Cloud Data Engineer
Description For Cloud Data Engineer
Qodea, Europe's leading Google Cloud specialist consultancy, is seeking a Cloud Data Engineer to join their innovative team. This role offers a unique opportunity to work on cutting-edge solutions across data & analytics, AI, and cloud infrastructure. As a Cloud Data Engineer, you'll be responsible for designing and maintaining scalable data pipelines and infrastructure, working with GCP services to deliver exceptional results for clients. The position offers a flexible hybrid work environment with the option to work overseas for up to 3 months annually through their 'Work from Anywhere' policy. The company provides extensive professional development opportunities, including 10 paid learning days per year and access to industry-recognized certifications. Qodea's commitment to work-life balance is evident in their generous benefits package, including comprehensive healthcare, extensive leave policies, and unique perks like birthday holidays. As a B Corp certified company, they're dedicated to driving social progress and positive impact. The role combines technical expertise with collaborative teamwork, making it ideal for data professionals seeking to advance their careers in a supportive, growth-oriented environment.
Responsibilities For Cloud Data Engineer
- Develop and maintain automated data processing pipelines using Google Cloud
- Design, build, and maintain data pipelines for data ingestion, ETL, and storage
- Build and maintain automated data pipelines to monitor data quality
- Implement and maintain databases and data storage solutions
- Ensure data quality, accuracy, and completeness
- Implement and enforce data governance policies
- Collaborate with data scientists and analysts
- Develop and maintain data models for analytics and reporting
- Monitor and maintain data infrastructure
Requirements For Cloud Data Engineer
- Experience with cloud platforms such as AWS, Azure, or GCP
- Proficiency in SQL and experience with relational databases
- Experience with big data technologies such as Hadoop, Spark, or Hive
- Familiarity with data warehousing and ETL tools
- Proficiency in at least one programming language such as Python, Java, or Scala
- Strong analytical and problem-solving skills
- Ideally certified in Google Cloud (Professional level) or equivalent certification
Benefits For Cloud Data Engineer
- Competitive salary
- Private healthcare scheme
- Company pension
- Death in Service - 4x annual salary
- 10 paid learning days per year
- Industry recognised training and certifications
- 36 days annual leave inclusive of bank holidays
- Length of service awards
- Sabbatical leave for 5+ years service
- Market leading parental leave policies
- Company events
- Work from Anywhere policy - up to 3 months overseas
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