Executive Facilities
Data Engineer - Global Organisation
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a 12-month hybrid contract with a pay rate of "unknown." Candidates should have 3+ years of experience with GCP, Dataflow, Python, SQL, and Docker, focusing on data pipelines and AI/ML user experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Farnborough, England, United Kingdom
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🧠 - Skills detailed
#Deployment #Dataflow #Python #Data Science #GCP (Google Cloud Platform) #Docker #BigQuery #Looker #Compliance #Airflow #SaaS (Software as a Service) #Programming #ML (Machine Learning) #Cloud #Monitoring #Splunk #Data Pipeline #Security #Scripting #Observability #Data Quality #dbt (data build tool) #Java #SQL (Structured Query Language) #Spark (Apache Spark) #Scala #Batch #Shell Scripting #Terraform #Data Engineering #Apache Beam #AI (Artificial Intelligence)
Role 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
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
