Data Engineer – UK Health Data, Hybrid, Right-to-Work

Naija UK Connect Limited; Greater London; Hybrid; GBP 50,000 - 60,000; Full time

Benefits offered by this job

Hybrid working model

Career development opportunities

Job summary

Hexegic is seeking a Data Engineer for a full-time role in London, UK, focusing on UK Health initiatives. The position offers a competitive salary and strong opportunities for professional development, with a hybrid working model.

The role involves building a clean, validated data foundation to support analytical workflows, collaborating with SMEs to scope data integrations and design robust data models, and ensuring data quality and accessibility across UK Health projects.

Qualifications

• Proven experience in Data Engineering, particularly with data cleaning, validation, and discoverability.
• Ability to work closely with subject matter experts to define data integration requirements.
• Experience in designing and implementing data models.
• Strong understanding of data governance and quality best practices.
• Excellent problem-solving skills and attention to detail.
• Applicants must possess existing right-to-work in the UK; this role is for UK-based candidates.

Responsibilities

• Develop a clean, validated, and discoverable data foundation to support new analytical workflows and applications.
• Work closely with subject matter experts to scope new data integrations and design robust data models.
• Ensure data quality and accessibility to support UK Health initiatives.

Skills

Data Engineering

Data Cleaning

Data Validation

Data Discoverability

Data Modeling

Collaboration with SMEs

Problem Solving

Job description

Hexegic is seeking a Data Engineer for a full-time role in London, UK, focusing on UK Health initiatives. The position offers a competitive salary and strong opportunities for professional development, with a hybrid working model.

The role involves building a clean, validated data foundation to support analytical workflows, collaborating with SMEs to scope data integrations and design robust data models, and ensuring data quality and accessibility across UK Health projects.