GCP Data Engineer

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on GCP.
• Work with services such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, Cloud Functions, etc.
• Implement best practices for data modelling, data warehousing, performance tuning, and data quality.
• Optimize cloud workloads for efficiency, reliability, and cost management.
• Collaborate with data analysts, data scientists, product managers, and engineering teams to deliver high-quality data solutions.
• Write clean, efficient, and reusable code using Python, SQL, and/or Scala/Java (optional).
• Build and maintain CI/CD pipelines for data workflows using tools like Cloud Build, GitHub Actions, or similar.
• Ensure data security, compliance, governance, and privacy best practices across systems.
• Contribute to solution architecture (for senior engineers).
• Provide technical mentoring and guidance to junior engineers (for senior roles).

Do you have experience in Terraform?, Eligibility: Candidates must have valid eligibility to work in the UK, * Strong experience with Google Cloud Platform (GCP).

• Proficiency with BigQuery: SQL, partitioning, clustering, optimization.
• Experience building pipelines using Dataflow (Apache Beam), Cloud Composer (Airflow), or Pub/Sub.
• Excellent SQL and Python development skills.
• Strong understanding of ETL/ELT, data modelling, and data warehouse principles.
• Experience with version control (Git) and CI/CD tools.
• Knowledge of cloud security, IAM, and networking basics.
• Experience with containerized workloads (Docker, Kubernetes) is a plus.
• Familiarity with Terraform or infrastructure-as-code is desirable.
• Strong problem-solving skills and attention to detail.
• Ability to work independently in a remote environment.
• Effective communication and stakeholder-management skills.
• Ability to mentor junior team members (for senior-level applicants).