Experience implementing CI / CD practices for data engineering platforms
Strong troubleshooting and performance optimization skills
Ability to work collaboratively in cross-functional international teams
Upper-Intermediate or higher English level
WILL BE A PLUS
Experience working with GCP cloud services
Experience with AWS or Azure cloud platforms
Experience in retail analytics or pricing optimization domains
Experience supporting machine learning or AI-related data workloads
Experience with platform modernization and cloud migration initiatives
PERSONAL PROFILE
Strong analytical and problem-solving mindset
Proactive and ownership-driven approach
Ability to work independently and collaboratively
Good communication and stakeholder collaboration skills
Passion for scalable data engineering and modern data platforms
Interest in continuous learning and technology innovation
Are you a Senior Data Engineer passionate about building scalable, high-performance data platforms and working with modern Lakehouse technologies? Join Sigma Software ’s Data Engineering Center of Excellence and contribute to the modernization of an enterprise-scale analytics ecosystem for the retail domain.
We are looking for a Senior specialist with strong Databricks, PySpark, and cloud data engineering expertise to participate in the migration of a large-scale analytical platform from BigQuery to Databricks. You will collaborate with international teams, contribute to architectural decisions, and help shape reliable and scalable data solutions.
We at Sigma Software create opportunities for continuous learning, technology growth, and meaningful engineering impact while working on complex international projects.
CUSTOMER
Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and intelligent pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support data-informed pricing decisions at scale for global retail organizations.
PROJECT
The project focuses on the strategic migration of a large-scale analytical platform from a legacy BigQuery ecosystem to a modern Databricks Lakehouse architecture. The platform processes high-volume retail datasets, machine learning workloads, analytics pipelines, and customer-specific business logic.
As part of the modernization initiative, the engineering team is implementing scalable Spark-based processing, Delta Lake architecture, medallion data layers, and modern governance practices. The role offers an opportunity to work with distributed data processing systems, optimize large-scale workloads, and contribute to the evolution of an enterprise-grade data platform.