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Senior Data Engineer (Databricks Focused)

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, build, and optimize data pipelines using Databricks, Delta Lake, and Apache Spark

  • Develop scalable ETL processes for structured and unstructured data

  • Automate data ingestion, transformation, and validation workflows

  • Serve as primary technical lead on client data engineering engagements

  • Mentor junior team members on data engineering best practices

From the employer’s posting
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.
Automate data ingestion, transformation, and validation workflows.
Serve as a primary technical lead for client engagements focused on data engineering and analytics solution delivery.
Mentor junior team members and promote adoption of best practices in data engineering and cloud analytics.
Education & alternatives
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.
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Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 2026today
Recorded sightings
2
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Bdo is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 20% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Scala
  • Azure
  • Databricks
  • Delta Lake
  • Spark
  • Terraform
Where the posting names them
- 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.
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
- 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.
- 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.
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.
- 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.
- 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.

Your next step

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Has Bdo posted this job before?

Yes. We’ve followed 2 other Senior Data Engineer (Databricks Focused) jobs there since May 2026. One came down after 148 days. One is still up.

  1. TorontoCame down after 148 days, first seen May 14
  2. TorontoStill up after 1 day, first seen Nov 3
  3. This jobUp 1 day so far, first seen Nov 3

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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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