10/19/2026 updated
40 % partially available
Senior Data Engineer | Python, SQL, BigQuery, Airflow, dbt
Brno, Czech Republic
Only remote
Master's Degree in FinanceAbout me
Data Engineer with a background in analytics engineering, backend development and fraud analytics. Experienced in designing data pipelines, building data models and developing scalable solutions around financial and operational data.
DagsterdbtSql Data WarehouseApache AirflowGoogle BigQueryData IntegrationExtract Transform Load (ETL)Data TransformationPython (Programming Language)PostgreSQLDatadogGoogle CloudBackendSentryTerraform
Data Engineering & Pipeline Development
Expertise in designing and maintaining end-to-end ETL/ELT pipelines using SQL, BigQuery, Airflow, dbt, and Dagster, covering ingestion, transformation, data modeling, and publishing across batch and near-real-time workflows.
Python & Backend Development
Strong proficiency in Python for building and scaling backend services, including microservices architecture with FastAPI, secure authentication workflows, and AI-driven browser automation.
Cloud & Infrastructure
Hands-on experience with GCP services including BigQuery, Cloud Storage, Cloud Scheduler, and Pub/Sub, as well as containerization with Docker, infrastructure-as-code with Terraform, and on-premise storage using MinIO.
Data Quality & Monitoring
Practical use of monitoring and observability tools such as Datadog, Sentry, and Monte Carlo to ensure data reliability and pipeline health.
Fraud Analytics
Background in designing data-driven fraud detection workflows, fraud indicators, and alerting mechanisms leveraging multiple internal and external data sources.
AI & Automation
Application of AI tools including Browser Use, MCP, and LLMs for automation tasks such as report retrieval and reducing manual processing.
Data Ingestion from External Sources
Development of data ingestion pipelines integrating data from 20+ external providers via APIs, SFTP, and email-based workflows.
Technical Leadership & Code Review
Experience acting as technical reviewer for junior engineers, conducting code reviews, providing architectural guidance, and mentoring data analysts in writing efficient SQL.
Expertise in designing and maintaining end-to-end ETL/ELT pipelines using SQL, BigQuery, Airflow, dbt, and Dagster, covering ingestion, transformation, data modeling, and publishing across batch and near-real-time workflows.
Python & Backend Development
Strong proficiency in Python for building and scaling backend services, including microservices architecture with FastAPI, secure authentication workflows, and AI-driven browser automation.
Cloud & Infrastructure
Hands-on experience with GCP services including BigQuery, Cloud Storage, Cloud Scheduler, and Pub/Sub, as well as containerization with Docker, infrastructure-as-code with Terraform, and on-premise storage using MinIO.
Data Quality & Monitoring
Practical use of monitoring and observability tools such as Datadog, Sentry, and Monte Carlo to ensure data reliability and pipeline health.
Fraud Analytics
Background in designing data-driven fraud detection workflows, fraud indicators, and alerting mechanisms leveraging multiple internal and external data sources.
AI & Automation
Application of AI tools including Browser Use, MCP, and LLMs for automation tasks such as report retrieval and reducing manual processing.
Data Ingestion from External Sources
Development of data ingestion pipelines integrating data from 20+ external providers via APIs, SFTP, and email-based workflows.
Technical Leadership & Code Review
Experience acting as technical reviewer for junior engineers, conducting code reviews, providing architectural guidance, and mentoring data analysts in writing efficient SQL.
Languages
EnglishGoodPortugueseBasic knowledgeSlovakNative speaker
Project history
Working as a freelance Senior Data Engineer through KPMG on a data pipeline project for an external client. Building end-to-end data pipelines covering ingestion, parsing and publishing of meteorological and forecast data from numerous international sources. Handling both batch (daily) and near-real-time data collection across multiple providers. Designing parsers for heterogeneous data formats, acting as technical reviewer for junior engineers, architecting on-premise data storage using MinIO, and orchestrating pipelines using Dagster.
Built and scaled backend services in Python (FastAPI), designing microservices for financial systems. Designed and implemented AI-driven browser automation for report retrieval, reducing manual report processing by approximately 90-100%. Implemented secure authentication workflows using MCP server integration and contributed to FinTech reconciliation systems handling business-critical financial data flows.
Designed and maintained end-to-end ETL/ELT pipelines transforming raw financial data into accounting-ready datasets for automated NetSuite integration. Built and optimized analytical data models using dbt, including one of the first dbt implementations within the company. Developed data ingestion pipelines integrating data from 20+ external providers via APIs, SFTP and email-based workflows. Led redesign of data quality checks and mentored data analysts in writing efficient SQL.