Senior Data Engineer
Talents LGS · Montreal, Quebec, Canada
Business Consulting and Services
About the role
The Senior Data Engineer will design, develop, and maintain scalable data pipelines and modern data platforms on Azure. They will collaborate with architects and AI teams to transform data into strategic assets through advanced data modeling and integration.
What they look for
Requirements
Candidates must have 5 to 10 years of experience in data engineering and a bachelor's degree in a relevant field. Strong technical expertise in SQL, Python, and Azure data services is required, along with a collaborative mindset.
Benefits
Full description
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 Senior Data Engineer – Hybrid Cloud & Data to participate in the design, development, and evolution of modern data platforms for our clients.
The successful candidate plays a key role in transforming data into strategic assets by collaborating with Data & AI architects, solution architects, BI analysts, and development teams.
This role combines data engineering, data modeling, pipeline development, data integration, optimization of analytics platforms, and contribution to Data and AI modernization initiatives.
The ideal candidate has strong technical expertise and a proven ability to design robust, scalable data solutions tailored to business needs.
Here’s how you will be involved:
- Design, develop, and maintain robust and scalable data pipelines.
- Develop data ingestion, transformation, and integration solutions.
- Implement and optimize ETL/ELT processes.
- Participate in the design and evolution of modern Data platforms on Azure.
- Design and optimize data models for analytics and AI needs.
- Ensure the quality, performance, performance, and reliability of data processing.
- Collaborate with architects, BI analysts, developers, and AI teams.
- Participate with architects, BI analysts, and AI teams.
- Participate with architects, BI analysts, developers, and AI teams.
- Contribute to deployment automation and continuous improvement of Data practices.
Your Experience
- 5 to 10 years of experience in data engineering.
- Bachelor’s degree in computer science, software engineering, data science, or a related field, or equivalent training combined with relevant experience.
- Significant experience developing modern Data solutions and Cloud Data platforms.
- Good understanding of Data Warehouse, Data Lake/Lakehouse, and Data Integration concepts.
- Proven experience in data modeling and pipeline development.
- Experience in large-scale analytics and AI environments.
- Experience in large-scale analytics and AI environments.
- Experience in consulting or professional services (an asset).
Required Technologies and Expertise
Required:
- Advanced SQL expertise.
- Experience with Python
- Experience with Python and ETL/ELT.
- Experience with the following Azure services:
- Azure Data Factory
- Azure Databricks
- Azure Data Lake Storage
- Azure Synapse Analytics
Assets:
- PySpark
- Apache Spark
- Delta Lake
- Microsoft Fabric
- Snowflake
- Azure DevOps, Git, and CI/CD
- Infrastructure as Code
- Power BI
Having obtained one or more certifications such as:
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
- Any relevant Azure or Data certification
You stand out through:
- Strong analytical and problem-solving skills.
- Autonomy and sense of responsibility.
- Collaborative mindset and strong communication skills.
- Collaborative mindset and strong communication skills.
- Technological curiosity and willingness to continuously learn.
- Bilingualism in French and English required to collaborate with teams outside Quebec.
Why Join Our Team
You will participate in strategic data modernization projects for large organizations and contribute to building next-generation Hybrid Cloud, Data, and AI platforms.
You will grow within a practice where innovation, technical excellence, and professional development are at the core of our achievements, with opportunities to work on modern Azure, Analytics, and AI technologies.
#CICJOBS #IBMJOB #LI-CM1
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
