At a Glance
- Tasks: Build and maintain scalable data pipelines for cutting-edge AI/ML projects.
- Company: Join a leading global SaaS organisation with a strong engineering focus.
- Benefits: Hybrid role with potential for permanent position and competitive salary.
- Other info: Opportunity to work with innovative tools like Google Cloud Platform and Terraform.
- Why this job: Make a real impact on data-driven user experiences in a dynamic environment.
- Qualifications: 3+ years of experience in data engineering and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
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, 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.
Data Engineer - Global Organisation employer: Executive Facilities
Join a leading global SaaS organisation that prioritises engineering excellence and innovation, offering a dynamic work culture where your contributions directly impact the AI/ML user experience. With a hybrid working model, you will benefit from flexible working arrangements, continuous learning opportunities, and a collaborative environment that fosters professional growth. This role not only allows you to work with cutting-edge technologies but also provides a pathway to a permanent position within a forward-thinking team.
