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Data Engineer Intermediate Jobs in Quebec (NOW HIRING)

Nord Quantique

CA$114K - CA$127K/yr

We are an interdisciplinary team of scientists, engineers, innovators, builders, and enthusiasts on ... Intermediate knowledge of French, an asset Sought profile: * Pragmatism and good judgment (security ...

SHI

Canada Solutions Engineer

Quebec, QC · On-site +1

Job Summary The Solutions Engineer collaborates with account teams to assess customer data center ... Experience working in complex Data Center sales opportunities - Intermediate * Ability to design ...

Calian Group

Advanced Technologies Department 1: Engineering Department 2: Defence Job Type: Full-time Position ... Providing feedback and (or) data clarification to the project management authority * Conducting ...

SNC-Lavalin

Supported by junior and intermediate engineers and CADD designers, they are involved in all stages ... We connect people, data and technology to transform the world's infrastructure and energy systems.

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Data Engineer Intermediate information

What are the key skills and qualifications needed to thrive as a Data Engineer Intermediate, and why are they important?

To thrive as a Data Engineer Intermediate, you need strong programming skills in languages like Python or Java, experience with database systems (SQL/NoSQL), and a solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with tools such as Apache Spark, Hadoop, Airflow, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help set candidates apart in this role. These competencies ensure efficient data pipeline development, reliable data infrastructure, and effective collaboration with data teams and stakeholders.

What are some common challenges Data Engineer Intermediates face when working with large-scale data pipelines?

As a Data Engineer Intermediate, you may frequently encounter challenges related to maintaining data quality and consistency across multiple sources, optimizing ETL processes for performance, and ensuring data pipelines are scalable to handle increasing data volumes. Troubleshooting data latency issues and managing dependencies between data sets are also common hurdles. Collaborating closely with data analysts, data scientists, and other engineers is essential to address these challenges and deliver reliable, high-quality data solutions.

What are Data Engineer Intermediates?

A Data Engineer Intermediate is a professional who designs, builds, and maintains data pipelines and architectures, typically with a few years of experience in the field. They are responsible for collecting, transforming, and storing data in ways that make it accessible and usable for analytics and business intelligence. Intermediate data engineers often work with tools like SQL, Python, ETL frameworks, and cloud platforms. They collaborate with data scientists, analysts, and other engineers to ensure data quality and optimize data workflows. This role requires a good understanding of data modeling, database systems, and data integration techniques.

What is the difference between Data Engineer Intermediate vs Data Engineer Junior?

AspectData Engineer IntermediateData Engineer Junior
Required CredentialsBachelor's in CS, experience with SQL, Python, ETL toolsEntry-level, basic knowledge of SQL and scripting
Work EnvironmentCollaborates on complex data pipelines, supports data architectureAssists in data tasks, learns from senior engineers
Employer & Industry UsageUsed in tech, finance, healthcare sectors for data projectsCommon in similar industries as entry-level role
Comparison Search IntentUnderstanding role progression, skills requiredEntry-level position, learning expectations

The main difference between Data Engineer Intermediate and Data Engineer Junior lies in experience, skill level, and responsibilities. Intermediate engineers handle more complex data pipelines and support data architecture, while junior engineers focus on learning foundational skills and assisting senior staff. This distinction helps employers and candidates understand career progression and required competencies.

What are the most commonly searched types of Data Engineer jobs in Quebec? The most popular types of Data Engineer jobs in Quebec are:
What cities in Quebec are hiring for Data Engineer Intermediate jobs? Cities in Quebec with the most Data Engineer Intermediate job openings:
Data Engineer Intermediate jobs near you
Software Engineer, Intermediate or Senior

Software Engineer, Intermediate or Senior

Index

Montreal, QC • On-site

Full-time

Posted 22 days ago

Job description

Index is an Artificial Intelligence company specializing in Web Marketing. Index is innovating the marketing business and how enterprises and people interact with it. Its flagship product, Alya.ai, leverages state-of-the-art AI technologies to help companies manage whole marketing portfolios with ease. As part of its expansion, Index is looking for a new full time Software Engineer to be part of its Montreal team.

You will be a great addition to the team if you are a communicative person that exposes your difficulties and ideas, you always strive for excellence when the matter involves colleagues and clients, you love learning and trying new things, and you want to be part of a team with an international impact. If you recognize yourself in that description, we want to meet you.

At Index, some of your activities will include:

  • Project leadership: Engaging with different departments to help design the best software solution for the challenges faced;
  • Working closely with product owners, full-stack developers and designers of various teams;
  • Contribute to the company’s research and development activities;
  • Assure quality control (clean code culture).

Skills / Experience

  • Experience in large-scale systems
  • Architecture designs and its applications
  • Database design knowledges: SQL & NoSQL
  • Cloud as Infrastructure: GCP, AWS
  • Distributed solutions and microservices: Kubernetes, Docker, Message Brokers
  • Big Data Knowledge: Spark, Hive, Flink, or similars
  • Javascript stack or similars

Professional Profile

  • You are a motivated and friendly team-player who will bring energy and a positive attitude to the position;
  • You thrive in an agile environment that is in constant growth;
  • You have excellent communication skills and respect for deadlines;
  • You have a UX-Driven thinking. You put first the added value brought by your solution to the user.

Assets

  • Degree in computer science or similar
  • Data science understanding (machine learning, A.I., statistics)
  • Experience with data science / AI solutions
  • Background in startups, SaaS, or scaling various technology products
  • Contributed to open-source projects
  • International experience
  • Brazilian Portuguese working proficiency
  • Digital marketing knowledge

Benefits

  • Competitive salary
  • High-growth, high-impact on some of Canada’s largest companies
  • Regular team activities
  • Possibility of annual bonus
  • Possibility of company stock options
  • Startup vibe (casual dress code, espresso machine, babyfoot)
  • International opportunities

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