Requirements: English
Company: Sigma Software
Region: Krakw , Lesser Poland Voivodeship
We are looking for a Senior Data Engineer to join our Data Center of Excellence, part of Sigma Softwares complex organizational structure, which combines collaboration with diverse clients, challenging projects, and continuous opportunities to enhance your expertise in a collaborative and innovative environment.
Our client is one of Europes fastest-growing FinTech innovators, revolutionizing how businesses manage their financial operations. They offer an all-in-one platform that covers everything from virtual cards and account management to wire transfers and spend tracking. As a licensed payment institution, the client seamlessly integrates core financial services into their product, enabling companies to streamline their financial workflows with speed and security.
PROJECT
You will join a dynamic team driving the evolution of a high-performance data platform that supports real-time financial operations and analytics. The project focuses on building scalable data infrastructure that will guarantee accuracy, reliability, and compliance across multiple financial products and services.
At least 5 years of experience in data engineering or software engineering with a strong focus on data infrastructure
Hands-on experience in AWS (or equivalent cloud platforms like GCP) and data analytics services
Strong proficiency in Python and SQL
Good understandingof database design, optimization, and maintenance (using DBT)
Strong experience with data modeling, ETL processes, and data warehousing
At least an Upper-Intermediate level of English
Collaborate with stakeholders to identify business requirements and translate them into technical specifications
Design, build, monitor, and maintain data pipelines in production, including complex pipelines (Airflow, Python, event-driven systems)
Develop and maintain ETL processes for ingesting and transforming data from various sources
Monitor and troubleshoot infrastructure issues, such as Kubernetes and Terraform, including data quality, ETL processes, and cost optimization
Collaborate closely with analytics engineers on CI and infrastructure management
Stay up to date with the latest developments in data technology and provide recommendations for improving our analytics capabilities