Data Engineer (Fintech)

TL;DR

Data Engineer (ClickHouse/GCP): Designing and building event-driven, real-time data pipelines for Paynext payments and billing analytics with an accent on low-latency data products and ClickHouse optimization. Focus on modeling core financial datasets, ensuring data quality and observability, and optimizing complex queries for cost and performance.

Location: Remote (Must be located within approximately ± 4 hours of CET)

Company

hirify.global is a leading tech company that creates and operates innovative consumer products across the health, education, and entertainment industries.

What you will do

• Design and build 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, including MRR/ARR, LTV, and churn.
• Own data quality and observability by implementing tests, monitoring, and SLAs for Tier-1 datasets.
• Partner with Backend and Platform teams on event schemas and instrumentation to ensure high-quality billing events.
• Document logic and build internal tooling/templates to enable analysts to ship safely.

Requirements

• Production experience with ClickHouse, including data modeling (MergeTree family), query tuning, and sharding.
• Experience designing event-driven, real-time analytics pipelines using Kafka, Pub/Sub, or Kinesis.
• Hands-on experience with the Google Cloud data stack (Pub/Sub, GCS, BigQuery, Cloud Run/GKE).
• Production experience with Apache Airflow, focusing on DAG design, idempotent tasks, and incremental loads.
• Advanced SQL skills and strong Python proficiency for data engineering tasks.
• Must be located within approximately ± 4 hours of CET.

Nice to have

• Experience with Tinybird (pipes, endpoints, performance tuning).
• Knowledge of dbt, Dataflow/Beam, or Spark.
• Experience with risk/fraud or billing and payments analytics.
• Experience with experimentation/A/B test data infrastructure.
• Skills in Terraform/IaC, Docker, and Kubernetes for data infrastructure.

Culture & Benefits

• Remote work environment promoting a healthy work-life balance.
• Unlimited paid time off (PTO) to prioritize well-being.
• Paid national holidays.
• Company-provided MacBook for all employees.
• Flexible independent contractor agreement providing autonomy and tax advantages.

Hiring process

• Recruiter Screening (40 minutes).
• Technical Interview (60 minutes).