First seen by our source: 25 days ago
Data Engineer - Montreal
@ Yeah! Global
Montréal, Quebec
Overview
Yeah! Global is hiring a Data Engineer in Montreal to design, build and maintain scalable data pipelines and ETL processes. The work supports data scientists and analysts with warehouses and data lakes for analytics and business intelligence.
Responsibilities:
- Design and maintain scalable data pipelines
- Implement and manage ETL processes
- Develop and maintain data warehouses and data lakes
- Optimize database performance
- Monitor and troubleshoot data issues
Requirements summary:
- Bachelor's degree in computer science, IT or related field
- Proven experience as a Data Engineer
- Strong SQL and relational database experience
- Big data and cloud platform knowledge
- Python, Java or Scala proficiency
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-13
- Source record updated
- 2026-10-13
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Data & analytics |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Information Technology |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Yeah! Global
| Field | Value |
|---|---|
| Open jobs on Jobsy | 32 |
Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to Montreal, Canada, or ready to relocate to the employer's location.
Job Summary: Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes.
Key Responsibilities:
- Design, develop, and maintain scalable and efficient data pipelines.
- Integrate, clean, and organize raw data from various sources into structured formats.
- Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs.
- Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
- Optimize database performance and query execution.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Ensure data security and compliance with relevant data protection regulations.
- Monitor and troubleshoot data-related issues and provide timely resolutions.
- Document data engineering processes, architectures, and workflows.
Qualifications:
- Bachelors degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
- Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
- Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).
- Proficiency in programming languages such as Python, Java, or Scala.
- Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
Preferred Skills:
- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of data governance and data privacy regulations.
- Certification in data engineering or related fields.
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