Junior+/Mid Data Engineer

CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ; Warszawa, Wrocław, Kielce, Katowice; Remote; PLN 120,000 - 180,000; Full time

Benefits offered by this job

MyBenefit platform / Multisport

Enel-Med private medical care

Annual development budget

Job summary

Cloudfide is hiring a Data Engineer to design and maintain enterprise-grade data pipelines on Azure and Databricks for global clients. You’ll work with large-scale datasets in a cloud-native environment, applying Python/PySpark, and collaborating with international teams. We’re open to mid-level and junior+ engineers eager to grow.

Join a team that values technical excellence, mentorship, and ownership. Remote-first, flexible hours, and opportunities to lead initiatives while expanding your

Qualifications

• Minimum 1.5 years commercial data engineering experience.
• Strong Python skills for data processing.
• Hands-on Databricks experience.
• Experience with Azure and SQL.
• Fluent English communication across international teams.

Responsibilities

• Designing, building, and maintaining enterprise-level data pipelines on Azure and Databricks.
• Developing data processing logic in Python (including PySpark).
• Ensuring data quality, reliability, and performance of data workflows.
• Optimizing pipelines for performance and cost efficiency.
• Translating business requirements into well-structured technical tasks and delivering them end-to-end.
• Writing clean, tested, and well-documented code and participating in code reviews.
• Collaborating with team members and stakeholders to solve data challenges.

Skills

Python

Databricks

Azure

SQL

English

PySpark

Job description

Why Join Us

At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. Our projects have measurable, real-world impact, from enhancing customer experiences at scale to empowering data-driven decision-making in high-visibility global organizations. As we continue to grow, you’ll have the opportunity to learn from experienced engineers, expand your skills, and take ownership of increasingly challenging initiatives.

Opportunity Overview

As a Data Engineer, you will build and maintain enterprise-level data pipelines on Azure and Databricks for global clients. You’ll work with large-scale datasets and modern data architectures, growing your skills alongside experienced engineers. We’re open to both mid-level engineers and promising Junior+ candidates who are ready to take the next step. You’ll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth.

Your Responsibilities

• Designing, building, and maintaining enterprise-level data pipelines on Azure and Databricks.
• Developing data processing logic in Python (including PySpark).
• Ensuring data quality, reliability, and performance of data workflows.
• Optimizing pipelines for performance and cost efficiency.
• Translating business requirements into well-structured technical tasks and delivering them end-to-end.
• Writing clean, tested, and well-documented code and participating in code reviews.
• Collaborating with team members and stakeholders to solve data challenges.

What We’re Looking For

• At least 1.5 years of commercial experience in data engineering.
• Strong Python skills for data processing.
• Hands-on experience with Databricks.
• Experience working with Azure.
• Experience building enterprise-level data pipelines.
• Good SQL skills.
• Drive and a proactive approach: you take initiative and push things forward.
• Strong problem-solving skills.
• Fluent English communication, able to collaborate effectively across international teams.

Nice to Have

• Experience with agentic AI, AI agents, or LLM-based solutions.
• Knowledge of Apache Spark / PySpark optimization.
• Familiarity with Lakehouse architecture, Delta Lake, or Unity Catalog.
• Experience with orchestration tools (e.g. Azure Data Factory, Databricks Workflows, Apache Airflow).
• Experience with CI/CD pipelines (Azure DevOps or GitHub Actions).

Here’s why you’ll love Cloudfide

Benefits:

• MyBenefit platform / Multisport
• Enel-Med private medical care

Professional Growth:

• Annual 2,000 PLN development budget
• Access to e-learning platforms
• Mentoring from experienced engineers and a clear path to grow your skills
• Real opportunities to expand responsibility and lead initiatives; most of our Leads come from internal promotions

Work Environment:

• Long-term cooperation: UZ or B2B (we value stable, lasting relationships)
• Remote-first, work from anywhere in the world (workation)
• Flexible hours & strong focus on work-life balance
• Collaboration with top engineers you can truly learn from
• Flat structure: every voice counts, and you help shape the company

Culture & Integration:

• Company-wide trips (including international ones)
• Team integration budgets
• Open communication and supportive, passionate teams

Equal Opportunities

CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.