Data Engineer

Here’s a summary of the role

The Data Enablement Team is responsible for building and maintaining the foundational data infrastructure that powers decision-making across the company. We focus on the ingestion, transformation, and modeling of data. Our goal is to ensure that our data is clean, reliable, and accessible through our centralized data warehouse.

By delivering well-structured and trusted datasets, we enable downstream teams such as product, finance, and marketing to own their analytics and reporting independently. We use modern tools like Snowflake, dbt, and Python to ensure our data platform is scalable, efficient, and aligned with business needs.

Those in the Data Engineer role are expected to be experienced software engineers with a specialization in data centric programming and tools. The Data Engineer should be comfortable working with a wide variety of data systems, and be able to transform raw datasets into something useful for analysts and data scientists.

A successful member of the data engineering team should stay up to date and knowledgeable about the industry’s newest tools and best practices.

Why join YouGov?

Join our global team to help us achieve our social mission: to make millions of people’s opinions heard for the benefit of our local, national, and international communities.

Understanding diversity of opinion requires diversity of background. Although our global panel of millions of people worldwide powers our research, our biggest asset is our people. If our research is to be truly representative of what the world thinks, we need people from all walks of life to be part of the team to bring their perspective to the work we do.

Life at YouGov

We are driven by a set of shared values. We are fast, fearless, and innovative. We work diligently to get it right. We are guided by accuracy, ethics, and proven methodologies. We respect and trust each other, bringing these values into everything that we do.

We strive to provide YouGovers with best-in-class benefits to support their physical, financial, and emotional wellbeing. We want our employees to have a sense of belonging and uniqueness in a supportive workplace, so they can bring their full selves to work.

Responsibilities

Design, develop, and maintain robust, scalable data pipelines using Python and Airflow.; Collaborate with Analytics Engineers and other team members to deliver clean, well-modeled data to downstream users.; Implement monitoring, logging, and alerting to ensure data pipeline reliability and performance.; Ensure data quality and integrity through validation frameworks and testing.; Optimize performance and cost-efficiency of cloud-based data systems.; Contribute to architectural decisions around data storage, workflow orchestration, and infrastructure as code.; Document data pipelines and processes

Requirements

Bachelor’s degree in computer science or related field; Proven years of experience in a Data Engineering or Software Engineering role; Very good knowledge of Python and experience with SQL; Experience with Kubernetes and containerization; Experience with Airflow or similar process orchestration tool; Familiarity with modern data file formats (Parquet, ORC, JSON); Experience with data architecture, modelling, and pipelines in an enterprise data warehouse (Snowflake, Redshift, BigQuery); Experience with AWS products (S3, Lambda, Athena); Ability to work both independently and in a team-oriented environment; Strong analytical skills with a critical thinking attitude.; Engage in a highly collaborative environment, working closely with data analysts and other team members.; Experience firsthand the impact of your contributions on the overall success of the team and organization.; Demonstrable experience as a software or data engineer, demonstrating a good understanding of data architecture and engineering principles.; You have great communication skills both written and verbal.; You embrace the YouGov values

Nice to have

Experience with a data transformation tool such as DBT; Experience with NoSQL and Graph Database technologies; Familiarity with data reporting software (Power BI, Tableau, Apache Superset); Experience with R