Data Engineer

hace 3 semanas


Madrid, España Nielseniq A tiempo completo

Company Description 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.
Founded in Barcelona in 2001, Netquest is the data collection provider of choice for the Market Research Industry. A tech-driven company built on a robust and engaged panel and a strict quality standard (ISO 20252). We make possible a truly 360 degrees view of today's consumers collecting behavioral and declarative data from a single source, our panelists, in 23 countries across the globe. Leveraging our data, savvy researchers better define winning strategies based on an in-deep understanding of consumers' preferences and behaviors.
Job Description As a Data team, we have to cover the three main specialties in the data field: Data Science, Data Analytics, and Data Engineering. Today we have covered all the current needs in each field, but we are looking for a boost in the Data Engineering part, looking to the future, by adding a person who provides us experience and knowledge about doing things in the right direction.
Technologies and standards
Proficiency in Python and SQL
Awareness of scheduling tools, like Apache Airflow
Interest in Big Data solutions, like Apache Spark
In-depth understanding of Data Engineering techniques
Ability to maintain and extend processes and functionalities
Deep understanding of application packaging and delivery mechanisms, including CD/CI best practices and security concerns
The ability to integrate partial solutions and R&D results into production-ready data pipelines
The ability to build and operate infrastructure (e.g., for testing purposes)
The ability to support operational questions for environments in production
Understanding of cloud infrastructure and services available for setting up and maintaining data pipelines (e.g., AWS)
Ability to advise on data transformation workflow designs and optimizations with the dimensions of cost, performance, and delivery mechanisms (streams/increments/etc.)
Qualifications The ability to design and implement an entire data pipeline from scratch
The ability to decide which problems to solve with scale-up and which ones to tackle with scale-out approaches and how to combine them in data pipelines
Knowledge about Data Architecture
Awareness of Data Governance
An economic view on questions of operability of crafted data pipelines
Maintenance of data integrity in cases of reprocessing
Understanding of whether or how (internal or external) customer data deliveries are affected by changes to the software
Awareness of data design patterns in the organization and best practices in general
Deep understanding of data modeling, data schemas, and evolution thereof
Awareness of best practices of data transformation design patterns
An advanced focus on data integrity when crafting data pipelines, by building in means to monitor data health and state of intermediate data and alerting mechanisms
Designing Quality Control/Validation processes / Quality Gates
Additional Information The accountabilities of a senior data engineer include the accountabilities of a data engineer, but increased norms apply, meaning a senior data engineer is expected to be able to accomplish their tasks in less time, to a higher standard (total understanding and excellent adherence to applicable standards and guidelines) and be able to solve more complex problems.
The senior data engineer is expected to look beyond their primary team scope and strive for harmonization and improvement of solutions across the CSG or even beyond.
The senior data engineer is also accountable to pro-actively pass on their knowledge to other engineers when the opportunity arises during the course of their work:
During pair programming/pair work
When sought for advice
During code reviews
By participating in Communities of Practice
The senior data engineer is accountable for bringing together technical assets from different disciplines within their cross-functional team and for fostering a common solution approach between team members with different technical backgrounds.
Our Benefits
Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

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