Are you passionate about building powerful data pipelines, optimising architectures, and enabling advanced analytics and machine learning? We’re looking for an experienced GCP Data Engineer to join our dynamic team and help shape the future of data in the cloud.

In this role, you’ll work closely with data analysts, data scientists, and business stakeholders to design and deliver scalable, reliable, and secure data solutions on Google Cloud Platform. If you love solving complex data challenges and want to make an impact in a fast-paced, innovative environment, this is the role for you!

What You’ll Do

• Design, build, and maintain scalable data pipelines and ETL processes on GCP.
• Manage and optimise data warehouses and lakes using tools like BigQuery, Cloud Dataflow, Cloud Storage, and Cloud Composer.
• Develop and enhance data models that power analytics, reporting, and machine learning.
• Partner with cross-functional teams to turn business needs into tailored data solutions.
• Conduct performance tuning, data quality checks, and security best practices.
• Document and maintain data architectures and processes for long-term success.

What We’re Looking For

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related field.
• 3+ years of hands-on Data Engineering experience (preferably on GCP).
• Strong skills in SQL and Python for data transformation and automation.
• Expertise with BigQuery, Cloud Dataflow, Cloud Storage, Cloud Composer, Pub/Sub, and Cloud Functions.
• Solid knowledge of data modelling, ETL, and data warehousing.
• Bonus points for: experience with Kafka/streaming, CI/CD tools (Docker, Terraform, Kubernetes), or GCP certifications.

What Sets You Apart

• Analytical mindset with strong problem-solving skills.
• Keen eye for data accuracy, reliability, and security.
• Strong communicator who thrives in collaborative environments.
• Self-driven, adaptable, and always ready to learn new tech.