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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in Canada.
This role is a high-impact opportunity for an experienced data professional to help design and build scalable, cloud-based big data solutions that power analytics, AI, and business intelligence initiatives.
You will work at the center of data innovation, contributing to the architecture and optimization of modern Lakehouse platforms supporting large-scale, real-time and batch data processing.
The position involves close collaboration with machine learning, software engineering, and product teams to transform complex data into actionable insights.
You will play a key role in designing robust data pipelines that support business-critical decision-making across multiple domains.
The environment is highly technical and collaborative, with strong emphasis on performance, scalability, and engineering excellence.
This is an excellent opportunity for a senior data engineer passionate about building reliable data systems and enabling data-driven organizations.
Accountabilities:
- Design, build, and maintain scalable data pipelines handling large-scale structured and semi-structured datasets.
- Develop and optimize ETL/ELT processes for data ingestion, transformation, storage, and analytics consumption.
- Work within Lakehouse architecture environments to ensure efficient data modeling and high-quality data structures.
- Collaborate with ML, engineering, and product teams to deliver data solutions supporting AI, BI, and business initiatives.
- Build and manage streaming and batch data workflows using technologies such as Spark, PySpark, and Kafka.
- Optimize existing data infrastructure and pipelines for performance, scalability, and reliability.
- Support data governance, versioning practices, and overall data quality standards.
- Leverage AI tools to improve development efficiency, automate reporting, and enhance data insights delivery.
Requirements:
- 5+ years of experience in senior data engineering roles building scalable big data solutions.
- Advanced degree in Computer Science, Engineering, or related field.
- Strong expertise in SQL, data modeling, and Lakehouse architectures.
- Hands-on experience with cloud platforms such as AWS and Azure.
- Strong programming skills in Python and/or Java.
- Experience with relational databases (PostgreSQL, MySQL) and NoSQL systems (MongoDB).
- Strong experience with streaming and distributed processing technologies including Kafka, Spark, PySpark, and Spark Streaming.
- Hands-on experience with Databricks in production environments.
- Strong software engineering fundamentals and familiarity with SDLC practices.
- Experience with GitHub and version control best practices.
- Strong analytical and problem-solving skills with ability to design complex data pipelines.
- Excellent communication skills with ability to translate technical concepts into actionable insights.
Benefits:
- Competitive compensation package (based on experience)
- Remote work flexibility within Canada
- Opportunity to work on large-scale, cloud-based data platforms
- Exposure to AI, BI, and advanced analytics initiatives
- Collaborative and highly technical engineering environment
- Career growth opportunities in a senior technical leadership path
- Access to modern data technologies and continuous learning culture
- Inclusive workplace with strong emphasis on innovation and engineering excellence
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