mid Data Engineer @ CLOUDFIDE SP. Z.O.O

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.

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.

Here's why you'll love Cloudfide

Benefits:

• Professional Growth:
  • Access to top e‑learning platforms and development budget
  • Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally
• Work Environment:
  • Long-term collaboration via B2B - we value lasting partnerships
  • Remote-first
  • Flexible hours
  • Work alongside exceptional engineers and experts
  • Flat structure where every person matters and influences the company
• Culture & Integration:
  • Full-company integration trips (including international ones)
  • Team-level integration budgets
  • Open, supportive, and collaborative culture

Equal opportunities

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

What We’re Looking For

• 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.

Nice to Have

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

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.

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.

Here's why you'll love Cloudfide

Benefits:

• Professional Growth:
  • Access to top e‑learning platforms and development budget
  • Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally
• Work Environment:
  • Long-term collaboration via B2B - we value lasting partnerships
  • Remote-first
  • Flexible hours
  • Work alongside exceptional engineers and experts
  • Flat structure where every person matters and influences the company
• Culture & Integration:
  • Full-company integration trips (including international ones)
  • Team-level integration budgets
  • Open, supportive, and collaborative culture

Equal opportunities

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

,(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.) Requirements: Python, SQL, Data engineering, Azure, ETL / ELT, Cloud, Data Warehousing, Databricks, Spark, Airflow, CI/CD, Azure DevOps Server, Big data, MLOps Tools: Agile, Scrum. Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects, MyBenefit, E‑learning platforms, Work-life balance, Integration events, Startup atmosphere.