Lead Data Engineer

New
F
FYSTFintech
Poland; Secondary Locations: Czech Republic, Bulgaria, Germany, Croatia, Austria, Estonia, Hungary, CyprusFull-TimeLead
Salary not disclosed
Apply NowOpens the employer's application page

Job Details

Languages
English (B2 level) and Russian (fluent)
Experience
5+ years
Required Skills
AWSPostgreSQLPythonKafkaRabbitmqSnowflakeData engineeringgRPC

Requirements

  • 5+ years in data engineering with end-to-end ownership of production pipelines.
  • Hands-on experience with Snowflake, PostgreSQL CDC (Debezium preferred), and Kafka.
  • Solid AWS experience (S3, RDS, Aurora, cloud data infrastructure).
  • Strong data quality engineering mindset (monitoring, reconciliation, lineage).
  • Ability to define data contracts and drive requirements with backend teams.
  • Technical leadership experience with project ownership and cross-team alignment.
  • Familiarity with gRPC, RabbitMQ, and reading Go/Python service code.
  • English language skills at the B2 level.
  • Fluent Russian language.
  • Kubernetes, Airflow/Prefect/Dagster, and dbt are strong pluses.
  • Payments domain knowledge (settlement, transactions, processor integrations) is a plus.

Responsibilities

  • 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 using Debezium or equivalent.
  • Build streaming and near-real-time pipelines with defined SLAs.
  • Build a data quality control layer including checksums, reconciliation, schema validation, anomaly detection, and alerting.
  • Define and enforce data contracts for core entities like transaction, merchant, settlement, and processing status.
  • Build the external data delivery layer for financial settlement, transaction status, and client analytics.
  • Design tenant separation and implement failure recovery mechanisms.
  • Start hands-on while planning and growing the data engineering team.
  • Develop a 3, 6, and 12-month pragmatic roadmap.
View Full Description & ApplyYou'll be redirected to the employer's site
View details
Apply Now