Data Engineer

Company: eTeam
Apply for the Data Engineer
Location: Telford
Job Description:

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Location: Telford (2 days in office/week)

Duration: 6-month contract

Pay Rate: £447 or 483 per day all inc. (PAYE through Umbrella)

Contractor Must Be Sc Cleared (Active)

Description:

Purpose of the Role:

  • To design, build, and optimise data pipelines and integration processes required for migrating SAS estate (including SAS 9.4 and Viya 3.5 components) to SAS Viya 4 on DPS AWS.
  • The Data Engineer will ensure data integrity, performance, and compliance throughout the migration and operational phases.

Key Responsibilities:

  • Design and implement ETL processes to migrate data from legacy SAS environments to SAS Viya 4.
  • Optimise data flows for performance and scalability in a cloud-native architecture.

Integration & Transformation:

  • Work with SAS developers to refactor existing jobs and ensure compatibility with Viya 4.
  • Implement data transformations and validation rules to maintain accuracy and consistency.

Automation & CI/CD:

  • Develop automated workflows for data ingestion and processing using DevOps tools (Jenkins, Git).
  • Data Quality & Governance:
  • Ensure compliance with data governance, security, and GDPR standards.
  • Implement monitoring and alerting for data quality and pipeline health.
  • Work closely with architects, business analysts, and test teams to align data solutions with migration requirements.
  • Support UAT and production readiness activities by providing test data and validation scripts.

Required Skills & Experience:

Strong experience in:

  • Building and managing ETL pipelines using tools such as SAS Data Integration, Pentaho, or Talend.
  • Working with SAS technologies (SAS 9.4, SAS Viya 3.x/4).
  • Proficiency in:
  • SQL, Python, and scripting for data processing.
  • Cloud platforms (AWS) and containerisation (Docker, Kubernetes).
  • Familiarity with:
  • Data modelling, performance tuning, and large-scale data migration.
  • Agile delivery and DevOps practices.

Desirable Qualifications:

  • Certifications in SAS, AWS Data Engineering, or equivalent.
  • Experience in government or regulated environments.
  • Knowledge of data virtualisation tools (e.g., Denodo).

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Posted: October 14th, 2026