Senior Data Engineer (Databricks)
Design, build, and maintain scalable data pipelines using Databricks while managing CI/CD workflows via Azure Pipelines. Optimize ETL/ELT processes for performance and collaborate with stakeholders to define data requirements and ensure data quality.
- Remote
- Canada
- Posted Aug 26, 2026
- 1 position
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Job summary
Unlock Your Future with Nexaminds! At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth. Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong. Nexaminds is looking for a Senior Databricks Engineer to lead the development, optimization, and scaling of our data solutions. The ideal candidate has hands-on expertise building end-to-end pipelines on Databricks and enjoys working in a fast-paced, highly collaborative environment. Location: CANADA Qualifications we are looking for: * 7+ years of experience in data engineering or similar roles. * Strong expertise with Databricks (Spark, Delta Lake, Workflows, SQL). * Experience building production-grade ETL/ELT pipelines. * Proficiency in Azure DevOps (ADO) pipelines and enterprise secret management. * Solid understanding of the Microsoft ecosystem and cloud platforms, with a focus on Azure architecture, authentication, and identity concepts. * Proficiency in Python and/or Scala. * Experience with data modeling, data warehousing, and distributed computing. Job duties: * Design, build, and maintain scalable data pipelines using Databricks (SQL, Python, Spark). * Develop and manage CI/CD workflows using Azure Pipelines, integrating Azure Key Vault (KV) for secure secret and credential management. * Optimize ETL/ELT processes for performance, reliability, and cost efficiency. * Implement best practices for data quality, governance, and cloud security. * Collaborate with data engineers, analysts, and stakeholders to define data requirements. * Troubleshoot and resolve issues across data workflows and distributed systems. * Support migration, modernization, or cloud data platform initiatives. What you can expect from us Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness. * Stock options 📈 * Remote work options 🏠 * Flexible working hours 🕜 * Benefits above the law * But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros. * You'll have access to mentorship and tons of opportunities to learn and level up. Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!
What you’ll do
Design, build, and maintain scalable data pipelines using Databricks while managing CI/CD workflows via Azure Pipelines. Optimize ETL/ELT processes for performance and collaborate with stakeholders to define data requirements and ensure data quality.
Requirements
Requires 5+ years of experience in data engineering with strong expertise in Databricks, Spark, and Azure cloud architecture. Proficiency in Python or Scala and experience with production-grade ETL/ELT pipelines are essential.
Benefits
• Stock options • Remote work options • Flexible working hours • Mentorship opportunities
Listed skills
- Microsoft AzurePreferred
- SQLPreferred
- CI/CDPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Databricks
- Spark
- Delta Lake
- SQL
- ETL/ELT Pipelines
- Azure DevOps
- Azure
- Python
- Scala
- Data Modeling
- Data Warehousing
- Distributed Computing
- CI/CD
- Azure Key Vault
- Cloud Security
- Data Governance
- Azure Pipelines
- Pipelines
- Workflow Management
- Go (Programming Language)
- Ethical Standards And Conduct
- ADO.NET (Programming Language)
- Artificial Intelligence
- Authentications
- Microsoft Azure
- Management
- Data Engineering
- Extract Transform Load (ETL)
- Data Quality
- Governance
- Scalability
- Innovation
- Python (Programming Language)
- Mentorship
- Scala (Programming Language)
- SQL (Programming Language)
- Troubleshooting (Problem Solving)
- Visionary
- Reliability
- Credential Manager
- Data Pipelines
Job areas
- Data & Analytics
- Software
- Technology
- Engineering
- Data Engineer
- Software Developers
- Database Administrators
Additional details
- Minimum experience
- 7+ years
- Posting language
- English
- Working hours
- 40 hours per week