Data Engineer

GfK

Job title:

Data Engineer

Company:

GfK

Job description

Country SpainJob Family TechnologyWe show the world what people want.Join GfK and help us shape tomorrow. As an NIQ company, we are the world’s leading consumer intelligence firm, delivering the Full View™ on consumer behavior. We work to enable manufacturers and retailers better understand what consumers really want. Our name has inspired trust for over 89 years because we take pride in discovering new pathways to sustainable growth for our clients, our people, and our planet.We are always looking for open-minded people who will grow with us, push boundaries, and pioneer disruptive methods in market research, data science, technology, and AI. If you share this passion to drive things forward and the integrity to insist on doing things the right way, we’ll equip you to take your future into your own hands and play a leading role in our story.Job DescriptionOverviewAs a Data team, we cover the three main specialties in the data field: Data Science, Data Analytics, and Data Engineering. While our current needs are well met in each field, we are looking to strengthen our Data Engineering capabilities by adding a skilled Data Engineer to our team. We seek a person who brings practical experience and enthusiasm to help drive our data initiatives forward.RequirementsWe are currently developing a robust data strategy inside Netquest. We are looking for a collaborative team player who enjoys working with others and interacting with various departments. This role involves understanding different stakeholders’ needs, sharing decisions with the team, and explaining data solutions clearly.Knowledge and Background

  • Experience in designing and implementing data pipelines
  • Ability to address problems with scale-up and scale-out approaches and combine them in data pipelines
  • Understanding of Data Architecture principles
  • Awareness of Data Governance practices
  • Consideration of economic aspects related to the operability of data pipelines
  • Maintenance of data integrity during reprocessing
  • Understanding how customer data deliveries (internal or external) are affected by software changes
  • Familiarity with data design patterns and best practices
  • Knowledge of data modeling, data schemas, and their evolution
  • Awareness of data transformation design patterns
  • Focus on data integrity in crafting data pipelines, including monitoring data health and state of intermediate data and alerting mechanisms
  • Designing Quality Control/Validation processes / Quality Gates

Technologies and Standards

  • Proficiency in Python and SQL
  • Familiarity with scheduling tools like Apache Airflow
  • Interest in Big Data solutions, such as Apache Spark
  • Understanding of Data Engineering techniques
  • Ability to maintain and extend processes and functionalities
  • Knowledge of application packaging and delivery mechanisms, including CD/CI best practices and security concerns
  • Ability to integrate partial solutions and RnD results into production-ready data pipelines
  • Experience in building and operating infrastructure (e.g., for testing purposes)
  • Ability to support operational questions for production environments
  • Understanding of cloud infrastructure and services for setting up and maintaining data pipelines (e.g., AWS)
  • Advising on data transformation workflow designs and optimizations focusing on cost, performance, and delivery mechanisms (streams/increments/etc.)

Key AccountabilitiesThe accountabilities of a data engineer include adhering to applicable standards and guidelines while solving complex problems. The data engineer is expected to work within their team scope and contribute to the harmonization and improvement of solutions across the organization.The data engineer is also accountable for sharing knowledge with other engineers during pair programming/pair work, when sought for advice, during code reviews, and by participating in Communities of Practice.The data engineer is responsible for bringing together technical assets from different disciplines within their cross-functional team and fostering a common solution approach among team members with diverse technical backgrounds.We are an ethical and honest company that is wholly committed to its clients and employees. We are proud to be an inclusive workplace for all and are committed to equal employment opportunity, focusing on all of our employees reaching their full potential.We respect and value every employee regardless of race, ethnicity, gender, sex, sexual orientation, age, personality, experience, culture, faith, socio-economic status, or physical or mental disabilities.We endorse the core principles and rights set forth in the United Nations Declaration of Human Rights and the Social Charter of Fundamental Rights of the European Union, promoting the universal values of human dignity, freedom, equality, and solidarity.Learn more about how we are driving diversity and inclusion in everything we do on:At GfK we work collaboratively with our colleagues but offer a flexible working approach, including dividing our time between office & remote working as well as the opportunity to flex our working hours around team core hours.We offer an exciting work environment that brings people together. We encourage an entrepreneurial and innovative spirit and make use of the latest digital technologies. We are looking for self-starters, who accept challenges and create solutions.Can there be a better place to take center stage in the digital revolution? We are excited to get to know you!

Expected salary

Location

Barcelona

Job date

Tue, 23 Jul 2024 22:53:12 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.

To apply for this job please visit jobviewtrack.com.

Job Location