Data Engineer- AML and domain

Job Title:

Data Engineer

Location: Toronto, ON

Work Model: Hybrid (3–4 Days Work From Office)

Experience

Required:

6–8 Years

We are seeking an experienced Data Engineer with a strong foundation in data management principles and hands‑on expertise in building scalable data platforms. The ideal candidate will partner closely with IT and business stakeholders to analyze business, technical, and system requirements, and deliver high‑quality data solutions that support analytics, reporting, and regulatory needs across multiple lines of business.

• Design and develop software solutions for retrieving, parsing, and processing structured and unstructured data
  .
• Define and implement scalable ETL/ELT workflows for reporting and analytics.
• Develop scripts and programs to transform and convert data into usable formats.
• Contribute to technical design, development, and implementation of data‑driven applications.
• Ensure code quality, performance, scalability, and responsiveness of applications.

• Support project teams in scaling, monitoring, and operating data platforms for high availability and performance.
• Collaborate with internal teams to deliver software features, provide production support, and resolve defects.
• Participate in post‑implementation reviews
  , sharing learnings and driving continuous improvement.

• Collect and maintain metadata and data lineage information across systems, business processes, and data domains.
• Develop and maintain system‑level and attribute‑level data lineage documentation
  , including:
  • Data flow diagrams
  • Process maps
  • Metadata catalogs
• Identify and document data transformations to ensure traceability and transparency of data flows.
• Oversee metadata repositories and ensure lineage documentation is accurate and up to date.
• Work across multiple teams to embed metadata and lineage activities into standard project delivery.
• Collaborate with data owners, data stewards, developers, and production support teams to support data governance requirements
  .

• 6–8 years of experience in data engineering or related roles.
• Minimum 4 years of hands‑on experience in data lineage and metadata management.
• Strong data domain expertise in AML and Payments
  , particularly within:
  • Retail & Commercial Banking
  • Capital Markets
  • Wealth Management
  • ITS / Financial Services

• Proficiency in Advanced SQL
  , Python
  , and other data querying languages.
• Strong experience with Big Data and Cloud Technologies
  , including:
  • Spark, Hadoop, Hive, Kafka
  • Snowflake, Databricks
  • Azure Data Lake
  • Elasticsearch
• Strong understanding of object‑oriented design and functional programming concepts.
• Experience building and supporting high‑performance, scalable data platforms
  .

• Strong analytical and problem‑solving abilities.
• Excellent collaboration and communication skills.
• Ability to work across multiple teams and manage complex dependencies.
• Strong documentation and knowledge‑sharing mindset.

• Experience working in regulated financial services environments
  .
• Exposure to enterprise data governance frameworks and tools.