Data Engineer

NielsenIQ (NIQ) is a leader in data-driven solutions, partnering with the world’s largest brands to deliver insights that drive strategic decisions. With a global presence and deep expertise in analytics and technology, we ensure that companies stay ahead in a constantly changing marketplace. Our mission extends beyond understanding consumer behaviour; it also includes refining and optimizing our internal systems that support the NIQ company operations worldwide.

Responsibilities

The ability to understand at least one data pipeline from a functional and technical perspective end to end, including an in-depth understanding of the data flows involved.; Develop, test and deploy (big) data applications.; Ensure that all development work in data pipelines follows best practices for ensuring validity, efficiency and maintainability.; Collaborate in a distributed, cross-functional agile team to reach shared goals.; Take ownership of technical implementations and architecture together with your team and in alignment with communities of practices.; Communicate with data producers to align on data exchange formats and interfaces.; Communicate with data consumers and other stakeholders in order to help them fulfill their needs to drive the business.; Provide suggestions to business in the Media Measurement context on how existing and new data sources can be utilized to enhance our existing product portfolio.; Recommend different ways to constantly improve data reliability and quality.; Ability to document requirements and implemented solutions.; Feeling comfortable as team member of a support team and finding solutions that fulfill our customers' requirements.; Strong troubleshooting and problem-solving skills.; Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business.

Requirements

3+ years of working experience as a Data Engineer.; You have a bachelor's degree in computer science, software/computer engineering, or applied mathematics.; You are curious about finding new and unusual ways of how to solve data management issues.; You already have experience with AWS services.; You know how to design data structures and manage data access.; You know how to monitor data quality.; You have solid hands-on experience with Python.; You are comfortable writing SQL queries to wrangle data from relational databases and Athena.; Intermediate level of Database (SQL) skills to develop SQL queries, function and stored procedures.; You have the ability to read code written by others and understand what the code does.; You know how to orchestrate data pipelines with Airflow or any other similar data scheduling and orchestration tool.; You have experience with CI/CD and ideally also with IaC using Terraform.; You are following best practices in software engineering, like pair programming, testing, clean code and agile software development frameworks.; You are able to give and take open, constructive feedback.

Benefits

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