Data Engineer

Data Engineer Consultancy

Location: Edinburgh or London (Hybrid Client-Site as Required)
Employment Type: Full-Time | Permanent

About the Company

Our client is a forward thinking and driven consultancy with a strong market presence, a high-calibre team, and an enviable work environment. They specialise in delivering cutting-edge data solutions, helping clients leverage cloud technologies to drive business success.

As they continue to grow, they are looking for experienced Data Engineers with strong analytical skills to join their team. If you thrive in a fast-paced, collaborative setting and enjoy solving complex data challenges, this is an exciting opportunity to work on high-impact projects.

Key Responsibilities

• Design, build, and optimize scalable data solutions.
• Develop and maintain data pipelines, ensuring efficiency and reliability.
• Utilize SQL, Python, and Power BI to process and analyse data.
• Work with AWS, Azure, or GCP to build cloud-based data platforms.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Ensure data quality, governance, and best practices in data engineering.
• Support data analysis efforts, providing actionable insights to clients.

Key Requirements

Minimum 3+ years hands-on experience in a Data Engineering role.
Background in Consultancy or Financial Services (preferred).
Strong expertise in AWS, Azure, or GCP.
Proficiency in SQL, Python, and Power BI.
Proven ability to build and optimize scalable data solutions.
Strong problem-solving and analytical skills.

Why Join?

• Work with a high-performing, driven team in an exciting consultancy environment.
• Opportunity to develop cutting-edge cloud data solutions.
• A work-hard, play-hard culture where your skills and contributions shine.
• Flexible hybrid working predominantly remote but requires on-site presence when needed.
• Must be within commuting distance of central Edinburgh or London.

Interested? Get in touch for a confidential discussion: cath@lokirecruitment.com