Data Platform Engineer (AWS/GCP) — Cloud, MLOps & Observability

Sii Poland; Piła; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Centre of internal trainings

Open and accessible management team

Job summary

Sii Poland is seeking a Data Platform Engineer to build, maintain, and evolve our cloud data platform across AWS and GCP, enabling scalable, secure, and cost-efficient data solutions for the wider business in Poland.

You will collaborate with Data Engineers, Data Scientists and Data Analysts to deliver a platform that supports current and future data needs, focusing on data lakes, warehouses, security, and observability in a fintech context.

Qualifications

• At least 5 years in Data Engineering or Data Platform Engineering.
• Strong experience with AWS and GCP, BigQuery, and data lake/warehouse architectures.
• Proficiency in Python and modern data tools (Airflow, dbt).
• Knowledge of security, access management, and cost optimization in cloud environments.
• Fluent English and Polish; able to collaborate with diverse stakeholders.

Responsibilities

• Build and maintain Data Platform infrastructure across AWS and GCP, including data lakes and warehouses.
• Develop CI/CD driven deployment processes for reliability and scalability.
• Collaborate with Data Engineers, Scientists and Analysts to evolve the MLOps Platform.
• Manage IAM, storage, monitoring, and cost control across the data estate.
• Implement secure, compliant data infrastructure and governance standards.

Skills

AWS

GCP

BigQuery

Python

Airflow

dbt

Docker

Terraform

CI/CD

Data security

Polish language

English language

Tools

Athena

S3

Glue

CloudWatch

Grafana

Job description

Sii Poland is seeking a Data Platform Engineer to build, maintain, and evolve our cloud data platform across AWS and GCP, enabling scalable, secure, and cost-efficient data solutions for the wider business in Poland.

You will collaborate with Data Engineers, Data Scientists and Data Analysts to deliver a platform that supports current and future data needs, focusing on data lakes, warehouses, security, and observability in a fintech context.