Description

Your Growth Unleashed

Where your journey begins and your potential shines

At Synpulse, we don’t just consult – we transform. As a leading global management and technology consultancy with Swiss roots, we empower financial institutions to navigate change and seize new opportunities. Since 1996, we've been shaping the future of financial services by delivering cutting-edge expertise in strategy, operations, and technology to banks and insurers worldwide.

What sets us apart is our people. At Synpulse, 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. We believe innovation thrives where everyone feels they belong and can contribute.

Our core values – Embrace, Drive, Achieve – shape how we work and evolve. We don’t just offer jobs – we offer the chance to develop, make an impact, and be part of a team that’s redefining the future of financial services.

Are you excited about transforming the way we bank by using the latest technology? We are too!

Note: The selection process will involve in-person interviews.

As a Data Engineer, you’ll play a pivotal role in designing, building, and optimizing data pipelines and infrastructure for our financial services clients. You’ll work closely with consultants and client stakeholders to enable scalable, secure, and high-performance data solutions that power strategic decision-making, while thriving in a energetic, multi-project environment where initiative and ownership are key.

Requirements

About You





- 5+ years of professional experience in data engineering, with a strong focus on designing, developing, and optimizing 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 to ensure pipeline transparency.
- 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.

📌 Data Engineer (Toronto)
🏢 Synpulse
📍 Toronto