Remote Junior Data Engineer | Cloud & Data Lake

CLOUDFIDE; Warszawa; On-site; PLN 90,000 - 150,000; Full time

Benefits offered by this job

Budget for professional development

MyBenefit cafeteria

Medicover medical care

Team-building meetings and trips

Flexible work from anywhere

Job summary

Cloudfide is seeking a data engineering professional passionate about cloud and data analytics to join a growing team. You will work on modern cloud data lake implementations using Databricks, CI/CD and cloud services as your daily driver.

You will build data models and pipelines, optimize analytics solutions, ensure data quality and documentation, and potentially lead small teams of engineers. Remote-friendly, flexible work, with development budget and healthcare benefits offered.

Qualifications

• 1+ years of experience delivering data warehouse, data lake, or business intelligence solutions.
• Experience with cloud services such as Azure, AWS, or GCP.
• Proficient in Python for data-related tasks.
• Strong understanding of SQL, including data analysis and working with relational databases (e.g., SQL Server, PostgreSQL).
• Basic knowledge of public cloud architecture, security, and networking concepts (MS Azure experience preferred).
• Familiarity with data warehouse modeling practices and ETL/ELT development.
• Strong conceptual and analytical skills to solve data-related challenges.

Responsibilities

• Implementing, and optimizing modern cloud-based solutions.
• Building and launching new data models and data pipelines.
• Implementing best practices in data engineering including data integrity, quality, and documentation.
• Optimization of existing analytical solutions.
• Leading small size teams of engineers and being a role model.

Skills

Data engineering

Python for data tasks

SQL for data analysis

Cloud platforms (Azure/AWS/GCP)

Databricks

Tools

Azure DevOps

Apache Airflow

Apache Spark

Databricks platform

Job description

Cloudfide is seeking a data engineering professional passionate about cloud and data analytics to join a growing team. You will work on modern cloud data lake implementations using Databricks, CI/CD and cloud services as your daily driver.

You will build data models and pipelines, optimize analytics solutions, ensure data quality and documentation, and potentially lead small teams of engineers. Remote-friendly, flexible work, with development budget and healthcare benefits offered.