Senior Data Engineer - Platform

Voodoo; Paris; À distance; EUR 50 000 - 90 000; Plein temps

Résumé du poste

An innovative tech company is seeking a Mid-Senior Data Engineer to join their dynamic Data team. This role involves designing and maintaining high-performance data platforms, building data pipelines, and ensuring data quality and compliance. You will collaborate with talented engineers and data scientists to develop scalable solutions that drive the company's success in the mobile gaming industry. With a focus on cutting-edge technologies and a commitment to excellence, this position offers an exciting opportunity to make a significant impact in a fast-paced environment. If you are passionate about data engineering and thrive in a collaborative setting, this role is perfect for you.

Prestations

Best-in-class compensation

Other benefits according to the country of residence

Qualifications

• Extensive experience in data engineering or platform engineering roles.
• Strong programming skills in Python and Java.
• Experience with cloud platforms and Infrastructure-as-Code tools.

Responsabilités

• Design and maintain scalable, secure, and high-performance data platforms.
• Build and manage data pipelines using tools like Apache Airflow and DBT.
• Collaborate with data scientists and product engineers to deliver scalable solutions.

Connaissances

Python

Java

Data Engineering

Problem-solving

Communication

Leadership

Formation

Bachelor's degree in Computer Science or related field

Outils

Apache Airflow

DBT

SQLMesh

Terraform

CircleCI

Kubernetes

Spark

Kafka

Description du poste

Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.

Team

The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry.

Within the Data team, you’ll join the Ad-Network Team which is an autonomous squad of around 30 people. The team is composed of top-tier software engineers, infrastructure engineers, data engineers, mobile engineers, and data scientists (among which 3 Kaggle Masters). The goal of this team is to provide a way for Voodoo to monetize our inventory directly with advertising partners, and relies on advanced technological solutions to optimize advertising in a real-time bidding environment. It is a strategic topic with significant impact on the business.

This role can be done fully remote in any EMEA country.

Role

• Design, develop, and maintain scalable, secure, and high-performance data platforms.
• Build and manage data pipelines (ETL/ELT) using tools such as Apache Airflow, DBT, SQLMesh or similar.
• Architect and optimize lakehouse solutions (e.g., Iceberg).
• Lead the design and implementation of data infrastructure components (streaming, batch processing, orchestration, lineage, observability).
• Ensure data quality, governance, and compliance (GDPR, HIPAA, etc.) across all data processes.
• Automate infrastructure provisioning and CI/CD pipelines for data platform components using tools like Terraform, CircleCI, or similar.
• Collaborate cross-functionally with data scientists, analytics teams, and product engineers to understand data needs and deliver scalable solutions.
• Mentor experienced data engineers and set best practices for code quality, testing, and platform reliability.
• Monitor and troubleshoot performance issues in real-time data flows and long-running batch jobs.
• Stay ahead of trends in data engineering, proactively recommending new technologies and approaches to keep our stack modern and efficient.

Profile (Must have)

• Extensive experience in data engineering or platform engineering roles.
• Strong programming skills in Python and Java.
• Strong experience with modern data stacks (e.g., Spark, Kafka, DBT, Airflow, Lakehouse).
• Deep understanding of distributed systems, data architecture, and performance tuning.
• Experience with cloud platforms (AWS, GCP, or Azure) and Infrastructure-as-Code tools (Terraform, CloudFormation, etc.).
• Solid experience operating data services in Kubernetes, including Helm, resource tuning, and service discovery.
• Strong understanding of data modeling, data governance, and security best practices.
• Knowledge of CI/CD principles and DevOps practices in a data environment.
• Excellent problem-solving, communication, and leadership skills.

Nice to Have

• Experience with real-time data streaming and event-driven architectures.
• Familiarity with ML model deployment and MLOps practices.
• Exposure to data cataloging, lineage tools and observability platforms.
• Contributions to open-source data tools or platforms.

Benefits

• Best-in-class compensation
• Other benefits according to the country you reside in

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Entertainment Providers, Advertising Services, and Book and Periodical Publishing