Offer summary

(Summary generated by AI based on the full job description)

The project focuses on Big Data and cloud-native platforms using Azure, Databricks, Python, SQL. The team develops data lakes and pipelines for large clients, including retail and Fortune 500 companies. Responsibilities include cloud architecture design, implementing and optimizing solutions, client collaboration, and ensuring data integrity, CI/CD, and DataOps. Benefits include private medical care, 2,000 PLN training budget, and a remote-first working model.

from: 16 July 2026
to: 15 August 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of mandate
Offer parameters
level:mid • senior
working mode:remote
Warszawa, Praga-Południe
Warszawa, Praga-PołudnieJana Nowaka-Jeziorańskiego 53aView on map

Requirements

Expected technologies

Microsoft Azure
Google Cloud Platform
AWS
Python
SQL

Optional technologies

PostgreSQL
Microsoft SQL Server
Apache Spark
Azure DevOps
Apache Airflow
Databricks

Our requirements

  • 2+ years of experience delivering complex data warehouse / data lake / business intelligence solutions.
  • 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).

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.

About the project

Why Join Us
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

This is how we work

in houseat the client's siteyou focus on a single project at a timeyou develop several projects simultaneouslyyou can change the projectyou have influence on the technological solutions appliedyou have influence on the productyou develop the code "from scratch"you focus on product developmentagilescrum

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

EQUAL OPPORTUNITY

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

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

Benefits

  • private medical care
  • sharing the costs of professional training & courses
  • remote work opportunities
  • flexible working time
  • integration events

Recruitment stages

  • 1.
    Screening
  • 2.
    Tech Interview
  • 3.
    HR Interview

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.
Data Engineer
I apply to:
CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Warszawa, Praga-Południe
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