Data Engineer

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

Responsibilities

Designing, developing, and implementing end to end ETL and ELT pipelines using ADF and Fabric; Creating and improving complex queries and data transformation operations in SQL Server, Pyspark and CosmosDB.; Exploring, developing and implementing new end-to-end data reporting solutions in Microsoft Fabric.; Supporting business functions to maximise the value of their data assets with reporting in Power BI.; Collaborating with stakeholders to design, develop and implement data extraction and reporting solutions (define requirements, refine, etc.) that best match their needs.

Requirements

You have sound judgement, keen eye for details and tenacity for solving difficult problems.; Strong analytical skills and use of data for sound decision-making.; You bring a positive energy to the team and thrive on strong collaboration.; You strive for constant improvement in both you and the team; You are someone others look to for solving difficult problems, bounce ideas off and providing an alternate viewpoint.; You actively keep informed of industry developments to make use of new and emerging tools and technologies; Degree in Computer Science, Engineering (or equivalent combination of skills and experience); 2-3 years working within a data engineering/business intelligence environment; Excellent SQL coding and experience with various development tools and platforms including; E - SQL Server technologies (T-SQL); E - Power BI; E - Data Factory (Fabric or Azure); P - Microsoft Fabric; P - Visual Studio (Reporting Services); Experience of relational database design and data models; Experience with various analytical data platforms and technologies; Previous experience with Power BI and other data visualisation techniques to interpret requirements and present as clear, compelling and actionable stories; Experience in custom or structured data integration design, implementation, and maintenance; DA-100/DP-600/DP-700 certified (preferred)

Benefits

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