Senior Data Engineer

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.

Responsibilities

• Develop and manage ETL/ELT workflows to support data ingestion, transformation, and integration.

• Design, implement, and optimize data models and structures within data platforms.

• Collaborate with data analysts, architects, and business teams to understand data requirements and translate them into efficient technical solutions.

• Ensure data quality, reliability, and performance across all data processes.

• Monitor, troubleshoot, and optimize existing data pipelines and integration solutions.

• Support the deployment, documentation, and continuous improvement of data engineering processes and workflows.

Requirements and Qualifications

• Strong SQL skills and solid knowledge of structured and semi-structured data formats.

• Good understanding of cloud-based data engineering concepts and modern data warehousing practices.

• Ability to troubleshoot issues, optimize performance, and deliver reliable data solutions.

• Strong communication and documentation skills.

Preferred Qualifications

• Experience with Talend for ETL/ELT development.

• Experience with Snowflake, including data loading, performance tuning, and leveraging platform-specific features.

• Experience with version control systems and CI/CD processes applied to data pipelines.

• Familiarity with dbt or similar data transformation tools.

• Knowledge of data governance principles, data quality frameworks, and industry best practices.

• Experience with other Azure services (e.g., Azure Data Factory, Azure Databricks) is considered an asset.

Preferred Tools and Technologies

• Talend Studio

• Talend Management Console

• Snowflake Snowsight

• Azure DevOps

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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.

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