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Data Engineer - Global Organisation

Executive Facilities·London (South East England)
£300 – £350 / day
Vox Summary
  • Role Responsibilities: Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow; support data tracking, ingestion, quality monitoring, and alerting.
  • Key Technologies: Experience with GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt, Python, SQL, shell scripting, Docker/k8s, Terraform, Salt.
  • Requirements: 3+ years managing data pipelines, professional experience in application development in Scala/Java/Python, and familiarity with CI & CD processes.
  • Conditions & Benefits: 12 months contract, hybrid working, great location, award-winning environment, opportunity for role to go permanent.
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Job description

Our client, a leading global SaaS organisation is looking for a Data Engineer to join their International Engineering team. This is a great opportunity to contribute greatly to an extremely engineering-focused organization and further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform, Google Cloud Platform, etc; You will own engineering efforts to provide partner teams within the organisation with data sources that build the AI/ML user experience. This a 12 months contract Hybrid role with the opportunity for the role to go permanent. What You'll Do: • Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow; • Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness; • Build critical data quality checks to ensure that the data we process and provide to partner teams meets security and compliance requirements; • Participate in code and technical design reviews; • Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting. Minimum requirements: • 3+ years of experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; • Working knowledge of Python, SQL and shell scripting; • Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar; • 3+ years of significant professional experience developing applications written in a modern programming environment - preferably Scala/Java and/or Python; • Professional experience across the entire software development life cycle, from gathering requirements to production deployment using CI & CD; • Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents. Benefits • Hybrid working • Great location with fantastic offices • Award winning work environment

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Original source
reed.co.uk
Posted
Jul 04, 2026 · true date
Last verified
38 minutes ago
Quality score
65/100
Salary stated30
Company identified0
applyUrl0
postedAt15
Complete description20

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