Junior Data Engineer - (Canada-based)

About the job Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and AI? With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and LVMH, Artefact is a consulting firm that transforms data into value and business impact. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com. Our Opportunity Responsibilities We are looking for a Jr. Data Engineer to join our dynamic team. This role is ideal for someone with understanding of data engineering and a proven track record of working on data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing. Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations. Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables. Develop and enforce best practices in data governance, security, and compliance within the organization. Optimize data retrieval and develop dashboards and reports for business teams. Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function. Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 2+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Experience with cloud services such as Azure Data Factory and AWS Glue. Excellent problem-solving skills and the ability to work under tight deadlines. Strong communication and interpersonal skills. Preferred Qualifications: Certifications in Azure, AWS, or similar technologies. Certifications in Databricks, Snowflake or similar technologies Experience in the leading large scale data engineering projects Why you should join us We are united by our values and strengthened by our hybrid expertise. There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed. Client trust is won on the field: Addressing client needs flows better hands on at their side. If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact. If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues. We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself. #LI-Hybrid

Key responsibilities include designing, building, and maintaining scalable data pipelines using various technologies like SQL, Python, Databricks, and Snowflake. The role also involves leading data system integration, implementing CI/CD practices, and overseeing a team of data engineers.

Candidates must possess a Bachelor's or Master's degree in a relevant field along with a minimum of 2 years of industry experience in data engineering, demonstrating strong proficiency in SQL, Python, and big data technologies. Excellent problem-solving and communication skills are essential for success in this fast-paced environment.

Identified from the job description. Confirm important requirements above.

• Sql
• Python
• Databricks
• Snowflake
• Azure Data Factory
• Aws Glue
• Apache Airflow
• Pyspark
• Data Governance
• Ci/Cd
• Data Retrieval
• Dashboarding
• Reporting
• Data Engineering
• Big Data Technologies
• Cloud Services

• Data & Analytics
• Engineering
• Software
• Consulting
• Science & Research

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week