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Offer summary
(Summary generated by AI based on the full job description)
The project is a long-term engagement in the financial services domain. Key stack includes Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake and cloud platforms (Azure/AWS/GCP). Main responsibilities cover designing and maintaining scalable ETL/ELT pipelines, optimizing large-scale data processing, implementing Lakehouse architecture, ensuring data quality, security and compliance, and collaborating with data architects and analysts. Required 5+ years in Data Engineering, minimum 3 years with Databricks, and English at C1 level.
Senior Data Engineer (Databricks) – Financial Services
Company: REMODEVS SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
from: 27 October 2026
to: 26 November 2026
24 000 - 29 000 złnet (+ VAT)/ mth.B2B contract (full-time)
Offer parameters
level:senior
working mode:full office
Warszawa, Śródmieście
Requirements
Expected technologies
Databricks
Apache Spark
PyTorch
Python
SQL
Optional technologies
Azure DevOps
Unity 3D
Azure SQL
Our requirements
- 5+ years of commercial experience in Data Engineering.
- Minimum 3 years of hands-on experience with Databricks.
- Strong practical knowledge of Apache Spark and PySpark.
- Advanced SQL and Python programming skills.
- Experience designing and implementing ETL/ELT pipelines.
- Solid understanding of Delta Lake and Lakehouse architecture.
- Experience working with cloud platforms (Azure, AWS, or GCP).
- Knowledge of data modeling, data warehousing, and data integration.
- Experience optimizing data processing performance and managing large datasets.
- English proficiency at C1 level.
Optional
- Previous experience in banking, insurance, or financial services.
- Experience with Azure Databricks and Azure Data Factory.
- Knowledge of Unity Catalog and Databricks Workflows.
- Experience with CI/CD pipelines and Infrastructure as Code.
- Databricks certifications.
- Understanding of data governance, security, and regulatory requirements in financial environments.
Your responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks.
- Build and optimize ETL/ELT processes for large-scale data processing.
- Develop data transformation solutions using PySpark, Python, and SQL.
- Implement and optimize Delta Lake architectures.
- Design and maintain reliable data ingestion and integration processes.
- Improve data quality, performance, and reliability across data platforms.
- Collaborate with Data Architects, Analysts, and business stakeholders to deliver data solutions.
- Ensure data security, governance, and compliance with financial industry standards.
- Troubleshoot and optimize existing data engineering workflows.
About the project
We are looking for an experienced Senior Data Engineer to join a long-term project for a client in the financial services industry. The ideal candidate has strong hands-on experience with Databricks, modern data engineering technologies, and building scalable data solutions in enterprise environments.
Project Details
This is how we organize our work
Team members
data scientist
REMODEVS SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
We’re a dynamic cybersecurity startup, driven by innovation and powered by a team of experts dedicated to safeguarding our clients’ most valuable assets. Our sophisticated management platform integrates a complex network of backend services, APIs, and user interfaces. From customer management to real-time data analysis and planet-scale server orchestration, our platform delivers unparalleled security capabilities.
Senior Data Engineer (Databricks) – Financial Services
24k–29k zł / mth. (B2B)
I apply to:
REMODEVS SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Warszawa, Śródmieście
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