Senior Data Engineer (FinTech Project)

We are looking for a Senior Data Engineer to join our Data Center of Excellence, part of Sigma Software’s complex organizational structure, which combines collaboration with diverse clients, challenging projects, and continuous opportunities to enhance your expertise in a collaborative and innovative environment.

CUSTOMER

Our client is one of Europe’s 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.

REQUIREMENTS

• 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 understanding of database design, optimization, and maintenance (using DBT)
• Strong experience with data modeling, ETL processes, and data warehousing
• Familiarity with Terraform and Kubernetes
• Expertise in developing and managing large-scale data flows efficiently
• Experience with job orchestrators or scheduling tools like Airflow
• At least an Upper-Intermediate level of English

Would be a plus:

• Experience managing RBAC on data warehouse
• Experience maintaining security on data warehouse (IPs whitelist, masking, sharing data between accounts/clusters, etc.)

RESPONSIBILITIES

• 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
• Drive the establishment and maintenance of the highest coding standards and practices, ensuring the development of efficient, scalable, and reliable data pipelines and systems
• Participate in data governance initiatives to ensure data accuracy and integrity
• Actively participate in the data team’s routines and enhancement plans
• Stay up to date with the latest developments in data technology and provide recommendations for improving our analytics capabilities