Senior Data Platform Engineer

TekRek; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

TekRek is seeking a seasoned data engineer in Toronto, Ontario to enhance their cutting-edge data platform supporting a modern telematics API. In this role, you will own projects that enhance data replication and storage while designing scalable solutions for vast IoT data.

We're looking for candidates with extensive experience in data pipeline optimization, proficient in Java and passionate about clean, maintainable code. Collaborate across teams to drive architectural direction and implement robust solutions addressing high-volume data challenges.

Qualifications

• 8+ years of experience in platform engineering or data engineering.
• 6+ years designing and optimizing data pipelines at TB to PB scale.
• Proficiency in Java focusing on clean, maintainable code.

Responsibilities

• Own projects enhancing data replication, storage, enrichment, and reporting capabilities.
• Build and optimize streaming and batch pipelines that support core product.
• Design scalable storage solutions for petabytes of data.

Skills

Java

Python

System design

Data pipeline optimization

Streaming ecosystems (Iceberg, Kafka, Flink, Spark)

Tools

Spring Boot

AWS Kinesis

AWS Glue

SQS

Lambda

Job description

TekRek is partnered with a high-growth product company building the data platform behind a modern telematics API, supporting real-time ingestion, storage, enrichment, and analytics for high-volume IoT and time-series workloads at petabyte scale.

The Role

This is not a traditional data engineering seat; you will own the long-term buildout of the data platform powering the API and analytics layer, drive architectural direction, and partner with product, engineering, and leadership to deliver scalable abstractions and reusable components.

What You’ll Do

• Own projects enhancing data replication, storage, enrichment, and reporting capabilities
• Build and optimize streaming and batch pipelines that support the core product and API
• Design scalable storage solutions for petabytes of IoT and time-series data
• Develop and maintain real-time ingestion systems to support growing data volumes
• Implement distributed tracing, data lineage, and observability to improve monitoring and troubleshooting

What You Bring (Must Have)

• 8 plus years of experience in platform engineering or data engineering
• 6 plus years designing and optimizing data pipelines at TB to PB scale
• Strong Java proficiency with a focus on clean, maintainable production code
• Strong system design skills for big data and real-time workflows
• Experience with lakehouse and streaming ecosystems such as Iceberg or Delta, plus Kafka or Flink or Spark
• Languages: Java, Python
• Framework: Spring Boot
• Streaming: AWS Kinesis, Kafka, Flink
• ETL: AWS Glue, Spark
• Serverless: SQS, EventBridge, Lambda, Step Functions