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Data Engineer Data Jobs in Calgary, AB (NOW HIRING)

Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data Lakehouse architecture and enterprise platforms. * Demonstrate a strong understanding of Data Lakehouse ...

Staff Data Scientist

Calgary, AB ยท Hybrid

CA$192K - CA$230K/yr

Partner with Data Engineering to optimize data pipelines for ML and with Product to ensure technical feasibility of the long-term vision. * Lead the implementation of Model Interpretability (XAI ...

We are SLR Consulting (Canada), an 800+ team of advisory, environmental/engineering, and regulatory ... As our new Environmental Data Manager , you will play an important role on a team whose work is ...

Experience using Databricks for data engineering, analytics, and application development * Proficiency in data analytics and visualization tools (e.g., Power BI, Spotfire, R Studio, or similar)

As Manager, Information Services, you'll lead a multidisciplinary team of data engineers, analysts, and AI specialists responsible for building and maintaining the data systems, pipelines, and ...

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities ... developers, information designers, and business/industry leaders. You will be responsible for ...

Data Scientist

Calgary, AB ยท Hybrid

CA$131K - CA$150K/yr

We're looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity ... engineering) . This role is a backfill for an existing position. What you will find here:

Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations * Eliminate manual data quality ...

Collaborate with cross-functional teams including data scientists, engineers, business analysts, and stakeholders to define project requirements, objectives, and timelines. * Work closely with ...

Description The Opportunity We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering ...

You will work directly with client stakeholders, project teams, data engineers, architects, and analytics specialists to define business requirements, map business processes, improve data quality ...

Senior Data Scientist Location: Princeton, NJ, New York, N, or Charlottesville, VA. Toronto, ON ... Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ...

Senior Data Scientist Location: Princeton, NJ or New York, N, or Charlottesville, VA. Toronto, ON ... Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.

Senior Manager, Data Platform(s) Architect, Data & AI

KPMG

Calgary, AB โ€ข On-site

Full-time

Posted 9 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canadaโ€™s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our Data & AI team is one of our fastestgrowing practices, with strong client demand across sectors to modernize data platforms and operationalize AI. Our mission is to help clients harness the full potential of the lakehouse paradigm centered on Databricks - to unlock the power of their data and drive business transformation with trustworthy, secure, and scalable AI. As a member of our team, youโ€™ll work with cuttingedge technology, tackle complex data challenges, grow your skills, and contribute to business growth and innovation in a dynamic and inclusive environment.


What you will do
  • Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement.
  • Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution.
  • Analyze, implement, and resolve issues with existing modern data platforms
  • Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform.
  • Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads across environments, ensuring robust automation and operational stability.
  • Design modern data foundations including streaming/batch pipelines, medallion architecture, semantic layer, and data products.
  • Lead delivery teams through design, build, testing, and deployment, ensuring quality and operational excellence.
  • Drive presales, partner collaboration, proposal writing, responding to RFPs, solution demos, PoCs, and technical storytelling.
  • Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
  • Own scoping, estimation, and task planning for assigned projects.
  • Embed data management leading practices, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
  • Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
  • Own delivery outcomes for client engagements, including timelines, quality, and operational stability
  • Remaining up to date in new and emerging technologies

What you bring to the role
  • 10+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) initiatives.
  • Handson Databricks and Fabric expertise across the whole data and analytics continuum.
  • Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
  • Expert skills in SQL, Python, and distributed data processing.
  • Deep understanding of data management including architecture, data engineering, governance, and data quality.
  • Strong delivery leadership including estimation, planning, and stakeholder communication.
  • Ability to translate business needs into technical solutions.
  • Relevant certifications (Databricks, Fabric or cloud architect).
  • You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
  • You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clientsโ€™ objectives and challenges.
  • You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
  • Youโ€™re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
  • You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
  • You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $150,000 to $192,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Informationย ย ย 

The expected base salary range for this position isย $140,000 to $179,500ย and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.ย 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right |ย Excellence, we never stop learning and improving |ย Courage, we think and act boldly | Together, we respect each other and draw strength from our differences |ย For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMGโ€™s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMGโ€™s Trusted AI framework.

We believe technology should empower human judgment, not replace it. Itโ€™s one of the many ways weโ€™re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • 10+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) initiatives.
  • Handson Databricks and Fabric expertise across the whole data and analytics continuum.
  • Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
  • Expert skills in SQL, Python, and distributed data processing.
  • Deep understanding of data management including architecture, data engineering, governance, and data quality.
  • Strong delivery leadership including estimation, planning, and stakeholder communication.
  • Ability to translate business needs into technical solutions.
  • Relevant certifications (Databricks, Fabric or cloud architect).
  • You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
  • You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clientsโ€™ objectives and challenges.
  • You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
  • Youโ€™re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
  • You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
  • You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $150,000 to $192,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Informationย ย ย 

The expected base salary range for this position isย $140,000 to $179,500ย and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.ย 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME