About the 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 deep and meaningful role in accelerating and realizing their vision and strategy.

About the position

We are looking for a Regular Data Engineer to join a new, innovative project for one of our key clients in the insurance industry. You will work in a hybrid model with teammates based in Poland and collaborate with global stakeholders, including direct interaction with business users. This project focuses on building an advanced solution leveraging Large Language Models (LLMs) to scan documents and support automated decision-making processes.

Goals and challenges

Contribute by building a training dataset for document processing and decision support
Design and implement end-to-end data pipelines (ingestion, transformation, storage, and consumption)
Prepare and maintain high-quality training datasets for machine learning models
Work with large-scale data on a modern cloud data platform (Databricks)
Apply best practices in data engineering, testing, and deployment
Collaborate closely with data scientists, engineers, and business stakeholders
Continuously improve performance, reliability, and automation of data workfl

Hard skills we are looking for

Strong experience with Databricks (DBX)
Advanced knowledge of Python (experience with libraries such as Pydantic is a plus; PydanticAI is a strong advantage)
Solid experience in building and optimizing ETL/ELT pipelines
Very good knowledge of SQL and relational databases
Experience with PySpark
Familiarity with dbt is a plus
Experience with Azure Data Services is an advantage
Knowledge of CI/CD practices and tools (e.g. GitHub)
General understanding of infrastructure, orchestration, and IT security principles

Soft Skills & Experience

Proven experience in Data Engineering (Senior level)
Bachelor’s or Master’s degree in a technical field (e.g. Computer Science, Engineering) or equivalent experience
Fluent English (written and spoken)
DevOps mindset (“you build it, you run it”)
Ability to understand complex requirements and translate them into actionable solutions
Strong communication skills and ability to work with cross-functional teams
Attention to detail, especially regarding data quality and business logic
Proactive attitude, ownership, and willingness to learn new technologies
Experience in the insurance domain is a plus

What we offer

Contract under Polish law: B2B or Umowa o Pracę
Benefits such as private medical care, group insurance, Multisport card
There are English classes available
Hybrid work (at least 1 day/week on-site) in Warsaw (Mokotów)
Opportunity to work with excellent professionals
High standards of work and focus on the quality of code
New technologies in use
Continuously learning and growth
International team
Pinball, PlayStation & much more (on-site)

Join a growing team of dedicated professionals!

We love to pass on the knowledge to grow excellence, speak our minds without playing politics, and just enjoy hanging around together. If you share our passions - we want to meet you!

Please include the following statement: “I hereby authorize Webellian Poland Sp. z o.o. to process my personal and store data included in my job application for the needs of following and future recruitment processes (in accordance with the Personnel Protection Act 29.08.1997 no 133 position 883)”.

Data Engineer (DBX, dbt)

Webellian Sp.z o o