Published: Sun, 22 Jun 2025 20:50:47 GMT
Position: Principal Data Engineer (Fixed Term Contract)
Hiring Manager: Tamara Carpintero-Perez
Location: Remote (UK only)
Company Overview:
We are a data-driven company committed to engineering excellence and delivering impactful solutions to our clients. As we continue to grow, we are seeking a Principal Data Engineer to join our high-performing Data Engineering team. This role is ideal for experienced, hands-on professionals who thrive on technical leadership, innovation, and delivery.
Job Description:
Reporting directly to the Head of Data Engineering, the Principal Data Engineer will play a crucial role in driving the team’s vision and objectives to completion. This individual will provide technical leadership, own the solution, ensure the reliability of data products, and collaborate closely with the team and customers to optimize 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.
Responsibilities:
• Technical Leadership: Assist the Head of Data Engineering in overseeing the design, development, and optimization of data software, data infrastructure, and pipelines.
• Team Technical Leadership: Lead and mentor a team of talented data experts, both permanent and contractors, to deliver cutting-edge solutions, ensuring best practices in data engineering and software development are followed. Lead by example and be hands-on.
• Hands-On Delivery: Lead by example by contributing directly to technical challenges, writing high-quality code, and guiding architectural decisions.
• Data Strategy, Solutions & Ownership: Own the technical roadmap, aligning engineering efforts with business goals and ensuring timely delivery, quality control, and innovation. Provide a clear vision for technical excellence and innovation in the data engineering strategy.
• Cloud: Optimize 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 in coding, architecture, and performance. Foster a team culture focused on continuous improvement and learning.
• Collaboration: Work closely with 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 the first major engagement, contribute to the HM Land Registry (HMLR) programme, expected to run through 2028. Empower the engineering team to deliver innovative solutions while fostering a collaborative and inclusive environment. Mentor Data Engineers and Data Analysts to overcome technical challenges and ensure timely, high-quality delivery.
Requirements:
• 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 successfully managing technical teams and delivering data projects.
• Exceptional Coding Skills.
• Degree in Computer Science, Software Engineering, or similar (applied to Data. Data Specialization).
• Extensive experience in Data Engineering and Data Analytics.
• Expert knowledge in data technologies, data transformation solutions, and tools.
• Strong analytical and problem-solving abilities.
• Good understanding of Quality and Information Security principles.
• Effective communication skills, with the ability to explain technical concepts to a range of audiences.
• Ability to provide coaching and training to less experienced team members.
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 in AWS or FME 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. Apply link