Junior Data Engineer

technologies-expected :

• Microsoft Azure
• Google Cloud Platform
• Python

technologies-optional :

PostgreSQL

Microsoft SQL Server

Apache Spark

Databricks

Azure DevOps

Apache Airflow

about-project :

You are

Passionate about Cloud and data analytics. Curious and eager to learn new technologies. One that would like to work with a team of like-minded people.

Opportunity overview

You will work on a project involving modern cloud data lake implementation, leveraging Databricks, CI / CD and cloud services as your daily driver.

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.

requirements-expected :

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.

offered :

BENEFITS : Regardless of the form of employment - Budget for your professional development - training and certification. MyBenefit cafeteria (with Multisport). Medicover medical care. Team-building meetings and trips.

FLEXIBILITY : Enjoy the freedom of working from anywhere, and have a genuine say on our tools, tech, and solutions.

STABILITY : Stable and long-term employment (employment contract, B2B).

START-UP CULTURE : Open communication, creative problem solving and a flat hierarchy.

GROWTH : Skyrocket your career by exploring new territories – you can work on various projects related to Big Data and Cloud.

COLLABORATION : Be part of our diverse, passionate team, where every voice matters. Work in a company full of well-coordinated people who do their work with passion and commitment.

benefits :

sharing the costs of sports activities

private medical care

sharing the costs of professional training & courses

remote work opportunities

flexible working time

integration events