{"schemaVersion":"jobsearcher.job.v1","id":"25bed282ddb7ebb4c9936734","url":"https://jobsearcher.com/jobs/25bed282ddb7ebb4c9936734","canonicalUrl":"https://jobsearcher.com/jobs/25bed282ddb7ebb4c9936734","title":"Senior Data Engineer","description":"Project description\nThe primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.\n\nSolutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.\n\nCurrent overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.\nResponsibilities\nWe are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.\nSkills\nMust have\nReadiness to work until 8.00 pm CET (no need to do overtimes)\nOverall years of experience required 8+ (at least 1+ year in a Lead/Architect position)\nStrong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).\nStrong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.\nStrong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.\nExtensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.\nAbility to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.\nProficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)\nProficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.\nExperience integrating metadata and governance processes into cloud-based data platforms\nCertification in Azure, Databricks, or other relevant technologies is an added advantage\nExperience with cloud-based analytical databases.\nExperience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.\nExperience with Python and Python-based ETL tools.\nExperience with shell scripting in Bash, Unix or windows shell is preferable.\nDemonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.\nNice to have\nExperience with Elasticsearch\nFamiliarity with containerization and orchestration technologies (Docker, Kubernetes).\nTroubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.\nCollaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.\nAbility to plan, estimate and track progress of implementing features\nComputer Science and data science academic and education credentials\nOther\nLanguages\nEnglish: B2 Upper Intermediate\nSeniority\nLead\n\nQuincy, US, Massachusetts, United States of America\nReq. VR-110316\nDWH Development\nCross Industry Solutions\n08/07/2026\nReq. VR-110316","company":"Luxoft","rawCompany":"luxoft","city":"Quincy","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:29:41.465Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"Project description\nThe primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.\n\nSolutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.\n\nCurrent overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.\nResponsibilities\nWe are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.\nSkills\nMust have\nReadiness to work until 8.00 pm CET (no need to do overtimes)\nOverall years of experience required 8+ (at least 1+ year in a Lead/Architect position)\nStrong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).\nStrong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.\nStrong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.\nExtensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.\nAbility to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.\nProficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)\nProficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.\nExperience integrating metadata and governance processes into cloud-based data platforms\nCertification in Azure, Databricks, or other relevant technologies is an added advantage\nExperience with cloud-based analytical databases.\nExperience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.\nExperience with Python and Python-based ETL tools.\nExperience with shell scripting in Bash, Unix or windows shell is preferable.\nDemonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.\nNice to have\nExperience with Elasticsearch\nFamiliarity with containerization and orchestration technologies (Docker, Kubernetes).\nTroubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.\nCollaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.\nAbility to plan, estimate and track progress of implementing features\nComputer Science and data science academic and education credentials\nOther\nLanguages\nEnglish: B2 Upper Intermediate\nSeniority\nLead\n\nQuincy, US, Massachusetts, United States of America\nReq. VR-110316\nDWH Development\nCross Industry Solutions\n08/07/2026\nReq. VR-110316","datePosted":"2026-07-16T01:29:41.465Z","dateModified":"2026-07-16T01:29:41.465Z","hiringOrganization":{"@type":"Organization","name":"Luxoft","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Quincy","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"25bed282ddb7ebb4c9936734"},"url":"https://jobsearcher.com/jobs/25bed282ddb7ebb4c9936734"}}