Junior+/Mid Data Engineer

Junior+/Mid Data Engineer

Miejsce pracy: Warszawa

Technologies we use

Expected

• Microsoft Azure
• Python
• SQL

Optional

• PostgreSQL
• Microsoft SQL Server
• Apache Spark
• Azure DevOps
• Apache Airflow
• Databricks

About the project

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.

This is how we organize our work

Team size

4-7

This is how we work

• in house
• at the client's site
• you focus on a single project at a time
• you develop several projects simultaneously
• you can change the project
• you have influence on the technological solutions applied
• you have influence on the product
• you develop the code "from scratch"
• you focus on product development
• agile
• scrum

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.

Our requirements

• 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.

Optional

• 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).

What we offer

• MyBenefit platform / Multisport
• Enel-Med private medical care
• 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
• 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
• Company-wide trips (including international ones)
• Team integration budgets
• Open communication and supportive, passionate teams

This is how we work on a project

• Clean Code
• code quality measures
• code review
• design patterns
• static code analysis
• architect / technical leader support
• Continuous Deployment
• Continuous Integration
• DevOps
• SysOps
• team-level deployment
• documentation

Recruitment stages

• Screening
• Tech Interview
• HR Interview

EQUAL OPPORTUNITY

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

CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ

At CLOUDFIDE, we do everything with data and contribute to pivotal projects for Fortune 500 companies. This is your chance to enhance your skills and leave your global footprint.

Our collaborative culture champions your professional growth. Dive into cloud data processing, gain hands-on big data experience, and leverage our team's expertise to drive your professional growth.

Here you'll have an opportunity to use advanced technologies to shape client strategies. With CLOUDFIDE, you can amplify your career alongside the industry's best.