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Data Engineer

EF RecruitmentFarringdon, Central London🇬🇧United KingdomPosted 14 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Temporary/Casual
Level
Mid Senior

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 contract role 12 months Hybrid role with the opportunity for the role 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

Skills

Docker
GCP
SQL
Scala
Shell
Flink
Looker
Splunk
Airflow
Apache
BigQuery
Google Cloud
Java
Python
Terraform
dbt

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