Data Engineer

Our OEM Client based in Whitley, Coventry, is searching for Data Engineer to join their team, Inside IR35. This is a contract position until 1^st September 2026.

Umbrella Pay Rate: £30.11 per hour.

We are looking for a skilled and proactive Data Engineer to join our Customer Relationship Centre Team. This role is key to enabling data-driven decision-making by building and maintaining robust data pipelines, integrating customer service systems, and ensuring high-quality data is available for analysis and insights.

You will work closely with analysts, developers, and operational teams to support customer experience initiatives, with a strong emphasis on Google Cloud Platform (GCP) and cloud-based data engineering.

A key part of your role will be helping to modernise the CRC's data infrastructure transitioning from legacy systems to more advanced, scalable technologies.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL processes to support customer service operations.
• Migrate and modernise legacy data systems to cloud-based solutions, improving performance and accessibility.
• Integrate data from CRM systems and customer touchpoints into cloud platforms for unified analysis.
• Ensure data quality, consistency, and availability for reporting and analytics.
• Collaborate with Data Analysts to deliver actionable insights and support proactive customer engagement strategies.
• Implement data solutions using GCP services such as BigQuery, Cloud Functions and Dataflow.
• Develop and maintain documentation for data architecture, workflows, and processes.
• Troubleshoot and resolve data-related issues, ensuring minimal disruption to service operations.
• Support automation of reporting and data delivery.
• Design and implement API integrations to ingest data from third-party services, CRM platforms, and customer interaction tools.
• Working with wider teams such as IT, Data & AI and CRM.

Skills & Experience Required:

• Proven experience as a Data Engineer, preferably in a customer service or contact centre environment.
• An understanding of in SQL, Python, and Data Pipeline Development.
• Hands-on experience with Google Cloud Platform (GCP) and Cloud Data Tools.
• Familiarity with CRM Systems and Customer Data Structures.
• A good understanding of Data Warehousing Concepts and Cloud Architecture.
• Ability to work collaboratively with Cross-functional Teams.
• Strong problem-solving skills and attention to detail.
• Experience with ETL tools and frameworks Airflow, Git, CI/CD pipeline Data Insights reporting experience.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• GCP certification (e.g., Professional Data Engineer) is a plus.
• Experience with real-time data processing and streaming technologies.
• Proficiency in Tableau or other Data Visualisation Tools is highly desirable.