Data Engineer

Hi! It's SplitMetrics, a remote-first team of experts building the future of mobile marketing. Top app developers turn to us for intelligent data-driven solutions designed for Apple Search Ads scale, A/B testing, and market insights.

Why SplitMetrics?

• For almost 9 years, we've been at the forefront of mobile marketing industry, providing an ecosystem of market-leading technologies.
• An Apple Search Ads Partner, SplitMetrics is the 1st company to build the Apple Search Ads management platform.
• Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more.
• Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem.
• Acquired App Radar in 2023 to extend our product capabilities and expand market share.
• Integrated AI into our strategic approach.
• Effectively collaborate across 20+ countries with a remote-first and supportive culture.
  
  

As a Data Engineer, you will be instrumental in refining our data operations to enhance efficiency and quality across various systems. Your primary responsibilities will include:

In this role you will:

• Lead Strategic Data Projects: develop innovative data solutions that process tens of terabytes from various sources.
• Build Data Pipelines: Build end-to-end large-scale batch and real-time data pipelines and scalable architectures and services to efficiently handle large amounts of data
• Work with state-of-the-art technology stack: utilize technologies/tools like Kafka/Kafka Connect, Flink, Airflow, Soda, Snowflake, BigQuery, AWS Analytics Ecosystem.
• Manage Company Data: Organize storage and transfer of data across diverse platforms, including PostgreSQL, S3, BigQuery, and Snowflake.
• Contribute to Data Quality: Design and implement a company-wide framework for data quality and data observability.
  
  

About you:

• 5+ years of experience working with & writing clean and efficient code in Python, SQL.
• Deep understanding of Databases and Data Warehouses fundamentals.
• Experience with cloud platforms (preferably AWS or GCP), and cloud DWH (preferably BigQuery or Snowflake).
• Experience with Apache Kafka.
• Experience with workflow orchestration tools (e.g. Apache Airflow).
  
  

It would be great you have:

• Hands-on experience with modern ELT tools (dbt/Fivetran).
• Hands-on experience with Kafka Connect or Debezium.
• Hands-on experience in MLOps.
  
  

What is there for you?

• Time Off: Vacation and public holidays following your country's regulations. Additional 6 PTOs annually for personal rejuvenation.
• Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being.
• Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development.
• Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program.
• Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback.
• Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment.
• Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment.
  
  

Our Culture

At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors:

• Move Fast
• Get Sh*t Done
• Build Together
• Strive for Transparency
• Own What You Do
• Learn + Share = Excel
  
  

Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Privacy Policy: Please take a moment and see our Applicant and Candidate Privacy Notice before applying. Please note that SplitMetrics may process your personal data as part of this application and further recruitment interaction for up to 365 days thereafter in accordance with the Notice. You can exercise your privacy rights as described in the Notice or by contacting us here.