Senior Data Engineer

Senior Data Engineer

Remote (UK Only)

Hiring Manager: Tamara Carpintero

The Opportunity

Are you ready to shape the future of data engineering at scale? We’re looking for a Senior 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.

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 and hard-working Senior 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.

 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, data solutions and pipelines.
• 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 of your projects, 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.
• Big Data On-prem & Cloud: Work with a team of talented data experts to deliver cutting-edge solutions in Azure and HDFS/Hadoop on-prem (Big Data), ensuring that best practices in data engineering and software development are followed. Lead by example. Be hands-on.
• 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, other peers, PMO, and business stakeholders to deliver high-impact, cost-effective solutions.

 About You

We're looking for a passionate, technically strong Data Engineer who can deliver 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 delivery of data projects.
• Exceptional coding skills.
• Degree in Computer Science, Software Engineering, or similar (applied to Data and engineering. Data Specialisation).
• Extensive experience in Data Engineering and some Data Analytics, with 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 hands-on experience (coding, configuration, automation, delivery, monitoring, security, etc)
  • ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones
  • Significant HDFS/Hadoop hands-on experience on-prem (coding, configuration, automation, delivery, monitoring, security, etc)
  • Extensive Big Data hands-on experience. Cloudera or similar ones.
  • Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse
  • Azure hands-on experience (coding, configuration, automation, delivery, etc)
  • Advanced Database and SQL skills
  • Certifications: Cloudera, Azure or FME certifications are a plus.
• Nice to have skills:
  • Geospatial data experience, FME, QGIS, PostGIS, etc
  • Data warehousing design patterns and implementation