Senior Data Engineer

Luxoft; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Luxoft seeks an experienced Senior Data Engineer to onboard, integrate, and operationalize datasets for Middle Office functions. You will build scalable, production-grade data pipelines on AWS (EMR, Glue, Athena, S3) using Spark/PySpark, and own the full lifecycle from design to deployment and support.

Responsibilities include data onboarding, pipeline development, orchestration with Airflow, data modeling, and IaC with Terraform.

Qualifications

• Strong hands-on experience building and operating AWS-based data platforms and pipelines.
• Advanced expertise with Apache Spark, PySpark, distributed data processing, and performance optimization.
• Experience with modern data lake technologies, particularly Apache Hudi and Apache Iceberg.
• Strong Python programming and software engineering practices, including testing, code quality, and Git-based development workflows.
• Hands-on experience with Apache Airflow or comparable workflow orchestration platforms.
• Experience with Terraform, CI/CD pipelines, and infrastructure automation.
• Ability to independently translate business requirements into production-ready data solutions.

Responsibilities

• Data Onboarding & Integration: onboard new datasets and design scalable ingestion and transformation pipelines.
• Data Engineering: develop and maintain production-grade pipelines using AWS services (EMR, Glue, Athena, S3) with Spark/PySpark.
• Workflow Automation: build orchestration workflows using Airflow or equivalent, including scheduling and monitoring.
• Data Architecture & Modeling: design scalable data models, partitioning strategies, and data quality controls.
• DevOps & Operational Excellence: implement CI/CD pipelines and IaC using Terraform and GitHub Actions.
• Production Support: troubleshoot data quality, performance, and operational issues to improve reliability.

Skills

AWS data pipelines

Spark / PySpark

Python programming

Airflow

CI/CD

Terraform

Data modeling

Data quality

Production deployments

Tools

AWS

EMR

Glue

Athena

S3

Apache Hudi

Iceberg

Airflow

GitHub Actions

Job description

We are looking for an experienced Senior Data Engineer to support the onboarding, integration, and operationalization of datasets used by Middle Office functions.

The role focuses on building scalable, production-grade data pipelines and data products on AWS, enabling reliable data delivery for analytics, reporting, and downstream applications. The successful candidate will own the full lifecycle from source analysis and solution design through implementation, deployment, and operational support.

The role is for subcontractors.

Responsibilities

• Data Onboarding & Integration: Analyze source systems, onboard new datasets, and design scalable ingestion and transformation pipelines to support Middle Office business needs.
• Data Engineering: Develop and maintain production-grade pipelines using AWS services including EMR, Glue, Athena, and S3, leveraging Spark/PySpark and modern data lake technologies.
• Workflow Automation: Build and manage orchestration workflows using Airflow or equivalent platforms, including scheduling, monitoring, alerting, and recovery processes.
• Data Architecture & Modeling: Design scalable data models, schema structures, partitioning strategies, and data quality controls to ensure reliable and efficient data consumption.
• DevOps & Operational Excellence: Implement CI/CD pipelines and infrastructure-as-code practices using Terraform and GitHub Actions, ensuring maintainable and supportable solutions.
• Production Support: Troubleshoot data quality, performance, and operational issues while driving long-term reliability improvements.

Skills

Must have

• Strong hands-on experience building and operating AWS-based data platforms and data pipelines.
• Advanced expertise with Apache Spark, PySpark, distributed data processing, and performance optimization.
• Experience with modern data lake technologies, particularly Apache Hudi and Apache Iceberg.
• Strong Python programming and software engineering practices, including testing, code quality, and Git-based development workflows.
• Hands-on experience with Apache Airflow or comparable workflow orchestration platforms.
• Experience with Terraform, CI/CD pipelines, and infrastructure automation.
• Ability to independently translate business requirements into production-ready data solutions.

Nice to have

• We are particularly interested in candidates who have experience building data platforms within financial services, asset management, capital markets, or investment management environments. Experience supporting Middle Office, investment operations, risk, or trading-related datasets is highly desirable. Knowledge of data governance, lineage, security, and large-scale production support is also a strong advantage.