Senior GCP Google Data Engineer

Senior GCP Data Engineer - BigQuery, Dataflow (Apache Beam), Cloud Storage, Cloud Functions, Cloud Composer, Pub/Sub, and DataStream, Apache Spark, Kafka.

Location: Helsinki, Hybrid working

Contract Duration: 12 Months

Employment Type: Freelance Contract

We are seeking an experienced GCP Data Engineer/Developer to join a leading Telco client on a 12-month freelance assignment. The role involves developing, maintaining, and optimizing ETL/ELT pipelines on Google Cloud Platform (GCP) to support day-to-day business processes. You will work closely with Informatica experts to understand existing ETL logic, business rules, and source systems, translating them into scalable, secure, and efficient GCP-native solutions.

Key Responsibilities:

• Develop and maintain ETL/ELT pipelines using GCP services including BigQuery, Dataflow (Apache Beam), Cloud Storage, Cloud Functions, Cloud Composer, Pub/Sub, and DataStream.
• Collaborate with Informatica experts to understand ETL job logic, transformations, workflows, and business rules.
• Design GCP-native equivalents for existing ETL jobs, ensuring scalability, performance, and cost efficiency.
• Implement automation and deployment pipelines using CI/CD frameworks.
• Configure and manage IAM roles, network policies, and monitoring solutions to ensure secure and compliant data environments.
• Troubleshoot and resolve pipeline, workflow, and data storage issues.
• Optimize pipelines and data processing workflows for performance and cost efficiency.
• Work with orchestration tools like Cloud Composer (Apache Airflow) to manage complex workflows.

Essential Skills & Experience:

• 6-8 years of experience in data engineering, with at least 3 years focused on GCP.
• Hands-on experience with GCP core services: BigQuery, Dataflow, Cloud Storage, Cloud Functions, Cloud Composer.
• Strong background in ETL/ELT pipelines, data integration, and workflow orchestration.
• Knowledge of relational databases, data warehousing, and schema design in GCP environments.
• Proficiency in Python, Bash, or similar scripting languages for automation and troubleshooting.
• Familiarity with Apache Spark, Kafka, or other big data technologies is a plus.
• Experience in setting up IAM roles, network configurations, and monitoring solutions in GCP.

Desirable Skills:

• Expertise in Kubernetes (GKE) and container orchestration.
• Familiarity with Terraform, Ansible, or other Infrastructure as Code tools.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Cloud Build.
• Hands-on experience with monitoring tools like Prometheus, Grafana, or Stackdriver.
• Google Cloud Professional Cloud Architect or Cloud Engineer certification preferred.
• Knowledge of multi-cloud or hybrid cloud environments.
• Exposure to data migration and transformation projects.
• Strong understanding of networking concepts, security best practices, and IAM policies.
• Excellent problem-solving skills and ability to collaborate in a team environment.