TL;DR

Senior Platform Engineer (Data Streaming): Building and scaling streaming infrastructure using Kafka, Apache Spark, Apache Flink, and Snowflake with an accent on reliability, security, and infrastructure as code. Focus on designing and maintaining scalable data pipelines and collaborating across teams to define best practices for a data platform.

Location: Work from the European Union region with a valid work permit and active VAT status in the EU VIES registry required

Company

%hirify_global% is a global tech company with roots in Poland and Eastern Europe, delivering cloud, data, and software solutions for clients across fintech, e-commerce, aviation, logistics, media, and fashion sectors.

What you will do

Build and scale streaming infrastructure using Kafka, Apache Spark, Apache Flink, and Snowflake
Ensure reliability and security of infrastructure with Kubernetes and Infrastructure as Code (Terraform)
Contribute to architecture and define best practices for the Data Platform
Collaborate with data producers and consumers to build efficient data pipelines

Requirements

Work from the European Union region with a valid work permit
Active VAT status in the EU VIES registry required
5+ years hands-on experience in Platform or Infrastructure Engineering, especially AWS environment
Proficiency in Python, Java, or Go
Strong experience with Terraform, Kubernetes, Kafka, and data processing engines like Apache Flink or Spark
Knowledge of Grafana, Prometheus, or Honeycomb
English proficiency minimum B2

Nice to have

Experience with distributed databases or data warehouses
Knowledge of ETL/data services like Airflow, DBT, Snowflake, or Databricks
Experience with Elasticsearch

Culture & Benefits

Development budgets up to €1,500 and funding for certifications (AWS, Azure, ISTQB, PSM)
Access to Udemy and O'Reilly learning platforms, events, and technology conferences
Technology Guilds, internal training, and %hirify_global% Upskill program
Flexible working hours and B2B contract for an indefinite period
Internal referral program and welcome gift

Hiring process

CV review
HR call
Technical interview
Client interview with live coding
Hiring manager interview
Final decision