ruby-labs - Data Engineer
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Requirements
• Production experience with ClickHouse is mandatory: data modeling (MergeTree family, projections, materialized views), query tuning, partitioning/sharding, and operational awareness. • Strong experience designing event-driven, real-time analytics pipelines (Kafka / Pub/Sub / Kinesis or equivalent), including schema design, backfills, and replay. • Hands-on with Google Cloud data stack (Pub/Sub, GCS, BigQuery, Cloud Run / GKE, IAM) for ingestion, storage, and orchestration. • Production experience with Apache Airflow (DAG design, sensors, retries, SLAs, idempotent tasks, incremental loads). • Advanced SQL (complex joins, window functions, incremental logic, performance-aware query writing). • Strong Python for data engineering (pipelines, transformations, tests, tooling). • Git workflow (PRs, code review, CI for SQL/pipelines, versioning of data logic). • Experience working with financial / payments / subscription data (or comparably high-stakes domains) where correctness is non-negotiable. • Ability to communicate trade-offs and findings clearly to both technical and non-technical stakeholders. • Tinybird experience (pipes, endpoints, materializations, performance tuning). • dbt, Dataflow / Beam, Spark, or other large-scale processing frameworks. • Experience with risk/fraud or billing & payments analytics (auth rate, dispute rate, dunning recovery, BIN/issuer analysis). • Experience with experimentation/A/B test data infrastructure. • Terraform / IaC, Docker, Kubernetes for data infra. • 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.
Responsibilities
• Design and build event-driven, real-time data pipelines on ClickHouse, Google Cloud, and Airflow to power dashboards and self-serve analytics. • Optimize ClickHouse schemas, materialized views, and queries for performance, correctness, and cost. • Model core financial datasets for payments and subscriptions: authorizations, declines, refunds, chargebacks, disputes, dunning, MRR/ARR, LTV, churn, cohort retention. • Own data quality and observability: tests, monitoring, alerting, lineage, and SLAs for freshness and correctness on Tier-1 datasets. • Investigate anomalies and data-quality issues in financial data, perform root-cause analysis, and drive fixes end-to-end (instrumentation → pipeline → metric). • Partner with Backend/Platform on event schemas and instrumentation to ensure high-quality, well-typed billing and payments events. • Document logic (metric definitions, tables, pipeline behavior) and build internal tooling/templates that let analysts ship safely on top of the platform.
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!
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