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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building an advanced solution in the insurance domain using Large Language Models (LLMs) for document scanning and automated decision support. Key technologies include Databricks (DBX), Python, PySpark, SQL and Azure cloud. Responsibilities cover designing and implementing ETL/ELT pipelines, preparing training datasets, and collaborating with data scientists and business stakeholders. The role emphasizes data quality and process optimization.
from: 26 June 2026
to: 26 July 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:mid
working mode:hybrid
Warszawa, Mokotów
Requirements
Expected technologies
Python
SQL
PySpark
Optional technologies
dbt
GitHub
Operating system
Windows
Our requirements
- 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
- Proven experience in Data Engineering (Regular 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
Optional
- Familiarity with dbt
- Experience with Azure Data Services
- Experience in the insurance domain
Your responsibilities
- 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 workflow
About the project
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.
This is how we organize our work
This is how we work
agile
This is how we work on a project
- Continuous Deployment
- Continuous Integration
- issue tracking tools
- testing environments
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! So go ahead and apply.
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)
Benefits
- sharing the costs of sports activities
- private medical care
- life insurance
- remote work opportunities
- fruits
- video games at work
- coffee / tea
- drinks
- parking space for employees
- leisure zone
- Pinball, PlayStation & much more
- English classes
Recruitment stages
- 1.📞A quick phone call with our Recruiter.
- 2.📅Online technical interview, testing your skills.
- 3.📅II face-to-face interview with your potential supervisor.
- 4.🗒️Feedback.
Webellian Sp. z o.o.
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.
This is how we work
Data Engineer (DBX,dbt), Regular
I apply to:
Webellian Sp. z o.o.
Warszawa, Mokotów
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