Mid Data Engineer

Technologies we use

Expected

• Python
• SQL

Optional

• Microsoft Azure
• AWS
• Google Cloud Platform
• Microsoft SQL Server
• PostgreSQL
• Databricks
• Apache Spark
• PySpark
• Apache Airflow
• GitHub Actions

About the project

At Cloudfide, you’ll work where data truly has impact, scale, and purpose. We design and deliver advanced Big Data and cloud-native data platforms for international clients, including major players in retail and Fortune 500.

We process massive datasets, operate fully in the cloud ecosystem, and use the latest technologies, including AI, ML, and MLOps.

Opportunity Overview

You will join an engineering team responsible for building modern cloud data lake / data platform solutions. Tools like Databricks, cloud-native services, and CI/CD pipelines will be your daily drivers.

Expect a wide variety of projects, support from exceptional engineers, and a culture of knowledge sharing, openness, and practical growth in your chosen direction.

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

• Building and launching data pipelines and data models in cloud environments (Azure is our main ecosystem).
• Close collaboration with clients - gathering requirements, discussing solutions, communicating progress clearly.
• Implementing best practices in data engineering: data integrity, quality checks, testing, documentation, and data lineage.
• Optimizing existing analytical solutions for performance, cost efficiency, and reliability.
• Contributing to cloud architecture design and standards (security, governance, scalability).
• Working with CI/CD, automation, monitoring, and production-ready processes (DataOps).
• Supporting integrations across BI/ML/DevOps teams.

Our requirements

• 2+ years of experience as a Data Engineer or in a similar data engineering-focused role.
• 1+ year of experience working with cloud platforms - we use Azure, but AWS or GCP experience is also welcome.
• 2+ years of Python - strong coding skills and confidence in writing clean, production-ready code.
• 2+ years of SQL and hands-on experience with relational databases (SQL Server, PostgreSQL, or similar).
• Understanding of DWH data modeling and ETL/ELT development.
• General awareness of cloud architecture, networking, and security concepts.
• Creativity, openness to innovation, and a willingness to grow in dynamic, fast‑evolving projects.

Optional

• Experience with Databricks, Apache Spark or PySpark.
• Knowledge of Apache Airflow (orchestration).
• Familiarity with Azure DevOps or GitHub Actions (CI/CD).

What we offer

• Benefits:
• MyBenefit platform / Multisport
• Enel‑Med private medical care
• Professional Growth:
• Annual 2,000 PLN development budget
• Access to e‑learning platforms
• Real opportunities to expand responsibility and lead initiatives - most of our Leads come from internal promotions
• As the company continuously grows, you get real opportunities to expand your responsibilities, explore new areas, and even take ownership of your own initiatives.
• 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

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.