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Senior Software Engineer - Hybrid

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Data publikacji: 02.09.2026

NielsenIQ is a global strategy and analytics company that provides tailored, data-driven solutions that drive sales, boost profitability. Leveraging our deep analytics expertise, NielsenIQ helps organizations improve their competitive position across all facets of planning and operations from assortment optimization, price optimization, promotional optimization, targeted marketing, and supplier collaboration.

As a Senior Software Engineer , you’ll be a part of a highly Agile and skilled team of other engineers who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data driven solutions, powered by technology, and people. This is a highly technical role that will allow you to be involved in the architecture of backend development using Java, Python, and/or Spark technologies.

Responsibilities

Develop solutions for industry leading analytics.; Work as part of a team to design, develop and deploy systems with multiple customizations.; Develop with system integration in mind, mainly in context of data flow into and from BI Reporting Tool.; Build scalable, reliable, cost-effective solutions for both the Cloud and on-premises; Continually develop technical expertise to ensure that customer solutions are efficient.; Consistently develop with performance in mind to optimize end user experience.; Work with architects and senior team members to identify new tools and technologies where applicable to expand customer offerings.; Research and take advantage of new technology to improve and expand solutions.; Participate in peer code reviews and troubleshoot and correct software defects.; Monitor performance and advise on any necessary infrastructure changes.

Requirements

6-8 years of hands-on software development; Skilled in Java, Python and/or Spark/Scala; Strong knowledge in Relational Databases - SQL, Postgres, Snowflake.; English language – proficient verbal and written communication; Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or other related disciplines.

Nice to have

Shell scripting; DevOps tools, CI/CD best practices; Knowledge on containers and elasticity (Docker, Kubernetes); Experience with cloud computing such as Azure or AWS.

Benefits

Flexible working environment; Volunteer time off; LinkedIn Learning; Employee-Assistance-Program (EAP)
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