At a Glance
- Tasks: Build and maintain scalable data pipelines for cutting-edge AI/ML projects.
- Company: Leading global SaaS organisation with a strong engineering focus.
- Benefits: Hybrid work, competitive salary, and potential for permanent role.
- Other info: Great opportunity for career growth in a tech-driven environment.
- Why this job: Join a dynamic team and enhance your skills in cloud technologies.
- Qualifications: 3+ years of experience in data pipeline management and relevant 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 is a contract role for 12 months 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 and infrastructure using technologies such as...
Data Engineer employer: EF Recruitment
EF Recruitment is an exceptional employer that values innovation and flexibility, making it an ideal place for a Hybrid Data Pipeline Engineer. With a strong focus on employee growth, the company offers opportunities to work with cutting-edge technologies in a collaborative environment, while the hybrid working model ensures a healthy work-life balance. Located in a vibrant area, employees benefit from a supportive culture that encourages professional development and meaningful contributions to international projects.
