Description
data architecture
data pipelines
governance
engineering standards
service reliability
cost management
As Head of Data Engineering, you will set the direction for Landmark’s data platforms and lead teams responsible for delivering trusted, scalable, and high-quality data services to a wide range of consumers from analytics and insight to downstream products and services.
- Act as a senior technical leader, shaping strategy and influencing decisions across the Group
- Design, evolve, and own the data platform architecture across cloud, hybrid, and on-prem environments
- Lead the build and optimisation of robust, scalable data pipelines supporting analytics, products, and ML workloads
- Implement governance around access, retention, resilience, and recovery
- Define and implement engineering standards, patterns, and best practices
- Remain hands-on with design and delivery, contributing to architectural decisions, technical reviews, and complex problem-solving
- Own the service model for data engineering, including reliability, performance, and operational excellence
- Manage platform and team cost models with a clear understanding of technical trade-offs
- Work closely with Data Operations, Insight, and Product teams to deliver high-quality data services
Requirements
azure
etl/elt
ci/cd
sql
python
data modeling
You’re an experienced data engineering leader who combines technical depth with clear leadership and strategic thinking. You enjoy working at scale, navigating complexity, and enabling teams to do their best work.
At Landmark, data engineering is not a back-office function, it’s a core platform capability that underpins our products, insights, and decision-making across the Group. We’re looking for a hands-on Head of Data Engineering who enjoys designing modern data platforms, getting deep into architecture decisions, and leading by example.
This role is ideal for someone who wants to stay technically credible, shape strategy, and still be close to how things are built.
Most importantly, you’re someone who enjoys setting direction, raising standards, and inspiring teams.
- A strong track record of building enterprise-grade data integration and analytics platforms
- Proven experience leading high-performing Data Engineering and Data Architecture teams
- A strong operational mindset, with accountability for reliability, SLAs, and service quality
- Experience supporting ML workloads and diverse data types
- Knowledge of the Azure data ecosystem (e.g. Azure SQL, Data Lakes, ADF, Power BI)
- Expertise in ETL / ELT patterns, CI/CD, and infrastructure as code
- Solid grounding in data modelling and scalable pipeline architecture
- Strong hands-on understanding of SQL and Python
- Experience designing and consuming APIs
- Strong awareness of, and appreciation for, open-source data technologies and ecosystems
Benefits
At Landmark, you'll find a friendly, dynamic, and supportive team that values bold ideas, big dreams, and active curiosity. We foster a culture of innovation, encouraging everyone to contribute to the development and direction of our products and services, while continuously seeking new and efficient ways to work.
Remote (UK only)/Hybrid
- Group Income Protection Scheme
- Annual Lifestyle Allowance: £300 to spend on an activity of your choice
- Private Health Insurance: Provided by Vitality
- Pension Scheme: Matched up to 6% for the first 3 years, and up to 10% thereafter
- Charitable Fundraising: Matched funding for your efforts
- Cycle to Work and Gym Flex Schemes
- Training and Career Progression: A strong focus on your development
- 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
- Internal Coaching and Mentoring: Available throughout your time with us
Training + Development
Information not given or found
