Data Engineer

Ef Recruitment
Greater London, UK
9 days ago
Apply on www.cv-library.co.uk
Prepare application

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Airflow BigQuery Software as a Service Continuous Integration Data Validation Data Flow Control Python (Programming Language) Programming Environments Newrelic Cloudera
+17 more
Shell Script Software Deployment Software Engineering SQL Databases Data Streaming Software Technical Review Google Cloud Apache Spark Software Application Programming Kubernetes Apache Flink Terraform Splunk Looker Analytics Data Pipelines Apache Beam Docker

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.

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 & conditions

  • Hybrid working
  • Great location with fantastic offices
  • Award winning work environment

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.cv-library.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:38 min

Establishing comprehensive monitoring and log management

Michael Eder +1 · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

Videos

See all

Related articles

See all