Top Benefits
About the role
Who you are
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related technical field
- Entry-level position: 0-2 years post-graduation experience, relevant internships/co-ops, or strong academic/personal projects demonstrating data engineering fundamentals (we value potential and learning ability over years of experience)
- Python 3.8+ – Clean, maintainable code
- SQL – Query writing and optimization basics
- AWS fundamentals – S3, IAM, Glue, Redshift basics
- Familiarity with Java systems is a plus
- Git & version control
- Data visualization basics – ability to create meaningful dashboards
- AI-assisted development – Comfortable using GitHub Copilot, ChatGPT, or similar tools to enhance productivity, learn new concepts, and accelerate problem-solving
- Strong communication skills – explaining technical concepts to non-technical stakeholders
- Attention to detail and analytical problem-solving mindset
- Team collaboration and stakeholder management
- BI/analytics tools experience (Quicksight, Tableau, Looker, etc.)
- REST API integration experience
- Experience working with business stakeholders on analytics projects
What the job involves
- Join our data team to build ETL pipelines and dashboards that power analytics across the organization. You'll develop data integrations, create visualizations for stakeholders, and collaborate closely with business teams to translate data needs into technical solutions
- Develop and maintain AWS Glue ETL jobs using PySpark
- Build data pipelines from multiple sources (APIs, databases) into our cloud data lake
- Create and maintain dashboards and reports for business stakeholders
- Work with business teams to understand data requirements and identify data-driven solutions
- Write and optimize SQL queries in Amazon Redshift
- Monitor pipelines, troubleshoot failures, and communicate data issues to stakeholders
- Translate business problems into technical data solutions
- Participate in code reviews and technical design discussions
- Leverage AI-assisted development tools (GitHub Copilot, ChatGPT, etc.) to accelerate development, debugging, and learning
- Use AI tools to generate documentation, write tests, and explore unfamiliar codebases efficiently
Benefits
- 4-Week Vacation
- Health & Wellness Coverage
- 100% Parental Leave Top-Up
- Downtown Vancouver Offices & Amenities including fitness centre
- Daily Coffee Runs & Weekly Team Lunches
- MacBook / Apple equipment
About Fi.span
FISPAN revolutionizes businesses’ financial operations by seamlessly integrating their bank into their ERP or accounting system. With FISPAN, businesses can harness the power and reliability of direct bank feeds for reconciliation and initiate payments directly from within their ERP systems, eliminating the need for manual intervention and cumbersome dual-screen accounting practices.
For banks aiming to bring their banking services closer to the heart of their client’s operations, FISPAN offers a direct partnership opportunity that simplifies the delivery of bank-branded embedded banking services to commercial clients. By partnering with FISPAN, banks can effortlessly enhance their clients’ banking experience and streamline their service offerings.
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Top Benefits
About the role
Who you are
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related technical field
- Entry-level position: 0-2 years post-graduation experience, relevant internships/co-ops, or strong academic/personal projects demonstrating data engineering fundamentals (we value potential and learning ability over years of experience)
- Python 3.8+ – Clean, maintainable code
- SQL – Query writing and optimization basics
- AWS fundamentals – S3, IAM, Glue, Redshift basics
- Familiarity with Java systems is a plus
- Git & version control
- Data visualization basics – ability to create meaningful dashboards
- AI-assisted development – Comfortable using GitHub Copilot, ChatGPT, or similar tools to enhance productivity, learn new concepts, and accelerate problem-solving
- Strong communication skills – explaining technical concepts to non-technical stakeholders
- Attention to detail and analytical problem-solving mindset
- Team collaboration and stakeholder management
- BI/analytics tools experience (Quicksight, Tableau, Looker, etc.)
- REST API integration experience
- Experience working with business stakeholders on analytics projects
What the job involves
- Join our data team to build ETL pipelines and dashboards that power analytics across the organization. You'll develop data integrations, create visualizations for stakeholders, and collaborate closely with business teams to translate data needs into technical solutions
- Develop and maintain AWS Glue ETL jobs using PySpark
- Build data pipelines from multiple sources (APIs, databases) into our cloud data lake
- Create and maintain dashboards and reports for business stakeholders
- Work with business teams to understand data requirements and identify data-driven solutions
- Write and optimize SQL queries in Amazon Redshift
- Monitor pipelines, troubleshoot failures, and communicate data issues to stakeholders
- Translate business problems into technical data solutions
- Participate in code reviews and technical design discussions
- Leverage AI-assisted development tools (GitHub Copilot, ChatGPT, etc.) to accelerate development, debugging, and learning
- Use AI tools to generate documentation, write tests, and explore unfamiliar codebases efficiently
Benefits
- 4-Week Vacation
- Health & Wellness Coverage
- 100% Parental Leave Top-Up
- Downtown Vancouver Offices & Amenities including fitness centre
- Daily Coffee Runs & Weekly Team Lunches
- MacBook / Apple equipment
About Fi.span
FISPAN revolutionizes businesses’ financial operations by seamlessly integrating their bank into their ERP or accounting system. With FISPAN, businesses can harness the power and reliability of direct bank feeds for reconciliation and initiate payments directly from within their ERP systems, eliminating the need for manual intervention and cumbersome dual-screen accounting practices.
For banks aiming to bring their banking services closer to the heart of their client’s operations, FISPAN offers a direct partnership opportunity that simplifies the delivery of bank-branded embedded banking services to commercial clients. By partnering with FISPAN, banks can effortlessly enhance their clients’ banking experience and streamline their service offerings.