Lead Data Engineer (Partner Company Role)
FYST has an opening for a Lead Data Engineer (Partner Company Role) as a remote role open to applicants in Poland. It is listed as a full-time, senior position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
FYST has an opening for a Lead Data Engineer (Partner Company Role) as a remote role open to applicants in Poland. It is listed as a full-time, senior position.
Reading the advert, the employer asks for English language skills.
Skills and tools named in the text include Python, PostgreSQL, Kafka, Snowflake, dbt, Airflow, AWS and Kubernetes.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
Dev Global Jobs found this job on Himalayas on Nov 3, 2026; applications close on Jan 2, 2027.
- Employer
- FYST
- Location
- Remote (Poland)
- Job type
- Full-time
- Level (from the title)
- senior
- Pay
- Not stated by the employer
- Languages asked
- English
- Found
- Nov 3, 2026 on Himalayas
- Closes
- Jan 2, 2027
- Employer text
- 393 words, about 2 min to read
- Apply only on the official page (himalayas.app). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, PostgreSQL, Kafka and Snowflake) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in English plainly (for example B2 or C1).
- Plan to apply before Jan 2, 2027.
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
About the role
Full text from the employer, as published on Himalayas, arranged into sections. Nothing added or removed.
01WHAT YOU'LL BE WORKING ON
- 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.
02WHAT YOU NEED TO SUCCEED IN THIS ROLE
- 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.
03WHAT WE OFFER
- 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
Originally posted on Himalayas
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