Senior Data Engineer

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 Senior Data Engineer to join our BidMachine team in Europe (Remote).

The ideal candidate will be responsible for building, maintaining, and optimizing our data infrastructure, ensuring seamless data flow and accessibility for ML, analytical and business needs.

Key Traits

• Ability to write approachable, performant code with comprehensive tests and thorough documentation.
• High autonomy and proactivity around driving work to completion in the face of ambiguity
• A desire to work with individuals with diverse backgrounds, perspectives, and experiences
• A desire to share your expertise through documentation
• Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, and being on-call to support the health of our services
• Comfort being vulnerable when you don’t know the answer, and knowing how to ask for help.
• Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions
  
  

Key Responsibilities:

• Oversee the in-house ML data platform, managing tasks such as collecting, storing, and transforming data to support machine learning models.
• Design, develop, test, and orchestrate data workflows to streamline pipelines.
• Establish and promote best practices for data handling and processing within the ML context.
• Contribute to the development of internal tools for automating data processes and business workflows, enhancing efficiency and scalability.
• Collaborate closely with product, MLOps and data science teams to ensure an optimal data experience for all ML practitioners and data consumers.

Requirements:

• 7+ years of professional work experience in data engineering.
• Profound Experience with streaming technologies (Kafka, Spark).
• Strong expertise in Python 3 and common data frameworks (Pandas, PySpark, Fastapi).
• Experience with modern data storage solutions: AWS S3, data lakes, and data warehouses.
• Experience with data orchestration tools (Dagster, Airflow).
• Basic knowledge of machine learning and data analytics.
• Basic knowledge of data visualization and BI tools.

Nice to have:

• Experience with Databricks platform
• Experience with Druid or other OLAP systems
• Experience 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!