Finance Staff Data Engineer, AI Native

Job Summary

Jobgether is seeking a Finance Staff Data Engineer, AI Native to join a leading partner company in Canada. This high‑impact role focuses on building and scaling data platforms that drive financial reporting, accounting workflows, and compliance systems.

Key Responsibilities

• Design, develop, and maintain robust data pipelines that ingest, transform, and store financial data from multiple sources.
• Collaborate with finance, compliance, and product teams to translate business requirements into scalable data solutions.
• Implement AI‑native tools and frameworks to automate data quality checks, anomaly detection, and predictive analytics.
• Optimize data models for performance, security, and regulatory compliance (e.g., GDPR, PCI‑DSS).
• Monitor, troubleshoot, and resolve data platform issues in a production environment.
• Document architecture, data lineage, and best practices for internal stakeholders.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, Finance, or a related field.
• 3+ years of hands‑on experience as a data engineer, preferably in a finance or fintech setting.
• Proficiency with SQL, Python, and data‑engineering frameworks such as Apache Spark, Airflow, or dbt.
• Experience with cloud platforms (AWS, Azure, or GCP) and modern data warehouses (Snowflake, BigQuery, Redshift).
• Familiarity with AI/ML tooling (TensorFlow, PyTorch, MLflow) and integrating models into data pipelines.
• Strong understanding of financial data concepts, accounting systems, and regulatory reporting.
• Excellent problem‑solving abilities and effective communication skills.

Benefits

• Competitive compensation package.
• Flexible remote‑first work environment.
• Opportunities for continuous learning and AI‑focused professional development.
• Collaborative culture with cross‑functional teams.

Frequently Asked Questions

What type of projects will I work on as a Finance Staff Data Engineer?

You will build and maintain data pipelines, implement AI‑driven data quality checks, and create scalable data models that support financial reporting, accounting workflows, and compliance monitoring.

Do I need prior experience in finance to apply?

While a strong background in data engineering is essential, experience with financial data, accounting systems, or fintech environments is highly preferred.

Is remote work possible for this position?

Yes, the role offers a flexible remote‑first arrangement, allowing you to work from anywhere in Canada.