DATA & AI ENGINEER
The role involves developing data pipelines and ETL/ELT processes to integrate and process data. The engineer will also implement Machine Learning models and translate large datasets into actionable insights.
- On-site
- Engineer, BC
- Posted Aug 7, 2026
- Apply by Sep 6, 2026
- 1 position
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Job summary
Degree in Computer Engineering, Data Science, Artificial Intelligence or similar areas Professional experience in data engineering and AI-related projects Strong knowledge of Python and data processing frameworks Experience with data pipelines, ETL/ELT processes and data integration Experience with Machine Learning models and data-driven solutions Knowledge of SQL and NoSQL databases Familiarity with big data and streaming technologies (Spark, Kafka or similar) is valued Experience with cloud data platforms is a plus Ability to analyse large datasets and translate data into insights Good communication and interpersonal skills Ability to work in agile teams Fluency in English
What you’ll do
The role involves developing data pipelines and ETL/ELT processes to integrate and process data. The engineer will also implement Machine Learning models and translate large datasets into actionable insights.
Requirements
Candidates must have a degree in Computer Engineering, Data Science, or AI, along with professional experience in data engineering. Proficiency in Python, SQL, and big data technologies like Spark or Kafka is required.
Listed skills
- SQLPreferred
- Data analysisPreferred
- Machine learningPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- Data processing frameworks
- ETL/ELT processes
- Data integration
- Machine Learning
- SQL
- NoSQL
- Spark
- Kafka
- Cloud data platforms
- Data analysis
- Agile methodologies
- English fluency
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 0+ years
- Apply by
- Sep 6, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level