Lead Data Engineer (Partner Company Role)

FYST

Spain

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

5 years minimum

Working hours

Regular working hours

Languages

English, Russian

Job source

es.indeed.com

Tech stack

Airflow Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Cloud Database Information Engineering Python (Programming Language) PostgreSQL RabbitMQ Snowflake Debezium Kubernetes

+2 more

Apache Kafka Data Delivery

Job description

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.

Requirements

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.

Benefits & conditions

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