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Data Bi Engineer Jobs in Quebec (NOW HIRING)

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... With your expertise in BI, Data warehousing and big data you'll contribute to the expanding ...

Tableau, Looker Studio, Power BI * Programming: Jupyter, VS code, Github * Programming languages: Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Our engineers are the technical visionaries driving our innovative solutions. Renowned globally for ... Proficiencyin Power BI for reporting and data visualization. Benefits * Group insurance

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Data Bi Engineer information

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can automate routine tasks, allowing data engineers to focus on architecture, data quality, and strategic analysis. Skills in programming, cloud platforms, and data management remain essential for the role.

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is a BI data engineer?

A BI data engineer designs, builds, and maintains data pipelines and systems to support business intelligence and analytics. They work with tools like SQL, ETL processes, and data warehouses to ensure data is accurate, accessible, and ready for analysis by data analysts and scientists.

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

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries such as finance or technology firms.

What is the salary of a BI engineer in the US?

The average salary of a Business Intelligence (BI) Engineer in the US ranges from $80,000 to $130,000 annually, depending on experience, location, and skills. Senior BI engineers with expertise in tools like Tableau, Power BI, or SQL can earn higher salaries, often exceeding $140,000. Certifications and proficiency in data modeling and ETL processes can also influence compensation.
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Posted 9 days ago


Job description

Power BI Developer

Outstanding opportunity to join a new Global data innovation and infrastructure lab at a global banking organisation as a Power BI Developer.

The successful applicant will serve as an integral member of the team responsible for:

  • Building comprehensive, user-friendly dashboards using Power BI
  • Perform development activities from requirements gathering, dashboard design, required code, testing and ultimate release / deployment of dashboards
  • Research and identify needs, goals, and business models by collaborating with the end users, stakeholders and support partners
  • Review current state of dashboards and identify ongoing improvement opportunities and best practice recommendations

Required Skills:

  • Proven advanced skill and experience with Power BI, ideally with Dax and Power Query development
  • ETL / SQL
  • Problem solving / troubleshooting experience /skills to assist Data Analytics team in issue resolution
  • Proven ability to independently champion business intelligence principles with business owners, application owners, data analysts and DBAs
  • Proven ability to handle multiple projects while meeting deadlines and documenting progress towards those deadlines
  • Ability to navigate complex data environments and manipulate large data sets
  • Excellent communication skills (must be able to interface with both technical and business leaders in the organization)
  • Excellent requirements gathering skills

Power BI Developer