Description:

Voodoo is a tech company founded in 2013 that creates mobile games and apps with a mission to entertain the world.
The company has 800 employees, 7 billion downloads, and over 200 million active users, making it the #3 mobile publisher worldwide in terms of downloads after Google and Meta.
The Engineering & Data team builds innovative tech products and platforms to support the growth of gaming and consumer apps.
The Ad-Network Team, consisting of around 30 members, includes software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists.
The team's goal is to enable Voodoo to monetize its inventory directly with advertising partners using advanced technological solutions for real-time bidding.
This Senior Data Engineer role can be performed fully remote in any EMEA country.
Responsibilities include designing, developing, and maintaining scalable and secure data platforms, building and managing data pipelines, and optimizing lakehouse solutions.
The role also involves leading the design and implementation of data infrastructure components, ensuring data quality and compliance, and automating infrastructure provisioning.
Collaboration with cross-functional teams and mentoring of data engineers are key aspects of the position.
The engineer will monitor performance issues and stay updated on trends in data engineering.

Requirements:

Candidates must have extensive experience in data engineering or platform engineering roles.
Strong programming skills in Python and Java are required.
A strong background with modern data stacks such as Spark, Kafka, DBT, Airflow, and Lakehouse is essential.
A deep understanding of distributed systems, data architecture, and performance tuning is necessary.
Experience with cloud platforms like AWS, GCP, or Azure and Infrastructure-as-Code tools such as Terraform or CloudFormation is required.
Solid experience operating data services in Kubernetes, including Helm and resource tuning, is needed.
A strong understanding of data modeling, governance, and security best practices is essential.
Knowledge of CI/CD principles and DevOps practices in a data environment is required.
Excellent problem-solving, communication, and leadership skills are necessary for this role.