Data Engineer with GCP

Data

Mostowa 38, Poznań+4 Locations

STX Next

23 520 - 30 240PLN

Net per month - B2B

Full-time

B2B

Senior

Remote

Tech stack

English

B2

Airflow

master

DBT

master

GCP

master

BigQuery

master

Python 3.x

advanced

Job description

Hi there!

We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, we're shaping the future of technology one project at a time.

Are you the NEXT one?

Type of contract

A B2B contract for your flexibility and competitive compensation package

Location

A remote work model encouraging work-life balance.

Salary

Regular up to 18 480 PLN net + VAT

Regular+ up to 23 520 PLN net + VAT

Senior up to 26 880 PLN net + VAT

Senior+ up to 30 240 PLN net + VAT

Job description

At STX Next, Data Engineers are creative problem-solvers who thrive at the intersection of data, innovation, and technology. Our approach to challenges is both collaborative and inventive, driven by the belief that every obstacle has a solution. You’ll join a dedicated team that transforms data into valuable systems, addressing clients' needs and elevating the experience for end users.

As a Data Engineer, you’ll work closely with international clients, providing both consultancy and technical architecture to shape reliable, high-performance data solutions. You’ll handle everything from large data sets to distributed systems, setting a high bar for data quality. If you’re excited by complex problems and want to contribute to a collaborative culture of craftsmanship, STX Next offers the platform to bring your ideas to life.

Responsibilities

• Develop innovative 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 out-of-the-box thinking into problem-solving.
• Serve as a trusted consultant and architect for customized data solutions for global clients.
• Handle large-scale data processing and manage distributed systems to ensure reliability and performance.
• Uphold high standards of data quality and refine approaches to align with best practices.
• Foster a culture of collaboration, craftsmanship, and continuous improvement.

Requirements

Technical Expertise

• Strong experience in designing scalable data processing systems (pipelines, ETL, data warehouses, and lakes).
• Proficiency in GCP, especially BigQuery.
• Experience with dbt for data transformation.
• Strong SQL skills and experience with relational databases.
• Familiarity with Apache Airflow for workflow orchestration.
• Proficiency in Python for data engineering tasks.

Soft Skills

• Good communication skills in English (minimum B2).
• Strong problem-solving and analytical thinking.

Benefits

Work-life Balance

We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides.

Reimbursed private medical care (Medicover) and Multisport

We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.

Leader’s support

Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday.

Technology focus

Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain.

Growth review

Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months.

Events

Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker!

Workation

Team trips where you have a chance as a team not only to work together, but also integrate f2f.

Published: 14.08.2025

Office location