At a Glance
- Tasks: Build and optimise scalable data pipelines in Google Cloud Platform.
- Company: Leading tech organisation focused on data-driven solutions.
- Benefits: Competitive daily rate, hybrid work model, and contract flexibility.
- Other info: 12-month contract with opportunities for career growth.
- Why this job: Join a dynamic team and enhance your skills in cutting-edge data technologies.
- Qualifications: Strong Python skills and hands-on GCP experience required.
The predicted salary is between 70000 - 80000 £ per year.
A leading technology and data-driven organisation is seeking an experienced Data Engineer to join its data engineering team on an initial 12-month contract. The successful candidate will be responsible for building and maintaining scalable data pipelines within Google Cloud Platform (GCP), ensuring high levels of data quality, reliability, and observability across critical business data platforms.
Key Responsibilities
- Build, maintain, and optimise scalable data pipelines within GCP
- Develop and manage workflows using Cloud Composer and Apache Airflow
- Design and support data solutions using BigQuery
- Implement data quality checks and monitoring frameworks
- Improve observability and operational performance of data platforms
- Troubleshoot and resolve pipeline failures and performance issues
- Work closely with engineering, analytics, and product teams
- Follow best practices around testing, deployment, and documentation
Required Skills Experience
- Strong commercial experience with Python
- Proven hands-on experience with Google Cloud Platform (GCP)
Data Engineer employer: LMA Recruitment
As a leading technology and data-driven organisation based in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work with cutting-edge technologies like GCP and BigQuery. Our hybrid working model ensures a healthy work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers in data engineering.
