BDO Canada LLP

Senior Data Engineer (Databricks Focused)

BDO Canada LLP$84K — $128K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in Computer Science, Data Engineering, or related field.
  • Minimum 5 years of hands-on data engineering experience with 3 years in Databricks and Apache Spark.
  • Proficient in the Microsoft Azure ecosystem, including Azure Data Lake and Azure Synapse.
  • Strong skills in using Databricks and Delta Lake for data solutions.
  • Advanced programming expertise in Python or Scala.
  • Understanding of CI/CD practices and tools like Azure DevOps.
  • Excellent communication skills with ability to liaise effectively with diverse stakeholders.

Responsibilities

  • Design and optimize data pipelines using Databricks and Apache Spark.
  • Develop scalable ETL processes for various data types ensuring quality and reliability.
  • Implement data integration solutions between cloud and on-premises sources.
  • Automate data transformation and validation processes.
  • Monitor and enhance the performance of data pipelines.
  • Lead technical aspects of client engagements in data engineering solutions.
  • Collaborate with teams to integrate data solutions into production environments.

Benefits

  • Flexible working model including office, client site, and virtual options.
  • Opportunity for career growth and mentorship in a collaborative environment.
  • Commitment to ethical business practices and a supportive company culture.
Full Job Description
Your Opportunity

BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This net new 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.

The expected range of compensation for this role is $84,000 to $128,000. This job posting is a pipelining exercise for upcoming engagements.

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.

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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About BDO Canada LLP

BDO Canada LLP is a leading accounting and advisory firm that provides a wide range of services to clients across Canada. The firm offers audit and assurance, tax, advisory, and consulting services to clients in various industries, including manufacturing, retail, real estate, and technology. BDO Canada LLP is part of the global BDO network, which operates in over 160 countries and employs over 80,000 people. The firm is committed to providing exceptional client service and helping clients achieve their business objectives.
Learn more about BDO Canada LLP
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4,000 employees
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