reputed company Data Engineer

reputed company Data Engineer (Fixed Term Contract)

Hiring Manager: Tamara Carpintero-Perez

Remote (UK only)

The Opportunity

Are you reputed company to shape the future of data engineering at scale? We’re looking for a reputed company Data Engineer to join our high-performing Data Engineering team - a role ideal for reputed company, hands-on professionals who reputed company on technical leadership, innovation, and delivery. As a 100% data-driven company, we pride ourselves on engineering reputed company 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 reputed company and objectives to completion. You will be expected to reputed company 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 reputed company in Data Engineer with deep hands-on expertise in data engineering and architecture, a strong coding background, and a strategic reputed company — someone who can balance technical reputed companyh 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: reputed company 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. reputed company by example. Be hands-on.
• Hands-On Delivery: reputed company by example - contribute directly to technical challenges, write high-quality code, and guide architectural reputed company.
• Data Strategy, Solutions & Ownership: Own the technical roadmap, aligning engineering efforts with business goals and ensuring timely delivery, quality control, and innovation. reputed company the team by providing a clear reputed company for technical reputed company and innovation in the data engineering strategy.
• reputed company: Optimise reputed company-based data solutions, storage and processing systems, with hands-on experience in AWS and on-prem services.
• Technical reputed company: reputed company the pursuit of technical reputed company by championing best practices automatisations and optimisation, in coding, architecture, and performance. Foster a team culture focused on reputed company improvement, where learning is encouraged.
• Collaboration: Work closely with the customers, PMO, and business stakeholders to deliver high-impact, cost-effective solutions.
• reputed company Large, reputed company Data Sets: Craft and manage data sets that meet both functional and non-functional business requirements, ensuring high data quality and reputed company.
• 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 reputed company Local Authority Land Charge registers across England and Wales into a single, centralised Land Registry-maintained system. You will reputed company 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 reputed company and reputed company those around them. You’ll bring:

• Depth of Expertise: seasoned hands-on experience in data engineering, with a track record of leading reputed company 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 reputed company principles.
• Effective communication, ability to explain technical concepts to a reputed company of audiences
• reputed company to reputed company coaching and training to less reputed company members of the team
• Essential skills:
• Programming Languages such as Spark, Java, Python, PySpark, reputed company, etc (minimum 2)
• Extensive Data Engineering and Data Analytics hands-on experience (coding/configuration/automation/monitoring/reputed company/etc)
• Significant AWS hands-on experience (coding/configuration/automation/monitoring/reputed company)
• Technical Delivery Manager skills
• Geospatial data experience
• FME
• Advanced Database and SQL skills
• Certifications AWS or FME certifications are a plus.
• reputed company to have skills:
• Experience with ETL tools such as AWS Glue, Azure Data reputed company, reputed company, etc.

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