Data Engineer to Data Architect (Remote UK)

Opus Recruitment Solutions Limited; Greater London; Remote; GBP 55,000 - 75,000; Full time

Job summary

Opus Recruitment Solutions Limited is seeking Data Engineers who are passionate about delivering modern data solutions and are interested in developing their careers towards Data Architecture. This is an exciting opportunity to join a growing team focused on designing and building scalable data platforms and solutions for large-scale programmes.

Successful candidates will work with stakeholders, technical teams, and business users to deliver high-quality data solutions while gaining exposure to

Qualifications

• Approximately 3-5 years' experience in Data Analytics.
• Approximately 3-5 years' experience in Data Science.

Responsibilities

• Design, develop, and maintain robust data pipelines and data engineering solutions.
• Build and optimise data models to support reporting, analytics, and business decision‑making.
• Work with large and complex datasets across modern data platforms.
• Contribute to data architecture discussions, standards, and best practices.
• Ensure data quality, governance, security, and compliance requirements are met.
• Collaborate with technical and non-technical stakeholders to understand business requirements and translate them into effective data solutions.
• Support the continuous improvement of data platforms, frameworks, and processes.
• Develop a broader understanding of end-to-end data ecosystems and how data solutions support organisational objectives.

Skills

Data Analytics

Data Science

Data Engineering principles

Cloud platforms

Job description

Opus Recruitment Solutions Limited is seeking Data Engineers who are passionate about delivering modern data solutions and are interested in developing their careers towards Data Architecture. This is an exciting opportunity to join a growing team focused on designing and building scalable data platforms and solutions for large-scale programmes.

Successful candidates will work with stakeholders, technical teams, and business users to deliver high-quality data solutions while gaining exposure to