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Senior Data Engineer
Join a senior data team building and evolving large-scale AWS data pipelines that power security products protecting home networks at massive scale.This is a full-time 6+ month assignment starting in September, with hybrid work: one day per week on-site in Keilaranta and otherwise remote. The team is looking for senior support to accelerate feature development, improve an evolving AWS-based data platform, and help tackle large-scale ETL and streaming challenges in a security-focused product environment.
In this role, you will:
You will thrive if:
In this role, you will:
- Design, develop, and operate high-volume batch and streaming data pipelines on AWS cloud-native infrastructure.
- Work hands-on with technologies such as Kafka, Spark, Lambda, S3, Python, SQL, and Terraform/Terragrunt to deliver new features and platform improvements.
- Help modernize data processing and warehousing capabilities by addressing scaling bottlenecks, ETL performance challenges, and architectural improvements.
- Collaborate closely with a small senior team to reduce backlog, improve reliability, and support the development and maintenance of data products.
- Contribute ideas that shape engineering practices, tooling, and platform evolution in an agile and supportive environment.
You will thrive if:
- You bring strong senior-level experience building data platforms on AWS, especially with distributed processing and large-scale data pipelines.
- You are comfortable working with streaming architectures and tools such as Kafka and Spark, and understand the realities of production-scale data systems.
- You have solid hands-on skills in Python, SQL, infrastructure as code, and CI/CD practices.
- You enjoy solving performance and scalability challenges, and can bring proven approaches rather than learning the fundamentals on the job.
- You value collaboration, communicate clearly in English, and like working in a team where good ideas are heard and acted on.
- Nice to have: Experience with utilizing AI in your own work
- Locations: Helsinki, Remote
- Technologies: Amazon Web Services (AWS), Continuous Integration / Continuous Deployment, Data Pipelines, ETL, Kafka, Python, SQL, Serverless, Spark, Terraform