Data Engineer (DBX, dbt), Junior

Project overview

About Webellian

Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing.

Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a meaningful role in accelerating and realizing their vision and strategy.

About the position

The project focuses on building a Central Data Platform for one of the world's largest insurance companies. It involves over 80 specialists working across multiple teams to deliver valuable insights from integrated data.

Our technology stack includes Databricks, dbt, dltHub, Power BI, GitHub, and Terraform, all hosted in Microsoft Azure Cloud.

As a Junior Data Engineer, you will support the development, maintenance, and improvement of data pipelines and ETL processes, working closely with experienced Data Engineers and other team members.

You will have the opportunity to gain hands-on experience with modern cloud technologies, large-scale data processing, and LLM-based tools. We are also exploring innovative approaches to data consumption using Genie Spaces and Ontology.

Goals and challenges

Hard skills we are looking for

Soft Skills & Experience

What we offer

Join a growing team of dedicated professionals!

We love sharing knowledge, helping each other grow, speaking our minds without playing politics, and simply enjoying working together.

If you're passionate about data, eager to learn, and looking for an opportunity to develop your career in Data Engineering, we'd love to meet you!

• Support the development and maintenance of data pipelines (data ingestion, transformation, and storage).
• Assist in preparing and maintaining high-quality datasets for machine learning and document processing.
• Work with data using Python, SQL, and Databricks.
• Support data quality checks, testing, and troubleshooting.
• Learn and apply best practices in data engineering, version control, and deployment.
• Collaborate with experienced Data Engineers, Data Scientists, and other team members.
• Contribute to improving the reliability and efficiency of data workflows.
• Continuously develop your technical skills while working with modern cloud technologies.
• Good knowledge of Python and basic experience with data processing libraries.
• Good understanding of SQL and relational databases.
• Basic understanding of ETL/ELT processes and data pipelines.
• Familiarity with Databricks or similar data processing platforms is a plus.
• Basic knowledge of PySpark or Apache Spark is an advantage.
• Familiarity with Git and version control practices.
• Basic understanding of cloud technologies, preferably Microsoft Azure.
• Familiarity with dbt, Pydantic, or CI/CD practices is a plus.
• Basic understanding of data quality, testing, and data transformation concepts.
• Some practical experience in data engineering, software development, or data-related projects (including internships, university projects, or personal projects).
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or currently pursuing a relevant degree.
• Good command of English, both written and spoken.
• Willingness to learn and develop technical skills.
• Analytical thinking and problem-solving abilities.
• Attention to detail, especially when working with data.
• Good communication skills and ability to collaborate with a team.
• Proactive attitude and openness to feedback.
• Interest in modern data technologies, cloud platforms, and AI/ML solutions.
• Willingness to take responsibility for assigned tasks with support from more experienced colleagues.
• Contract under Polish law: B2B or Umowa o Pracę.
• Benefits such as private medical care, group insurance, and Multisport card.
• English classes.
• Hybrid work (at least 1 day every 2 months on-site) in Warsaw (Mokotów).
• Opportunity to learn from experienced Data Engineers and other IT professionals.
• Hands-on experience with modern data engineering and cloud technologies.
• High standards of work and a strong focus on code quality.
• Opportunities for continuous learning and professional growth.
• International team and collaborative work environment.
• Pinball, PlayStation & much more (on-site).

Project details

• Start: flexible
• Remote: hybrid
• Location: Warszawa, Domaniewska 45, PL