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Data Engineer (Google Cloud) - Opportunity to Work on Scalable Data Systems
A well-established SaaS organisation is seeking an experienced Data Engineer with a background in cloud infrastructure. This role involves working with large datasets and building efficient, scalable data systems using Google Cloud technologies to support the company's data-driven objectives.
Key Responsibilities:
- Build and maintain efficient data pipelines on Google Cloud Platform (GCP), ensuring scalability and reliability.
- Utilise tools such as Google BigQuery, Apache Spark, Apache Beam, Airflow, and Cloud Composer to manage and process large datasets.
- Collaborate with engineering, product, and data teams to create insightful reporting and visualisation tools for internal teams and clients.
- Maintain and improve datasets and models to meet business requirements.
- Own and continuously enhance the internal data engineering stack, focusing on best practices and scalability.
What We're Looking For:
- 3-5 years of experience as a Data Engineer, with hands-on experience in cloud platforms (experience with Google Cloud is a plus).
- Strong knowledge of data warehousing (e.g., Google BigQuery), data processing (Apache Spark, Beam), and pipeline orchestration (Airflow, Cloud Composer).
- Proficiency with SQL and No-SQL databases (e.g., Cloud Datastore, MongoDB), and storage systems (e.g., Google Cloud Storage, S3).
- Strong experience with Python or Java 8+, and object-oriented programming.
- Familiarity with development tools such as GitHub, Jira, Docker, and Kubernetes.
What's on Offer:
- Hybrid working options to support a balanced work-life environment.
- A comprehensive benefits package, including health and wellness programmes, an electric car scheme, and childcare support.
- Opportunities to engage in company working groups focused on initiatives like CSR, DE&I, and mental health support.
- Enhanced family leave policies and career development opportunities.
