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About the Role
As a Data Engineer, you will design, build, and optimize data pipelines and infrastructure for financial services clients. You will collaborate with consultants and stakeholders to deliver scalable, secure, and high-performance data solutions that support strategic decision-making in a dynamic, multi-project environment.
Responsibilities
- Develop ETL/ELT workflows for data extraction, transformation, and loading from diverse sources into warehouses, data lakes, and client applications.
- Contribute to full-stack platform and infrastructure projects, adapting to new technologies to deliver comprehensive client solutions.
- Build and maintain data assets and models for analytics, reporting, visualization, and operational use cases.
- Architect and implement data mesh patterns for domain-oriented data ownership.
- Collaborate with business teams, consultants, and analysts to gather requirements and ensure alignment with client objectives.
- Implement observability, monitoring, lineage, and compliance best practices for transparency and regulatory alignment.
- Contribute to migration projects from legacy platforms to modern data ecosystems.
- Build and maintain CI/CD pipelines for data applications, ensuring automated testing, deployment, and rollback in containerized environments.
- Collaborate with QA and Support teams to troubleshoot and resolve production issues, ensuring data quality and stability.
- Participate in client workshops, solution design sessions, and technical documentation preparation.
Requirements
- 5+ years of professional experience in data engineering, focusing on scalable data pipelines, ETL/ELT workflows, and data integration solutions.
- Proficiency in SQL and Python.
- Knowledge of Spark, PySpark, Scala, or Java is a strong asset.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data tools (e.g., Snowflake, Databricks, Airflow, AWS Glue, EMR, AWS Lambda).
- Experience working with ML Models, LLM frameworks and deploying GenAI pipelines (prompt chains, embeddings etc.).
- Experience with containerization (Docker) and orchestration (Kubernetes) in cloud environments.
- Familiarity with data mesh architecture principles and decentralized data ownership models.
- Experience with relational and NoSQL databases (PostgreSQL, Sybase, MySQL, DynamoDB) and storage/integration systems (S3, SFTP).
- Experience with scheduling and orchestration tools (CRON, Apache Airflow, AWS Step Functions).
- Strong understanding of data modeling, warehousing concepts, and real-time processing architectures.
- Experience with version control (Git/Bitbucket) and CI/CD practices using tools such as Jenkins.
- Familiarity with Infrastructure as Code solutions like Terraform and CloudFormation.
- Knowledge of observability, monitoring, and data lineage frameworks.
- Experience in financial services data domains (risk, compliance, trading, wealth/asset management, customer analytics).
- Excellent communication skills and ability to work with both technical and non-technical stakeholders.
- Resume required for application.
Skills
- SQL
- Python
- Spark
- PySpark
- Scala
- Java
- AWS
- Azure
- GCP
- Snowflake
- Databricks
- Airflow
- AWS Glue
- EMR
- AWS Lambda
- ML Models
- LLM frameworks
- GenAI pipelines
- Docker
- Kubernetes
- Data mesh
- PostgreSQL
- Sybase
- MySQL
- DynamoDB
- S3
- SFTP
- CRON
- Apache Airflow
- AWS Step Functions
- Data modeling
- Data warehousing
- Real-time processing
- Git
- Bitbucket
- Jenkins
- Terraform
- CloudFormation
- Observability
- Monitoring
- Data lineage
Location
- Toronto
Work Type
- Hybrid
- In-person interviews
Experience Level
- 5+ years of professional experience in data engineering
Salary/Compensations
- $70,000 - $120,000
Benefits
- 20 days annual leave plus public holidays
- Contribution to retirement account
- Health and Life insurance coverage from day 1
- Employee Assistance Program with 24/7 mental health support
- Extensive Perks Program
About the Company
- Synpulse is a leading global management and technology consultancy with Swiss roots, transforming financial institutions since 1996.
- We shape the future of financial services by delivering expertise in strategy, operations, and technology to banks and insurers worldwide.
- We cultivate a collaborative, high-impact culture where initiative and creativity are valued.
- With 21 offices across Europe, the Americas, and Asia-Pacific, we bring together diverse perspectives and talents.
- Our core values are Embrace, Drive, Achieve.
- We offer opportunities for development, impact, and being part of a team redefining financial services.
- We are a growing international company with Swiss roots and a strong corporate culture.
Equal Opportunity
- Internal and external events to drive our DE&I mission “Free To Be Me”