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Landmark Information Group

Principal Data Engineer

Posted Yesterday
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Remote
Hiring Remotely in GBR
Senior level
Remote
Hiring Remotely in GBR
Senior level
Lead the Data Engineering team in designing data solutions, optimizing cloud infrastructure, and mentoring engineers while contributing to major projects like HMLR.
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Principal Data Engineer (Fixed Term Contract)

Hiring Manager: Tamara Carpintero-Perez

Remote (UK only)

The Opportunity

Are you ready to shape the future of data engineering at scale? We’re looking for a Principal Data Engineer to join our high-performing Data Engineering team - a role ideal for experienced, hands-on professionals who thrive on technical leadership, innovation, and delivery. As a 100% data-driven company, we pride ourselves on engineering excellence and delivering impactful solutions to our clients.

Reporting directly to the Head of Data Engineering, you will play a crucial role in driving the team’s vision and objectives to completion. You will be expected to provide technical leadership, own the solution, ensure the reliability of data products, and collaborate closely with your team and customers to optimise data solutions.

This is a unique opportunity for a highly skilled, energetic and motivated Senior Lead in Data Engineer with deep hands-on expertise in data engineering and architecture, a strong coding background, and a strategic mindset — someone who can balance technical depth with delivery focus and data analytical leadership.

In this role, you will:

  • Technical Leadership: Assist the Head of Data Engineering in overseeing the design, development, and optimisation of data software, data infrastructure and pipelines.
  • Team Technical Leadership: Lead and mentor a team of talented data experts, both permanents and contractors, to deliver cutting-edge solutions, ensuring that best practices in data engineering and software development are followed. Lead by example. Be hands-on.
  • Hands-On Delivery: Lead by example - contribute directly to technical challenges, write high-quality code, and guide architectural decisions.
  • Data Strategy, Solutions & Ownership: Own the technical roadmap, aligning engineering efforts with business goals and ensuring timely delivery, quality control, and innovation. Inspire the team by providing a clear vision for technical excellence and innovation in the data engineering strategy.
  • Cloud: Optimise cloud-based data solutions, storage and processing systems, with hands-on experience in AWS and on-prem services.
  • Technical Excellence: Lead the pursuit of technical excellence by championing best practices automatisations and optimisation, in coding, architecture, and performance. Foster a team culture focused on continuous improvement, where learning is encouraged.
  • Collaboration: Work closely with the customers, PMO, and business stakeholders to deliver high-impact, cost-effective solutions.
  • Assemble Large, Complex Data Sets: Craft and manage data sets that meet both functional and non-functional business requirements, ensuring high data quality and integrity.
  • HMLR Long-Term Programme: As your first major engagement, you will contribute to the HM Land Registry (HMLR) programme, expected to run through to the end of 2028. This is one of the UK Government’s largest and most ambitious digital data transformation initiatives, aiming to consolidate all Local Authority Land Charge registers across England and Wales into a single, centralised Land Registry-maintained system. You will empower the engineering team to deliver innovative solutions while fostering a collaborative and inclusive environment. As a mentor, you will support Data Engineers and Data Analysts in overcoming technical challenges and ensuring timely, high-quality delivery.

About You

We're looking for a passionate, technically strong leader who can inspire and elevate those around them. You’ll bring:

  • Depth of Expertise: seasoned hands-on experience in data engineering, with a track record of leading complex data engineering initiatives at scale. Extensive experience in designing, implementing, and optimizing data solutions, supported by a history of successfully managing technical teams and delivery of data projects.
  • Exceptional coding skills.
  • Degree in Computer Science, Software Engineering, or similar (applied to Data. Data Specialisation).
  • Extensive experience in Data Engineering and Data Analytics
  • Expert knowledge in data technologies and data transformation solutions and tools.
  • Strong analytical and problem-solving abilities.
  • Good understanding of Quality and Information Security principles.
  • Effective communication, ability to explain technical concepts to a range of audiences
  • Able to provide coaching and training to less experienced members of the team
  • Essential skills:
    • Programming Languages such as Spark, Java, Python, PySpark, Scala, etc (minimum 2)
    • Extensive Data Engineering and Data Analytics hands-on experience (coding/configuration/automation/monitoring/security/etc)
    • Significant AWS hands-on experience (coding/configuration/automation/monitoring/security)
    • Technical Delivery Manager skills
    • Geospatial data experience
    • FME
    • Advanced Database and SQL skills
    • Certifications AWS or FME certifications are a plus.
  • Nice to have skills:
    • Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks, etc.

Join us and lead the charge in transforming the data landscape at Landmark, while advancing your career in a dynamic and forward-thinking environment.


Top Skills

AWS
Aws Glue
Azure Data Factory
Databricks
Fme
Java
Pyspark
Python
Scala
Spark
SQL

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