Data Engineer

Who you are

• Strong Python, SQL, and Bash skills
• Experience with Google Tag Manager, pixels, conversion setup, and JavaScript
• Experience with Google Ads, Meta Ads, Bing Ads
• Engineering mindset and ability to work with production data systems
• Basic understanding of BigQuery, ClickHouse, dbt, and documentation practices
• Airbyte or similar ingestion tool experience is nice to have
• Basic Airflow familiarity is nice to have
• Strong problem-solving skills and attention to detail

What the job involves

• We are looking for a Data Engineer who can own and deliver across data engineering tasks, integrations, and marketing systems. This is not a junior learning role: we need someone who can quickly understand production systems, solve problems independently, and ship reliable work
• Support and improve integrations in Airbyte and Airflow
• Work with GTM, marketing data sources, tracking, pixels, and conversion workflows
• Help move and transform data across BigQuery, GCS, Pub/Sub, ClickHouse, and external systems
• Troubleshoot pipeline, tracking, payment, and data quality issues
• Support payment orchestration data flows, including subscriptions and payment processing
• Work with different systems in combination and document how data flows between them
• Collaborate cross-functionally with Data, Marketing, Product, Engineering, and Billing teams
• You will develop across GCP infrastructure and DataOps, dbt, BigQuery, ClickHouse, Git, CI/CD, and software engineering practices
• The role also includes exposure to internal monitoring platforms built with brokers, microservices, alerting, and observability tools, helping you grow system design skills through real production problems
• Proactivity: we need someone who notices issues, asks questions early, follows through, and takes ownership without waiting for detailed instructions
• High availability: on release days or during urgent tracking/payment setup, you should be ready to help in the evening when needed
• Delivery mindset: the goal is not only to learn, but to deliver reliable work across data engineering, marketing systems, payment flows, and internal platforms

The application process

• After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
• Recruiter Screening (40 minutes)
• Technical Interview (90 minutes)
• Final Interview (60 minutes)

Benefits

• Flexible, remote working environment
• Employee share options program
• In person company retreats and virtual gatherings
• Apple laptop and equipment for your needs
• Unlimited paid holidays
• Work with incredibly talented colleagues