Junior to Intermediate Data Engineer

Job summary

Participate in the design, development, and support of data pipelines to enable analytics and artificial intelligence. Collaborate with senior engineers to perform data extraction, transformation, loading, and quality validations.

Job details

At IBM Consulting FutureNow, we unite human expertise and artificial intelligence to deliver client results with certainty, speed, and value. Fueled by LGS, with offices in Montreal and Quebec City, we combine the strength of the IBM network with the proximity of a Quebec-based company. Our professionals work in specialized teams on high-impact projects, offering both on-site and remote services. Regardless of your level of experience, you will be paired with a coach to accelerate your professional development in an environment where we build the future, now. The benefits of joining our team: For continuous learning: access to IBM's intellectual capital and training on a multitude of cutting-edge technologies. For your well-being: a comprehensive group insurance package including telemedicine services, a retirement savings plan with employer contribution, IBM shares at a reduced rate, supplementary parental leave benefits and a wellness allowance! To enjoy more of life: annual vacation, company holidays, and time-off for life events. As part of the growth of our Hybrid Cloud & Data practice (AI, Analytics & Data Services), we are looking for a Junior to Intermediate Data Engineer – Hybrid Cloud & Data to contribute to the development and evolution of modern data solutions. Under the supervision of experienced Data Architects and Engineers, the successful candidate will participate in the design, development, and support of data pipelines that enable organizations to leverage their information for analytics, decision-making, and artificial intelligence. Here is how you will be involved: Collaborate with senior Data Engineers, Architects, and analytics teams. Participate in code reviews and development best practices. Document developed solutions. Gradually develop expertise in modern Data architecture. Data Development Participate in the development of data pipelines. Perform data extraction, transformation, and loading (ETL/ELT). Develop scripts and data processing components. Perform data quality validations. Resolve issues related to processing and integrations. Cloud Data Platforms Participate in projects using: Microsoft Azure Microsoft Fabric Azure Data Factory Azure Data Lake Storage Azure Databricks Power BI Azure SQL Contribute to modern architectures: Data Lakehouse Data Warehouse Medallion Architecture Data Integration Your Experience: University or college degree in computer science, software engineering, data science, or a related field. 1 to 5 years of relevant experience. Knowledge of SQL. Basic knowledge of Python. Understanding of relational database concepts. Understanding of ETL/ELT concepts. Knowledge of Cloud environments (an asset). Knowledge of Power BI or BI tools (an asset). Knowledge of Azure Data Services (an asset). You stand out through your: Strong interest in data, Cloud technologies, and artificial intelligence. Technological curiosity and eagerness to learn. Ability to work collaboratively in a team environment. Strong analytical and problem-solving skills. Bilingualism in French and English, as you will be required to collaborate with resources outside of Quebec. Why Join Our Team You will have the opportunity to develop your expertise alongside Data, Cloud, and AI experts while contributing to modern projects using the most in-demand technologies on the market. You will be supported in your professional development to progress toward an autonomous Data Engineer role and eventually toward a Data Architect or Data Specialist position. #IBMJOBS #CICJOBS #LI-IO1 The use of the masculine gender is done solely for the purpose of simplifying reading and research, and does not aim at any form of discrimination. LGS values diversity and inclusion and this wording has no discriminatory intent. Be Yourself at LGS LGS is committed to considering all qualified candidates without regard to ethnicity, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodiversity, age, veteran status, or other characteristics. This role may involve working with one or more technologies covered by export regulation sanctions. If you are not a Canadian permanent resident or Canadian citizen, please inquire with your talent acquisition advisor. AP-2001094

What you’ll do

Participate in the design, development, and support of data pipelines to enable analytics and artificial intelligence. Collaborate with senior engineers to perform data extraction, transformation, loading, and quality validations.

Requirements

Requires a university or college degree in computer science or a related field with 1 to 5 years of relevant experience. Proficiency in SQL and basic Python knowledge are required, with Azure cloud services being a strong asset.

Benefits

• Comprehensive Group Insurance
• Telemedicine Services
• Retirement Savings Plan
• Employer Contribution
• IBM Shares At A Reduced Rate
• Supplementary Parental Leave Benefits
• Wellness Allowance
• Annual Vacation
• Company Holidays
• Time-off For Life Events
• Access To IBM Intellectual Capital And Training

Listed skills

• Microsoft Azure · Preferred
• Power BI · Preferred
• SQL · Preferred
• Loading · Preferred
• Analytical · Preferred
• Training · Preferred
• Microsoft · Preferred
• Client · Preferred
• Data analysis · Preferred
• Development · Preferred
• Design Development · Preferred
• Time · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• ETL/ELT
• Microsoft Azure
• Microsoft Fabric
• Azure Data Factory
• Azure Data Lake Storage
• Azure Databricks
• Power BI
• Azure SQL
• Data Lakehouse
• Data Warehouse
• Medallion Architecture
• Data Integration
• Relational Databases
• Bilingualism (French/English)
• Continuous Development
• Hybrid Cloud Computing
• Azure Data Lake
• Curiosity
• Willingness To Learn
• Bilingual (French/English)
• Research
• Artificial Intelligence
• Business Intelligence
• Decision Making
• Code Review
• Computer Science
• Data Processing
• Consulting
• Data Architecture
• Data Engineering
• Data Extraction
• Extract Transform Load (ETL)
• Data Quality
• Data Warehousing
• Intellectual Capital
• Problem Solving
• Python (Programming Language)
• Software Engineering
• SQL (Programming Language)
• Telehealth
• Data Science
• Cloud Technologies
• Data Pipelines

Job areas

• Data & Analytics
• Technology
• Consulting
• Software
• Engineering
• Data Engineer
• Software Developers
• Database Administrators

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