Senior Data Engineer (Databricks Migration) at Sigma Software | Torre

Senior Data Engineer (Databricks Migration)

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Full-time

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Remote (for Poland residents)
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about 1 month ago

Responsibilities


Company DescriptionAre 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.CUSTOMEROur 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.PROJECTThe 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.Key Technologies: Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Airflow, GCP, CI/CD, Unity CatalogJob DescriptionParticipate in the migration of a large-scale analytical platform from BigQuery to DatabricksDesign and implement scalable Lakehouse architectures using Databricks and Delta LakeAnalyze existing ETL / ELT workloads and define migration approachesDevelop and optimize data pipelines processing large volumes of retail and analytical dataImplement incremental processing strategies and scalable transformation frameworksBuild and maintain Spark-based data processing solutions using PySparkDesign and maintain medallion architecture layers including Bronze, Silver, and GoldImplement data governance and security best practices using Unity CatalogCollaborate with Data Science, Analytics, Product, and Customer Engineering teamsParticipate in architecture discussions and technical solution designDevelop reusable data platform components and engineering standardsConduct code reviews and contribute to platform reliability and maintainabilityTroubleshoot and optimize complex SQL and Spark workloadsSupport production deployments and platform modernization activitiesQualifications5+ years of professional experience as a Data EngineerStrong programming skills in Python and advanced SQLHands-on commercial experience with DatabricksStrong knowledge of Apache Spark, primarily PySparkExperience designing and building modern cloud-based data platformsExperience developing ETL / ELT pipelines and large-scale data processing solutionsHands-on experience with Delta LakeExperience with Spark Declarative PipelinesExperience with cluster monitoring, metrics analysis, and performance optimizationStrong understanding of distributed data processing architecturesSolid understanding of data warehousing concepts and dimensional modelingExperience with Airflow or similar orchestration toolsExperience optimizing complex analytical SQL workloadsExperience implementing CI / CD practices for data engineering platformsStrong troubleshooting and performance optimization skillsAbility to work collaboratively in cross-functional international teamsUpper-Intermediate or higher English levelWILL BE A PLUSExperience working with GCP cloud servicesExperience with AWS or Azure cloud platformsExperience in retail analytics or pricing optimization domainsExperience supporting machine learning or AI-related data workloadsExperience with platform modernization and cloud migration initiativesAdditional InformationPERSONAL PROFILEStrong analytical and problem-solving mindsetProactive and ownership-driven approachAbility to work independently and collaborativelyGood communication and stakeholder collaboration skillsPassion for scalable data engineering and modern data platformsInterest in continuous learning and technology innovation