The Senior Data Engineer will develop real-time data pipelines, own services for analytics and detection, and build end-to-end solutions while ensuring high system availability.
We’re looking for a Senior Data Engineer to join our Data Platform team — someone who thrives on solving complex problems at scale, enjoys working across technologies, and is passionate about real-time data pipelines, distributed systems, and performance optimization.
Responsibilities:- Develop and own real-time streaming and batch data pipelines that process billions of records per day.
- Own services and infrastructure for request enrichment, data exports, campaign analytics, fraud detection, and more - some handling hundreds of thousands of requests per second with strict low-latency SLAs.
- Build end-to-end solutions - from design to deployment and monitoring.
- Work with technologies like Flink, Spark, Kafka, Protobuf, Kubernetes, Argo WF, Jenkins, Github, writing in Golang, Java/Scala and Python.
- Development of monitoring and alerting over critical Big Data pipelines
- Comfortable using modern AI-assisted development tools (e.g., GitHub Copilot, Cursor) to enhance coding, testing, and debugging.
- Participate in a shared on-call rotation to support production systems and ensure high availability.
- 4+ years of experience in backend or data engineering.
- Knowledge in the programmatic advertising landscape – DSPs, SSPs, exchanges – significant advantage.
- Proficiency in Golang.
- Strong experience with Java and/or Scala.
- Experience with Python & SQL.
- Hands-on experience with streaming platforms (e.g. Flink, Spark , Kafka).
- Production experience with Kubernetes and containerized services.
- Solid knowledge of cloud infrastructure (AWS / GCP / OCI).
- Familiarity with CI/CD, observability (Prometheus/Grafana), and distributed systems.
- Versatile and able to context-switch effectively across projects and technologies.
- Self-learner, responsible, independent and strong team player.
- Excellent communication skills.
- Polish public holidays.
- 20 working days per year is Non-Operational Allowance and settled to be used for personal recreation matters and are compensated in full. These days have to be used within the year, with no rollover to the next calendar year.
- Health Insurance.
- Gym Subscription (Multisport).
Top Skills
Argo Wf
AWS
Flink
GCP
Git
Go
Grafana
Java
Jenkins
Kafka
Kubernetes
Oci
Prometheus
Protobuf
Python
Scala
Spark
SQL
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Develop and maintain data pipelines using Python and SQL, build integrations, manage data storage solutions, and ensure data quality.
Top Skills:
Azure Devops ServicesDockerGitLinuxPostgresPythonSQL
Payments
Design and build high-performance data pipelines, optimize data ecosystem, and lead ETL workflows using AWS technologies and modern data tools.
Top Skills:
AirflowAws DmsAws RedshiftDagsterDbtEmrGlueJavaLambdaPrefectPythonS3ScalaSQL
Artificial Intelligence • Information Technology • Consulting
The Senior Data Engineer will build scalable APIs, design and maintain ETL/ELT pipelines, and collaborate with ML Engineers to create robust data solutions.
Top Skills:
AirflowApache DruidAWSAws CloudformationDagsterDbtKafkaPythonSparkSQLTerraform
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
