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.

The core technical base is Python, SQL, and Bash. Experience with Google Tag Manager, pixel/conversion setup, and JavaScript is required. Airbyte and Airflow are nice to have, but not mandatory.

Requirements

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

Everyday Tasks

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

Growth Areas

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.

Key Success Factors

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.

Location

Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.

Benefits

Discover the perks of being part of our vibrant team! We offer:

Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt

Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Interview 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)

Data Engineer (Marketing Systems)