As of November 7, 2026, Jobsy lists 27 data engineer jobs in Vancouver, BC. The most active employers are Capgemini, Randstad Canada and RBC. Skills often requested: data engineering, sql, python and aws.
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Capgemini needs candidates with strong or expert Spark (PySpark) skills, hands-on pipeline development experience in Azure, and experience with orchestration tools such as ADF or Airflow. They also need SQL and denormalized data modeling skills for big data systems.
Candidates need strong, expert-level Spark (PySpark) skills, hands-on Azure data pipeline experience, and knowledge of orchestration tools such as ADF or Airflow. Experience with SQL, denormalized data modeling for big data, and Jupyter, Colab or Databricks is also expected.
Candidates need hands-on experience with data migration, data modeling, data quality and ETL/ELT processing, plus Azure data services, Azure Databricks, PySpark and SQL. Microsoft Fabric and Power BI are nice to have.
Azure Databricks, PySpark, SQL, Power BI, Microsoft Fabric
Candidates need hands-on experience with data migration, data modeling, data quality and ETL/ELT processing, plus Azure data services, Azure Databricks, PySpark and SQL. Microsoft Fabric and Power BI are nice to have.
Azure Databricks, PySpark, SQL, Power BI, Microsoft Fabric
3+ YOECandidates need 3 to 5 years of data engineering experience on cloud platforms and production pipelines. They must know advanced SQL, Python or Node, at least one data warehouse, and workflow tools such as Prefect or Dagster.
BigQuery, Redshift, Snowflake, Postgres, Cloud SQL, Cloud Run
3+ YOECandidates need at least three years of data engineering experience, including data modelling, warehousing and building ETL pipelines. They also need a track record of processing large datasets and extracting value from them. Experience with AWS services such as Redshift, S3, Glue, EMR and Kinesis is preferred.
3+ YOECandidates need 3+ years of data engineering experience, including building ETL pipelines and large-scale 24x7 data systems. Amazon requires strong programming skills in Python, Java, Scala or NodeJS and knowledge of streaming architectures such as Kafka and Kinesis.
5+ YOECandidates need 5+ years of data engineering experience, including data modeling, warehousing and ETL pipelines. They also need SQL, a modern programming language such as Python, Java, Scala or NodeJS, and experience mentoring team members.
3+ YOECandidates need 3+ years of data engineering experience, including building large-scale data structures for analytics with ETL/ELT, OLAP, data modeling, SQL and Oracle. Experience with AWS services like Redshift, S3, Glue, EMR and Kinesis is preferred.
8+ YOECandidates need 8+ years of data engineering experience and 2+ years of hands-on Microsoft Fabric work on enterprise solutions. They need deep skills in OneLake, Lakehouse, Data Warehouse, Azure Data Factory, Spark, PySpark, SQL, dbt, Azure DevOps and Git.
Microsoft Fabric, Azure Data Factory, Power BI, Azure DevOps, Git, dbt
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Candidates need to be enrolled in a post-secondary program graduating between August 2027 and June 2028, with programming, database and data-science experience. They also need strong communication and teamwork skills and experience with machine learning, NLP, LLMs, APIs or data visualization tools.
Research, Collaboration, Teamwork, Critical thinking, Communication skills, Leadership
Candidates need current enrollment in a post-secondary program graduating August 2027 to June 2028, plus programming, database and data-transformation experience. They also need experience with machine learning, LLMs, NLP, APIs, or databases and visualization tools, along with strong communication and teamwork skills.
Code management tools, Databases, Data visualization tools
Candidates need current enrolment in a post-secondary program graduating in 2027–2028, plus programming, database and data-transformation experience. They also need experience with machine learning, NLP, API development, or data visualization, and strong communication and teamwork skills.
Research, Collaboration, Teamwork, Critical thinking, Communication skills, Leadership
Aviso Wealth: As a trusted partner, Aviso Wealth provides credit unions with access to a comprehensive range of high-quality, innovative investing and wealth…
3+ YOECandidates need a degree or technical diploma in computer science or engineering, 3+ years of data engineering or software development, and hands-on Azure experience. Strong communication in English is required, and French and AWS or Databricks certification are assets.
Aviso Wealth: As a trusted partner, Aviso Wealth provides credit unions with access to a comprehensive range of high-quality, innovative investing and wealth…
3+ YOECandidates need a computer science or engineering degree, a technical diploma, or equivalent software development experience, plus at least 3 years in data engineering or software development. Strong Azure cloud experience, DevSecOps practices and fluent English are required; French and AWS or Databricks certification are assets.
5+ YOECandidates need 5+ years in data modeling and data analysis, with 2+ years on Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB and Airflow. Pandas, scikit-learn, a math or computer science background, and mobile, advertising or gaming experience are assets.
5+ YOECandidates need 5+ years of data engineering experience, hands-on work with Azure Data Factory, Azure Databricks, Snowflake and Azure Storage, and familiarity with dbt, Delta Live Tables, CI/CD and Infrastructure as Code. A Bachelor's degree or diploma in a related field, or equivalent experience, is also required.
1+ YOECandidates need at least one year of professional data engineering experience, strong Python and SQL skills, and knowledge of ETL and cloud platforms such as AWS or GCS. A technical degree or equivalent experience is expected.
Candidates need a Bachelor's degree in a related field, proven data engineering experience, strong SQL and relational database skills, and programming in Python, Java or Scala. Familiarity with big data, cloud data platforms and strong communication are also needed.
7+ YOECandidates need 7+ years of data engineering and cloud experience, strong SQL, and skill in Python and C# (.NET). They also need hands-on experience with orchestration tools like Airflow, Snowflake, Docker and unit testing.
Airflow, Snowflake, MS SQL Server, AWS, Docker, New Relic
Nesto Group(e): With its headquarters in Ajman, the company has 100+ outlets in the GCC locations and employs over 10000 people of various nationalities.
3+ YOECandidates need 3+ years of data engineering experience owning production pipelines and models in the cloud. They should have advanced SQL, dimensional modeling skills, Python, REST API integration experience, and Git/CI/CD knowledge.
Microsoft Fabric, Power BI, Azure Data Factory, Synapse, Databricks, SQL Server
3+ YOECandidates need 3+ years of data engineering experience owning production pipelines in a cloud environment. Strong SQL, dimensional modeling (Kimball), Python, REST API integration, Power BI dataset work and Git/CI/CD are required, with Microsoft Fabric preferred.
Microsoft Fabric, Azure Data Factory, Power BI, SQL Server, Azure SQL, Synapse
iQmetrix: iQmetrix is the only provider of Interconnected Commerce software solutions for telecom retail.
5+ YOECandidates need 5+ years of data or software engineering experience, strong production skills in Python and SQL, and hands-on work with distributed compute and lakehouse platforms such as Delta Lake. They should also be experienced in dimensional modeling, ETL/ELT pipelines and mentoring engineers.
5+ YOECandidates need a bachelor's degree in computer science, information systems or a related field, plus 5 years of data engineering or data platform experience. Strong SQL and Python skills, data modeling expertise, and experience with Azure, SQL Server, Oracle Database and Oracle Cloud Infrastructure are required.
Azure Data Factory, Microsoft Fabric, Oracle Data Integrator, SQL Server, Oracle Database, Oracle Cloud Infrastructure