Senior Data Engineering Analyst

Servus Credit Union Logo

Servus Credit Union

๐Ÿ“Remote - Canada

Summary

Join Servus Credit Union as a Senior Data Engineering Analyst and contribute to enhancing the organizationโ€™s data structures, movement, scalability, and availability. Collaborate with cross-functional teams to modernize data architecture, design and construct data pipelines, and optimize data storage costs. Provide support to various stakeholders on data initiatives, demonstrating self-direction and addressing the requirements of multiple teams and systems. Advance data platforms to enhance next-generation products and services for members. This role is crucial for improving data quality, security, and compliance. The position requires a Bachelor's degree and 10+ years of relevant experience.

Requirements

  • Bachelor's degree in computer science, Data Science, Information Systems, or related field
  • 10 years of hands-on experience in cloud-based data engineering, preferably in Azure environments
  • Deep understanding of Databricks, including data ingestion, transformation, and performance tuning
  • Proficiency in SQL and Python; experience building scalable ETL/ELT solutions using tools such as Azure Data Factory, Synapse Pipelines, or Databricks DLT
  • 5+ years of data modeling experience, including schema design and dimensional modeling
  • Solid experience with CI/CD, Git-based development, and monitoring pipelines in production environments
  • Excellent communication skills with the ability to lead cross-functional initiatives and collaborate with both technical and business teams
  • Demonstrated passion for innovation, standardization, and driving efficiency through data

Responsibilities

  • Work closely with cross-functional teams to deliver high-quality data solutions and ensure the integrity, availability, and performance of data platforms
  • Design and deliver enterprise-scale data pipelines and transformation workflows
  • Develop and manage data transformations using the medallion architecture to deliver trusted and curated data products
  • Design and build infrastructure for optimal ETL of structured, semi-structured, and unstructured data
  • Design and implement DevOps practices including CI/CD, code reviews, automated testing and deployment, and cloud resource optimization for reliable and scalable operations
  • Establish DataOps processes such as workflow orchestration, pipeline monitoring, and cost tracking to ensure data pipeline reliability, efficiency, and alignment with business needs
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver data products for BI, self-service reporting, advanced analytics, and AI/ML use cases
  • Prepare data for predictive and prescriptive modeling and assist in deploying machine learning and advanced analytics solutions
  • Work with IT teams to troubleshoot and resolve data-related technical and platform issues
  • Ensure data quality, security, access control, and regulatory compliance in partnership with data governance, privacy, and security teams
  • Monitor data protection controls, identify gaps, and recommend solutions in collaboration with the Data Governance, Security, Privacy, and Risk Management teams
  • Stay current with emerging technologies and lead R&D efforts to evaluate new cloud and AI tools that deliver business value
  • Develop and standardize reusable processes, frameworks, and components for consistent and efficient data engineering practices
  • Build and maintain integration tools, APIs, and pipelines across the data platform ecosystem using modern programming languages and ETL tools to handle growing data volume and complexity
  • Build analytics tools that provide actionable insights into key business performance areas such as customer acquisition and operational efficiency
  • Lead data engineering projects, ensuring timely delivery and adherence to expectations, and following DevOps methodologies
  • Align initiatives with the strategic direction set by leadership and take ownership of execution and delivery

Preferred Qualifications

  • Experience with dbt Cloud as a transformation framework is a strong asset
  • Familiarity with Power BI, machine learning workflows, and operationalizing models
  • Strong understanding of data science, advanced analytics, and agentic AI concepts
  • Exposure to data governance, data security, and regulatory compliance frameworks

Benefits

  • Health and wellness
  • Vacation
  • Retirement savings programs
  • Training & Development Opportunities
  • Career Advancement Potential
  • Flexible work options
  • Competitive Compensation including performance-based incentive pay
  • Meaningful work towards individual and corporate goals
  • Opportunities to get involved and give back through an employee volunteer program
  • Profit sharing

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.

Similar Remote Jobs