Data Engineer

C4S Search Ltd; Malmesbury; Hybrid; GBP 28,000 - 35,000; Full time

Job summary

C4S Search Ltd are partnering with a well‑established SaaS company to recruit a Data Engineer in Cirencester. You will own data quality, structure and consistency across multiple products, and build pipelines and tooling to monitor data integrity for reporting and dashboards.

Collaborating with cross‑functional teams, you will identify data needs and gaps, help enable advanced analytics and machine learning initiatives, and contribute to infrastructure that supports future AI services.

Qualifications

• Degree in CS/DS/Math or related field (or equivalent experience).
• Strong SQL skills with SQL Server or similar relational databases.
• GDPR responsibilities when handling customer data.

Responsibilities

• Take ownership of data quality, structure, and consistency across multiple products and sources.
• Build processes and tooling to monitor, measure, and report on data integrity.
• Develop and improve data pipelines and flows into SQL Server to support reporting, dashboards, and future AI services.
• Work closely with cross-functional teams to identify data needs, gaps, and opportunities for new insights.
• Support the development of infrastructure that enables advanced analytics and machine learning initiatives.

Skills

SQL

Data quality

GDPR awareness

Stakeholder communication

Education

Bachelor's degree in Computer Science, Data Science, Mathematics, or related field

Job description

JOB TITLE: Data Engineer

LOCATION: Cirencester

SALARY: £28,000 - £35,000

WAY OF WORKING: Full Time | Hybrid | Permanent

THE BUSINESS:

C4S Search are pleased to be working with a well‑established and fast‑growing SaaS company.

THE DATA ENGINEER OPPORTUNITY:

• Take ownership of data quality, structure, and consistency across multiple products and sources


• Build processes and tooling to monitor, measure, and report on data integrity


• Develop and improve data pipelines and flows into SQL Server to support reporting, dashboards, and future AI services


• Work closely with cross‑functional teams to identify data needs, gaps, and opportunities for new insights


• Support the development of infrastructure that enables advanced analytics and machine learning initiatives

YOUR KEY SKILLS:

• Degree in Computer Science, Data Science, Mathematics, or related field (or equivalent experience)


• Strong SQL skills and experience with SQL Server or similar relational databases


• Understanding of GDPR responsibilities when handling customer data


• Genuine enthusiasm for data quality, structure, and analytical problem‑solving


• Strong communicator able to work with technical and non‑technical stakeholders