Data Engineer Lead

Appodeal is a dynamic US-based product company with a truly global presence.

We have offices in Warsaw, Barcelona and Virginia along with remote team members located around the world.

Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.

Why Appodeal?

At Appodeal, we’re more than just a company—we’re a team united by a common mission: to help every person discover and grow their talents!

We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.

Here’s what we value, and what we hope you do too:

• Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
• Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
• Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
• Enjoying the Journey: We believe in having fun while working toward our goals.

We are seeking an experienced Lead Data Engineer to drive the development and optimization of our data infrastructure within the Vector team. As a key technical leader, you will play a pivotal role in enabling seamless data operations to support machine learning, analytics, and business needs. This is an exciting opportunity to shape the data engineering landscape and collaborate with cross-functional teams to achieve impactful outcomes.

Key Responsibilities

• Lead the management and evolution of our in-house ML data platform, overseeing tasks such as data collection, storage, transformation, and accessibility to empower machine learning models and analytics.
• Architect, design, and optimize scalable data workflows, ensuring the seamless orchestration of pipelines.
• Establish and uphold best practices for data handling, storage, and processing within the ML and analytics ecosystem.
• Drive the development of internal tools to automate and enhance data processes, fostering efficiency and scalability across business workflows.
• Collaborate with product, MLOps, and data science teams to deliver an exceptional data experience for all ML practitioners and data consumers.
• Mentor and guide a team of data engineers, fostering professional growth and knowledge-sharing.

Requirements

• 5+ years of professional experience in data engineering, with at least 2 years in a lead or senior role.
• Expertise in Python 3 and data frameworks (Pandas, PySpark).
• Hands-on experience with modern data storage solutions: AWS S3, data lakes, and data warehouses.
• Proficiency in data orchestration tools (Dagster, Airflow).
• Experience with streaming technologies (Kafka, Spark).
• Solid understanding of machine learning and data analytics principles.
• Basic knowledge of data visualization and BI tools.

Nice to Have

• Experience with Databricks.
• Familiarity with Druid or other OLAP systems.
• Background in building ML data platforms.

With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.

Join us and help shape the future of mobile app success!