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BDO Canada

Senior Data Engineer (Databricks Focused)

AB, Canada
Edmonton, AB, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a people-first culture with a high priority on your personal and professional growth.

Your Opportunity

BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical leadership with hands-on data engineering, focusing on delivering scalable, secure, and production-grade data pipelines using Azure and Databricks. The successful candidate will also lead client engagements, aligning data initiatives with business objectives to create real-world impact.

Key Responsibilities

Data Engineering and Platform Development

Design, build, and optimize robust data pipelines using Databricks, Delta Lake, and Apache Spark.
Develop scalable ETL processes for structured and unstructured data, ensuring data quality and reliability.
Implement data integration solutions across cloud and on-premises sources, leveraging Databricks and Azure Data Lake.
Automate data ingestion, transformation, and validation workflows.
Monitor, troubleshoot, and enhance data pipeline performance and reliability.
Ensure compliance, security, and operational excellence across all data workflows.

Client and Team Leadership

Serve as a primary technical lead for client engagements focused on data engineering and analytics solution delivery.
Translate business requirements into scalable data architectures and operational plans.
Collaborate with cross-functional teams to integrate data solutions into production environments.
Mentor junior team members and promote adoption of best practices in data engineering and cloud analytics.

Data Application

Convert business requirements and analytics prototypes into robust, scalable data solutions.
Apply appropriate data modeling and transformation techniques to support analytics and machine learning initiatives.
Document data pipelines and contribute to internal knowledge sharing.

Qualifications

Required

Educational Background: A Bachelor’s or master’s degree in Computer Science, Data Engineering, Information Systems, or a closely related discipline. Strong foundation in data structures, algorithms, and distributed systems.
Professional Experience: A minimum of 5 years of hands-on experience in data engineering, including at least 3 years of direct experience with Databricks, Apache Spark, and cloud data platforms. Proven success in deploying and maintaining large-scale data solutions in production environments.
In-depth knowledge of the Microsoft Azure ecosystem, with demonstrated experience using services such as Azure Data Lake, Azure Databricks, Azure Synapse, and Azure DevOps.
Very strong proficiency with Databricks, including hands-on work with Delta Lake, Apache Spark, and data pipeline orchestration. Experience optimizing performance and reliability in production.
Advanced programming skills in Python and/or Scala, with practical experience using data engineering libraries and frameworks.
Solid understanding of CI/CD practices, with experience designing and maintaining pipelines using tools like GitHub Actions, Azure DevOps, or Jenkins. Familiarity with infrastructure-as-code tools such as Terraform or ARM templates for automating environment provisioning and deployment.
Excellent written and verbal communication skills, with the ability to effectively engage with a range of stakeholders, including data scientists, engineers, business partners, and executive leadership. Proven ability to explain technical concepts to non-technical audiences and influence decision-making.

Preferred

Certifications: Professional certifications such as Databricks Certified Data Engineer or Microsoft Certified, e.g. Azure Data Engineer Associate.
Experience with data governance, data security, and compliance frameworks.
Consulting experience and excellent communication and client management skills.

Why BDO?

Our people-first approach to talent has earned us a spot among Canada’s Top 100 Employers for 2026. This recognition is a milestone we’re thrilled to add to our collection of awards for both experienced and student talent experiences.

At BDO, our people experience is guided by three core pillars - Do work with genuine care, Do what matters with purpose, and Do what’s next - shaping how we support our people, serve our clients, and grow together.

Our firm is committed to providing an environment where you can be successful in the following ways:

We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
We support your achievement of personal goals outside of the office and making an impact on your community.
We foster a collaborative, inclusive environment where your ideas are valued, and you can do your best work with genuine care and purpose
We encourage innovation and forward thinking, empowering you to embrace what’s next and help shape the future of our firm

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide comprehensive benefits from day one, and a flexible personal time off policy. We’re committed to supporting your overall wellbeing and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts: We are committed to creating a workplace where employees can participate fully, contribute meaningfully and succeed without barriers. We are dedicated to fostering a workplace defined by respect, fairness, and a true sense of belonging for everyone. We recognize and celebrate the unique experiences, identities, and perspectives that each of us bring – and that these experiences strengthen how we work together. Our commitment extends to ensuring that our application process is both inclusive and accessible. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It’s about creating work experiences that meet everyone’s needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada’s Privacy Policy can be found here:

Privacy Policy | BDO Canada

Ready to make your mark at BDO? Click “Apply now” to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out our careers page.

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More about this job

Responsibilities

Design, build, optimize, and maintain secure, production-grade data pipelines and scalable ETL solutions using Databricks, Delta Lake, Apache Spark, and Azure. Lead client engagements, translate business needs into data architectures, collaborate with delivery teams, and mentor junior engineers.

Requirements

Requires a bachelor’s or master’s degree in a related discipline, at least five years of data engineering experience, and at least three years working directly with Databricks, Spark, and cloud data platforms. Candidates should have strong Azure, Python and/or Scala, production pipeline, CI/CD, and communication experience; Databricks or Microsoft certifications and governance or consulting experience are preferred.

Skills

Databricks
Delta Lake
Apache Spark
Azure
Data Engineering
Data Pipeline Development
ETL
Python
Scala
Data Modeling
CI/CD
Azure DevOps
GitHub Actions
Jenkins
Terraform
Client Leadership

Benefits

Comprehensive Benefits
Flexible Personal Time Off
Wellness Reimbursement
Learning And Development Opportunities
Flexible Work Arrangements
Competitive Total Cash Compensation

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Lake
Apache Spark
Microsoft Azure
Azure Data Lake
Azure Databricks
Azure Synapse
Azure DevOps
Data Engineering
Data Pipelines
ETL
Data Integration
Data Quality
Distributed Systems
Python
Scala
CI/CD
GitHub Actions
Jenkins
Terraform
ARM Templates
Data Modeling
Data Governance
Data Security
Machine Learning
Cloud Analytics
Data Orchestration
Databricks Certified Data Engineer
Azure Data Engineer Associate
Consulting

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