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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on financial data platforms and building a modern cloud-based data ecosystem. Key technologies include Azure Data Factory, Azure Databricks, Azure SQL, ADLS, PySpark, Spark SQL, Python, Scala, Java. Responsibilities cover designing and optimizing scalable data pipelines (batch and real-time), developing ETL and data integration, ensuring data quality and performance, and implementing CI/CD and Agile practices.
from: 30 June 2026
to: 30 July 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:hybrid • full office
Wrocław, Fabryczna
Requirements
Expected technologies
MS Azure Databricks
SQL
Optional technologies
Python
ETL
Apache Spark
IICS (Informatica Intelligent Cloud Services)
Informatica
Our requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- At least 5 years of experience in Data Engineering with a strong ETL background
- Hands-on experience with Azure Data Factory, Azure Databricks, Azure SQL, and ADLS
- Proficiency in Python, Scala, or Java and strong SQL skills
- Experience with big data frameworks, CI/CD, and Agile methodologies, plus strong communication skills
- Very good command in English
- Fluent Polish required
- Residing in Poland required
Your responsibilities
- Design, build, and optimize scalable data pipelines (batch & real-time)
- Develop and maintain ETL processes and integrate data from multiple sources (including migrations)
- Create and manage data structures in Azure SQL and develop Databricks solutions (PySpark, Spark SQL)
- Ensure data quality, governance, and optimize performance (SQL, processing)
- Collaborate with cross-functional teams and implement CI/CD, automation, and Agile best practices
About the project
We are looking for an experienced Senior Data Engineer to join a data team working on global data platforms within the financial services domain.
You will be part of a large-scale transformation initiative aimed at building a modern, cloud-based data ecosystem and enabling the organization to become fully data-driven. The project focuses on developing and maintaining Data Lake solutions, integrating multiple data sources, and delivering high-quality datasets for global analytics use cases.
This is how we work on a project
- Continuous Deployment
- Continuous Integration
What we offer
- Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas
- Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market
- We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022
- Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more
- Comfortable workplace – class A offices or remote work
- Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application
- PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers
- Investment in your growth – meetups, webinars, training platform and technology blog – you choose
- Fantastic atmosphere created by all Sii Power People
Recruitment stages
- 1.Send your CV
- 2.Talk to us about your expectations
- 3.Learn more about our projects and choose the best
- 4.Start your adventure with Sii!
Sii Sp. z o.o.
Sii is the leading technology consulting, digital transformation, engineering, and business services vendor in Poland. We already employ more than 7 300 professionals and implement projects in a variety of industries for clients from many countries around the world. The Great Place to Work title, won 10 times in a row, proves that at Sii, we create a friendly work environment.
Sii ensures that all employment-related decisions are made solely on the basis of qualifications and competencies. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promoting a diverse and inclusive work environment.
This is how we work
Senior Data Engineer – automotive sector (f/m/x)
I apply to:
Sii Sp. z o.o.
Wrocław, Fabryczna
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