Data Engineer

I’m supporting an established technology consultancy that’s looking for a Client-Facing Senior Data Engineer to join their growing team. This is an opportunity to work directly with enterprise customers, designing modern data lakehouse architectures while acting as a trusted technical advisor throughout project delivery.

If you enjoy combining hands-on engineering with customer interaction, architecture discussions, and solving complex data challenges, this could be a great fit.

What you’ll be doing

• Design and deliver modern AWS-based data lakehouse solutions using services including S3, Glue, Athena, Lake Formation and Redshift.
• Build scalable, secure data pipelines with a strong focus on quality, governance and compliance.
• Implement PII protection, encryption, masking and access controls across enterprise data platforms.
• Design solutions that meet GDPR and regional data residency requirements.
• Act as a trusted advisor for customers, translating complex technical concepts into clear business language.
• Work closely with stakeholders ranging from engineering teams through to senior business leaders and executives.
• Collaborate with cross-functional teams including data analysts, security specialists and governance teams to deliver end-to-end solutions.
• Contribute to architecture decisions and help shape best practices across large-scale cloud data projects.

• Strong experience designing and implementing modern data lakehouse architectures.
• Hands-on AWS experience, including services such as S3, Glue, Athena, Lake Formation and Redshift.
• Experience with technologies such as Databricks, Delta Lake, Apache Flink or similar.
• Strong Python and SQL skills (Scala is a bonus).
• Good understanding of data governance, data security and GDPR compliance.
• Experience managing PII securely through encryption, masking and access controls.
• Excellent communication skills with experience working directly with customers or business stakeholders.
• A consultative mindset with the ability to explain technical solutions to non-technical audiences.
• AWS certifications are highly desirable.
• Experience within Media, Broadcast or Telecommunications would be advantageous.

Why join?

• Work on enterprise-scale AWS cloud and data transformation projects.
• Influence architecture decisions from day one.
• Collaborate with highly experienced cloud and data engineering teams.
• Ongoing investment in learning, certifications and professional development.
• Competitive salary and excellent career progression opportunities.