack

AzureCloudETLPythonSQL

About the role

  • Design, evolve, and own the data platform architecture across cloud, hybrid, and on-prem environments
  • Remain hands-on with design and delivery, contributing to architectural decisions, technical reviews, and complex problem-solving
  • Lead the build and optimisation of robust, scalable data pipelines supporting analytics, products, and ML workloads
  • Define and implement engineering standards, patterns, and best practices
  • Work closely with Data Operations, Insight, and Product teams to deliver high-quality data services
  • Own the service model for data engineering, including reliability, performance, and operational excellence
  • Implement governance around access, retention, resilience, and recovery
  • Manage platform and team cost models with a clear understanding of technical trade-offs
  • Act as a senior technical leader, shaping strategy and influencing decisions across the Group

Requirements

  • Proven experience leading high-performing Data Engineering and Data Architecture teams
  • A strong track record of building enterprise-grade data integration and analytics platforms
  • Knowledge of the Azure data ecosystem (e.g. Azure SQL, Data Lakes, ADF, Power BI)
  • Strong hands-on understanding of SQL and Python
  • Strong awareness of, and appreciation for, open-source data technologies and ecosystems
  • Experience designing and consuming APIs
  • Expertise in ETL / ELT patterns, CI/CD, and infrastructure as code
  • Solid grounding in data modelling and scalable pipeline architecture
  • Experience supporting ML workloads and diverse data types
  • A strong operational mindset, with accountability for reliability, SLAs, and service quality
  • Understanding of Geospatial data would be hugely beneficial
Benefits
  • Competitive Salary
  • Generous Holiday Allowance: 25 days' holiday plus bank holidays, with the option of adding up to 5 additional unpaid leave days per year
  • Annual Lifestyle Allowance: £300 to spend on an activity of your choice
  • Pension Scheme: Matched up to 6% for the first 3 years, and up to 10% thereafter
  • Private Health Insurance: Provided by Vitality
  • Group Income Protection Scheme
  • Charitable Fundraising: Matched funding for your efforts
  • Cycle to Work and Gym Flex Schemes
  • Internal Coaching and Mentoring: Available throughout your time with us
  • Training and Career Progression: A strong focus on your development
  • Family-Friendly Policies

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data platform architecturedata pipelinesSQLPythonETLELTCI/CDdata modellingAPIsinfrastructure as code
Soft skills
leadershipproblem-solvingoperational mindsetaccountabilitycollaboration