Senior Data Engineer

FreshBooks

Waterloo, Ontario, Canada

Waterloo, Ontario, Canada

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Über

As a Senior Data Engineer (Platform) at Freshbooks, you will help shape the future of FreshBooks' data engineering infrastructure and processes within the R&D organization. You will design and build scalable, reliable data pipelines and platforms on modern cloud infrastructure to power analytics, operations, and machine learning use cases. You will partner closely with Product, Data Analytics, Machine Learning, Platform, Infrastructure, and Security teams to deliver high-quality data solutions across the full data lifecycle. You will contribute to engineering standards, reliability practices, and incident response while mentoring other engineers. This role is ideal for someone who enjoys solving complex data challenges and raising the bar for engineering excellence.
NOTE: This role can be worked remotely from the above location.
What You'll Do

Design, build, and operate batch and streaming data pipelines on GCP using Airflow (Cloud Composer), dbt, Datastream, Fivetran, Pub/Sub, Dataflow, BigQuery, and Cloud Functions

Build event-driven and near real-time ingestion and transformation workflows to support analytics, operations, and ML workloads

Develop and operate ML data and serving infrastructure using Vertex AI, Kubeflow, Cloud Run, and Cloud Composer for batch and real-time predictions

Implement CI/CD pipelines and infrastructure as code using tools such as GitHub Actions, Azure Pipelines, Terraform, and Terraspace

Drive observability, monitoring, alerting, security, and access controls using OpenTelemetry and cloud-native services

Partner with Product, Data Analytics, Machine Learning, Engineering, Platform, Infrastructure, and Security teams to design scalable, secure, and cost-efficient data systems

Lead design and code reviews, contribute to engineering standards, incident management practices, and mentor junior and mid-level engineers

What You'll Bring

5+ years of experience designing, building, and operating data pipelines and data platforms

Strong experience with batch and near real-time data processing and streaming architectures

Hands-on expertise with Google Cloud Platform or another major cloud provider (AWS or Azure) and cloud data warehouses (BigQuery, Snowflake, Redshift)

Expert SQL skills and strong programming experience in Python or similar languages

Experience with orchestration tools (Airflow or equivalent), CDC technologies, and event-driven systems

Experience with DevOps and IaC tooling (Docker, Kubernetes, Terraform, Jenkins, Git, CI/CD pipelines)

Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders

You'll Stand Out If You Have

Strong foundations in networking, cloud security, and access management (VPCs, IAM, ZTNA, DMZ)

A track record of staying current with modern data engineering platforms and best practices

Experience in SaaS or fintech environments

Waterloo, Ontario, Canada

Sprachkenntnisse

English

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