Senior Data Engineer — Remote, Cloud & AI Solutions

STX Next; Poznań; On-site; PLN 193,000 - 248,000; Full time

Benefits offered by this job

Cafeteria & Health

Collaboration culture

Tech events

In-person networking Poznań/Gliwice

Job summary

STX Next is seeking a Data Engineer to join a remote-first team delivering data solutions for international clients. You will design, build, and optimize data pipelines and architectures, collaborating with cross-functional teams to meet client requirements and ensure high performance.

You will work with Snowflake, Databricks, and other modern tools, applying best practices to ensure data quality and scalable solutions while communicating effectively in English.

Qualifications

• Minimum 7 years of Data Engineering experience.
• Strong SQL and Python abilities.
• Experience designing scalable data pipelines and data warehouses.
• Experience with cloud platforms (AWS or Azure).
• Excellent English communication.

Responsibilities

• Develop innovative data solutions for complex data challenges using creativity and technology.
• Design and build data systems that fulfill client requirements and optimize user experience.
• Collaborate across teams to integrate unique approaches and solve problems.
• Serve as a trusted consultant and architect for global data solutions.
• Handle large-scale data processing and manage distributed systems for reliability.
• Harness high data quality standards and refine best practices.
• Foster collaboration, craftsmanship, and continuous improvement.

Skills

7+ years Data Engineering

SQL proficiency

Python

English (B2+)

AI mindset

Tools

Snowflake

Databricks

Apache Iceberg

AWS

Azure

dbt

Airflow

ETL pipelines

Job description

STX Next is seeking a Data Engineer to join a remote-first team delivering data solutions for international clients. You will design, build, and optimize data pipelines and architectures, collaborating with cross-functional teams to meet client requirements and ensure high performance.

You will work with Snowflake, Databricks, and other modern tools, applying best practices to ensure data quality and scalable solutions while communicating effectively in English.