Data Platform Engineer - fintech sector (f/m/x)
Join Sii and work with one of Europe's leading fintech scale-ups.
We are looking for a Data Platform Engineer to help shape the future of the data ecosystem. In this role, you will build, maintain, and enhance our cloud-based data platform across AWS and GCP, enabling scalable, secure, and cost-efficient data solutions for the wider business.
You will work at the intersection of engineering, infrastructure, and data, partnering closely with Data Engineers, Data Scientists, Data Analysts, and other stakeholders to deliver a platform that supports current and future data needs. This role is ideal for someone who enjoys designing data platforms, evaluating technical trade-offs, and building reliable infrastructure that empowers teams across the organization.
Your tasks
Build and maintain the Data Platform infrastructure across AWS and GCP, including data lakes, data warehouses, orchestration, and observability components
Enhance the platform by introducing new features and services, improving monitoring and observability, and automating common operational tasks
Develop and maintain CI/CD-driven deployment processes to improve platform reliability, scalability, and developer experience
Collaborate closely with Data Engineers, Data Scientists, and Data Analysts to support and evolve the MLOps Platform
Manage and optimize the data estate, including IAM and access policies, storage management, platform monitoring, and cost control
Design and implement secure, compliant, and user-friendly data infrastructure solutions
Continuously improve platform performance, reliability, security, and operational efficiency across cloud environments
Work with stakeholders across and beyond the data organization to understand requirements and deliver platform capabilities that meet their needs
Contribute to and uphold strong engineering practices, including code reviews, CI/CD, infrastructure-as-code, and established data governance standards
Requirements
At least 5 years of experience in Data Engineering and/or Data Platform Engineering
Strong infrastructure and platform engineering experience, including modern DevOps practices, cloud technologies, AWS and GCP, Docker, and Terraform
Expertise with BigQuery, including security, performance optimization, and cost management
Experience working with AWS data lake architectures (Athena, S3, Glue), including query optimization, security, and cost-efficient design
Proficiency in Python and modern data technologies such as Airflow and dbt
Solid understanding of data security, platform security, and access management
Experience implementing and maintaining observability and monitoring solutions, such as Grafana and CloudWatch
Strong analytical and problem-solving skills, with the ability to evaluate technical options and make informed trade-offs
Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders
Comfortable working in environments with high engineering standards, including CI/CD, code reviews, pull requests, and established governance practices
Fluent English (both written and spoken)
Residing in Poland required
Fluent Polish required
Nice-to-have requirements
Experience designing or building MLOps platforms and supporting machine learning workflows in production environments