Data Engineer

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

Location: UK Wide (Remote-First) with occasional travel to a local office or London office as required.

Working Pattern

Primarily remote with flexible travel requirements. Candidates may be asked to attend the London office periodically (approximately once every few months). Those located near Newcastle may have opportunities for greater office engagement.

About the Role

We are 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. The role is ideal for individuals who enjoy understanding not only how data systems are built, but also why they are designed in a particular way.

Successful candidates will work with stakeholders, technical teams, and business users to deliver high-quality data solutions while gaining exposure to architecture principles and enterprise-scale data environments.

Key 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.

Required Skills & Experience

Approximately 3-5 years' experience in:

• Data Analytics
• Data Science

Strong understanding of:

• Data Engineering principles
• Experience working with modern cloud-based data platforms and large datasets.
• Strong problem‑solving and analytical skills.
• Excellent communication and stakeholder management abilities.
• Ability to work effectively within multidisciplinary teams.
• Passion for developing a career in Data Architecture.

Ideal Candidate Profile

We are particularly interested in candidates who:

• Have hands‑on Data Engineering experience and want to progress towards Data Architecture.
• Show curiosity about system design, data lineage, and how enterprise data solutions fit together.
• Take an interest in understanding the wider business context behind technical decisions.
• Enjoy working across both technical and stakeholder‑facing activities.
• Candidates from Data Analytics or Data Science backgrounds may also be considered if they demonstrate a strong interest in Data Engineering and Architecture.

This opportunity offers exposure to architecture‑focused work and provides a potential long‑term career pathway into Data Architecture. The team is committed to supporting professionals who want to broaden their technical expertise while gaining a deeper understanding of enterprise data ecosystems.

Eligibility Requirements

Candidates must be eligible for Home Office SC Clearance, including:

• Minimum of 5 years' continuous UK residency.
• No gaps in residency exceeding 6 months.
• British Citizen, EU National, or holder of Indefinite Leave to Remain (ILR).