Senior Google Cloud Data Engineer
- Halifax, NS
- On-site
- Posted Oct 8, 2026
- 1 position
$70,000–$135,000 / year
Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
- Application method
- Direct apply is available
Job summary
Design, build, and maintain scalable Google Cloud data pipelines, including real-time and near-real-time streaming solutions, data processing workflows, and cloud-based data models. Ensure data quality, governance, security, and operational reliability while optimizing pipeline and query performance and collaborating with technical and business stakeholders.
Job details
We are seeking a Senior Google Cloud Data Specialist to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The successful candidate will bring strong hands on data engineering experience, including streaming technologies and real time or near real time data pipelines. Location: Atlantic Canada Employment type: Permanent Your future duties and responsibilities Your future duties and responsibilities Design, build, and maintain scalable data pipelines on Google Cloud Platform. Develop data processing, transformation, and integration workflows. Build real time and near real time streaming solutions. Work with large scale datasets using Google Cloud data services. Design and maintain data models and cloud based data solutions. Ensure data quality, governance, security, and operational reliability. Monitor and optimize pipeline and query performance. Collaborate with data architects, analysts, data scientists, software engineers, and business stakeholders. Required Qualifications To Be Successful In This Role Required qualifications to be successful in this role Senior level hands on data engineering experience with Google Cloud Platform. Experience designing and building scalable data pipelines and data processing solutions. Hands on experience with streaming technologies such as Pub/Sub, Dataflow / Apache Beam, Kafka / Confluent, or streaming into BigQuery. Experience with real time or near real time pipelines and event driven solutions. Experience with data transformation, integration, modelling, and large scale datasets. Strong understanding of data quality, governance, security, and performance optimization. Strong communication, collaboration, analytical, and problem solving skills. CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $70,000 –$135,000. This role is an existing vacancy. Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries. Come join our team—one of the largest IT and business consulting services firms in the world.
What you’ll do
Design, build, and maintain scalable Google Cloud data pipelines, including real-time and near-real-time streaming solutions, data processing workflows, and cloud-based data models. Ensure data quality, governance, security, and operational reliability while optimizing pipeline and query performance and collaborating with technical and business stakeholders.
Requirements
Requires senior-level hands-on data engineering experience with Google Cloud Platform and experience building scalable data pipelines and processing solutions. Candidates should have streaming and event-driven pipeline experience, knowledge of large-scale data transformation, integration, and modeling, and strong understanding of data quality, governance, security, and performance optimization.
Listed skills
- Analytical · Preferred
- Recruitment · Preferred
- Technical · Preferred
- Reliability · Preferred
- Collaboration · Preferred
- Communication · Preferred
- Pipeline · Preferred
- Time · Preferred
- future · Preferred
- Google Cloud · Preferred
- Integration · Preferred
- email · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Google Cloud Platform
- Data Engineering
- Data Pipelines
- Streaming Technologies
- Pub/Sub
- Dataflow
- Apache Beam
- Kafka
- Confluent
- BigQuery
- Real-Time Data Processing
- Data Transformation
- Data Integration
- Data Modeling
- Data Governance
- Performance Optimization
Job areas
- Data & Analytics
- Technology
- Software
- Consulting
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