GCP Data Engineer

Role: GCP Data Engineer Location: Vaughan, ON Type: Full Time - Contract 6 months (Extendable) About the Role: We are seeking a talented Data Engineer with hands-on experience in building scalable data pipelines and modern cloud-based data platforms. The ideal candidate will have experience working with Python and big data technologies such as Apache Airflow, Apache Spark, and Apache Beam, along with strong knowledge of SQL and data warehousing concepts. In this role, you will design and develop cloud-native data pipelines on Google Cloud, enabling reliable data processing and integration of machine learning models. You will work closely with data scientists, engineers, and cross-functional teams to build and expand our enterprise data platform while ensuring high performance, scalability, and reliability of data solutions. The position requires strong collaboration skills, experience working in agile development environments, and familiarity with CI/CD practices, cloud infrastructure, and modern data engineering tools. Responsibilities Use the latest technology to build data pipelines and integrate machine learning models Build and expand our data platform Develop applications that run on a Google Cloud-based infrastructure. Qualifications 10+ years of experience in Big Data and Data Engineering, building enterprise-level applications in a public cloud, preferably Google Cloud Experience building cloud-native data pipelines using Python, Apache Airflow, Apache Spark, and Apache Beam. Working knowledge of SQL and data warehousing concepts, including PostgreSQL and BigQuery. Optionally, knowledge of Mongo and AlloyDB is a plus. Comfortable using Azure DevOps or similar CI/CD tools, Git. Experience with TDD, agile software development processes, and collaborating in multi-functional agile teams. Communicate effectively with technical teams and non-technical stakeholders. Bachelor's degree in Computer Science or related engineering discipline, or equivalent combination of education and experience. Optionally, experience building Docker images and deploying them to a Production environment. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using Terraform. Optionally, experience with C#, .NET core, and microservices About TechBlocks TechBlocks is a global digital product engineering company with 16+ years of experience helping Fortune 500 enterprises and high-growth brands accelerate innovation, modernize technology, and drive digital transformation. From cloud solutions and data engineering to experience design and platform modernization, we help businesses solve complex challenges and unlock new growth opportunities. At TechBlocks, we believe technology is only as powerful as the people behind it. We foster a culture of collaboration, creativity, and continuous learning, where big ideas turn into real impact. Whether you're building seamless digital experiences, optimizing enterprise platforms, or tackling complex integrations, you'll be part of a dynamic, fast-moving team that values innovation and ownership. Join us and shape the future of digital transformation.

Design and develop scalable, cloud-native data pipelines on Google Cloud to enable reliable data processing and ML model integration. Collaborate with cross-functional teams to build and expand the enterprise data platform while ensuring high performance and reliability.

Requires over 10 years of experience in Big Data and Data Engineering with expertise in Python and GCP tools like BigQuery and Airflow. A Bachelor's degree in Computer Science or a related field is required, along with experience in CI/CD and agile methodologies.

• KubernetesPreferred
• SQLPreferred
• PostgreSQLPreferred
• DockerPreferred
• AgilePreferred
• TerraformPreferred
• GitPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• Apache Airflow
• Apache Spark
• Apache Beam
• SQL
• Google Cloud Platform
• BigQuery
• PostgreSQL
• Azure DevOps
• Git
• TDD
• Agile
• Docker
• Kubernetes
• Terraform
• Data Warehousing

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Minimum education

Bachelor’s degree

Minimum experience

16+ years

Apply by

Sep 9, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available