FYST

Lead Data Engineer (Partner Company Role)

Rol remoto de Lead Data Engineer con fit claro de ubicación del candidato.

Publicado19 jul 2026

Países elegibles1 país aceptado

Señal de seniorityMiddle

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

España

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

Design the target-state data architecture: Postgres CDC → Kafka → Snowflake → client-facing data products.
Own tooling decisions across ingestion, orchestration, transformation, and quality layers.
Implement CDC-based ingestion from PostgreSQL services (RDS, Aurora, EC2, K8s operator) using Debezium or equivalent.
Build streaming and near-real-time pipelines with defined SLAs.
Build a data quality control layer: checksums, reconciliation, schema validation, anomaly detection, and alerting.
Define quality checkpoints across the full pipeline — from source capture through Snowflake to client delivery.
Define and enforce data contracts with service-owning teams for core entities: transaction, merchant, settlement, and processing status.
Build the external data delivery layer: financial settlement, transaction status, processor reconciliation, and client analytics.
Design tenant separation and implement replay/reload mechanisms for failure recovery.
Start hands-on, then gradually hire and grow a small data engineering team as the function matures.Build a pragmatic roadmap with concrete deliverables at 3, 6, and 12 months.

5+ years in data engineering with end-to-end ownership of production pipelines.
Hands-on with Snowflake, PostgreSQL CDC (Debezium preferred), and Kafka.
Solid AWS experience — S3, RDS, Aurora, and cloud data infrastructure.
Data quality engineering mindset: monitoring, reconciliation, lineage.
Comfortable defining data contracts and driving requirements with backend engineering teams.
Technical leadership experience: project ownership, cross-team alignment, delivery under constraints.
Kubernetes, Airflow/Prefect/Dagster, and dbt are strong pluses.
Payments domain knowledge — settlement, transaction lifecycle, processor integrations — is a strong plus.
Familiarity with gRPC, RabbitMQ, and reading Go/Python service code is expected.
English language skills at the B2 level and fluent russian language.

An opportunity to make something great even greater, you can be the reason why we grow, develop, and become the best fintech company on the market!
Career prospects - we are young, we have huge ambitions, and it is important that our employees grow with us
Work with coworkers who are passionate about their business
Compensation that will fully correspond to the competence and knowledge, with yearly performance reviews
Remote work
20 days of vacation time; bank holidays; sick leaves; additional birthday day off

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