---
title: Middle Data Engineer at Plazo Technologies
description: #vacancy #dataengineer
---

# Middle Data Engineer

**Company:** Plazo Technologies  
**Location:** Poland  
**Posted:** 2026-08-13  
**Apply by:** 2026-09-27

**Tags:** python, data engineer

[Apply / View original posting](https://t.me/Pol_relocation/56651)

## Job description

#vacancy #dataengineer

Plazo Technologies is looking for Middle Data engineer

🔺What you'll do:
• Design, build and optimize data models and transformation pipelines in our ClickHouse-based warehouse.
• Develop and maintain ETL/ELT ingestion from operational databases, event streams and third-party APIs.
• Improve performance, stability, and cost of existing pipelines and queries as data volumes grow.
• Own data quality - automated tests, freshness and anomaly monitoring, and investigation when something looks wrong.
• Work directly with Risk, Collections, Marketing, Finance and Data Science teams to turn business questions into reliable data models.
• Support analysts and BI users, and reduce recurring manual requests by productising them.

🔺What we're looking for:
• **3+ years** of hands-on experience as a Data Engineer, including work in a production analytical warehouse.
• **ClickHouse - at least 1 year of practical experience. This is a must.** Table engines, partitioning, materialized views, and the ability to diagnose slow or memory-heavy queries.
• **Strong SQL**, including window functions, array functions, complex joins and incremental logic on large tables.
• Confident **Python** for data processing, integration and automation.
• Practical experience with **Apache Airflow** - building and debugging DAGs, retries, backfills.
• Understanding of streaming and **CDC-based replication** (Kafka, Debezium or equivalent).
• Practical experience with **dbt** - incremental models, tests, project structure.
**English** at intermediate level or above.

🔺Nice to have:
• Experience with BI tools such as Tableau or Apache Superset.
• Experience with data quality / observability frameworks.
• Fintech or lending background - credit lifecycle, delinquency, provisioning, cohort and LTV reporting.
• Understanding data modelling and DWH architecture in-column-oriented DB.
• Spanish.

🔺Our stack:
Languages: SQL, Python
Warehouse: ClickHouse
Transformation: dbt
Orchestration: Apache Airflow
Streaming & ingestion: Kafka, CDC
Visualization: Apache Superset, Tableau
Infrastructure: Prometheus, Grafana, Docker, Git

📩 Apply: @annakamyak
#dataengineer #clickhouse #sql #python #kafka #datajobs #itjobs #hiring

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