Senior Data Engineer

Data

Senior Data Engineer

Data
-, Warszawa

Remodevs

Full-time
B2B, Permanent
Senior
Hybrid
5 500 - 7 700 USD
Net per month - B2B
5 500 - 7 700 USD
Gross per month - Permanent

Job description

Please note it's now remote role but later turns into hybrid - so only candidates from Warsaw and surroundings are required.



About:

We are seeking a highly motivated and self-driven data engineer for our growing data team -who is able to work and deliver independently and as a team. In this role, you will play a crucial part in designing, building and maintaining our ETL infrastructure and data pipelines.


Major Responsibilities:


● Design, develop, and deploy Python scripts and ETL processes with Prefect and Airflow to prepare data for analysis.

● Model dimensional and denormalized schemas for optimal performance reporting and discovery.

● Design AI-friendly DB schemas and ontologies.

● Architect cloud ops solutions for data topologies.

● Transform and migrate data with Python, DBT, and Pandas.

● Work with event-based/streaming technologies for real-time ETL.

● Ingest and transform structured, semi-structured, and unstructured data.

● Optimize ETL jobs for performance and scalability to handle big data workloads.

● Monitor and troubleshoot ETL jobs to identify and resolve issues or bottlenecks.

● Implement best practices for data management, security, and governance with Prefect, DBT, and Pandas.

● Write SQL queries, program stored procedures, and reverse engineer existing data pipelines.

● Perform code reviews to ensure fit to requirements, optimal execution pattern,s and adherence to established standards.

● Assist with automated release management and CI/CD processes.

● Validate and cleanse data and handle error conditions gracefully.


Skills

● 3+ years of Python development experience, including Pandas

● 5+ years writing complex SQL queries with RDBMSes.

● 5+ years of Experience with developing and deploying ETL pipelines using Airflow, Prefect, or similar tools.

● Experience with cloud-based data warehouses in environments such as RDS, Redshift, or Snowflake.

● Experience with data warehouse design: OLTP, OLAP, Dimensions, and Facts.

● Experience with Cloud-based data architectures, messaging, and analytics.


Pluses: Experience with

● Docker

● Kubernetes

● CI/CD automation

● AWS lambdas/step functions

● Data partitioning

● Databricks

● Pyspark

● Cloud certifications


Tech stack

    English

    B2

    ETL

    advanced

    SQL

    advanced

    Airflow

    regular

    DBT

    regular

    Snowflake

    regular

    Python

    regular

    AWS

    nice to have

    Databricks

    nice to have

Office location

Published: 09.07.2025