Mid Data Engineer

your Jared; Poland; Remote; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Multisport

Private medical care

Development budget

E-learning access

Internal promotions

Remote-first

Workation opportunities

Flexible hours

Job summary

Cloudfide is seeking a Mid Data Engineer to help build modern cloud data lake and platform solutions for international clients. You will work with Databricks, Azure, and CI/CD pipelines in a fast-growing, remote-first environment.

You will collaborate with clients and engineers to design data pipelines, implement data quality, and optimize performance and cost. We value practical growth and ownership in a global, flexible team.

Qualifications

• 2+ years of experience in data engineering or similar.
• 1+ year of cloud platform experience (Azure preferred; AWS/GCP acceptable).
• 2+ years of Python coding in production-grade projects.
• 2+ years of SQL experience with relational databases (SQL Server/PostgreSQL).
• Understanding of DWH data modeling and ETL/ELT development.
• General knowledge of cloud architecture, networking, and security.
• Creative, collaborative, and growth-oriented mindset.

Responsibilities

• Build and launch data pipelines and models in cloud environments (Azure focus).
• Collaborate with clients to gather requirements and communicate progress.
• Apply data quality, testing, documentation, and data lineage practices.
• Optimize existing analytical solutions for performance and cost.
• Contribute to cloud architecture, security, and governance standards.
• Work with CI/CD, automation, monitoring, and production-ready DataOps.
• Support integrations across BI/ML/DevOps teams.

Skills

Python

SQL

Azure

Databricks

Spark/PySpark

CI/CD

Data modeling

Tools

Databricks

Apache Spark

Airflow

Azure DevOps

GitHub Actions

PostgreSQL

SQL Server

Job description

Mid Data Engineer

Location

Scope

Contract

Salary

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.

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.

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).

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

  • 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

Equal opportunities

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