Senior Data Engineer - financial industry (f/m/x)

Sii Poland; Warszawa; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Centre of internal trainings

Open and accessible management team

Team integration events

Job summary

Sii Poland in Warsaw seeks a Senior Big Data Developer to design and build a modern data platform. You will craft scalable data solutions using Databricks and the Azure ecosystem, and implement end-to-end ETL/ELT pipelines while optimizing data flows across sources.

The role emphasizes working with Delta Tables, AI-assisted development tools, and modern data architectures. A strong English level and curiosity about new technologies are required.

Qualifications

• Minimum 5 years in data engineering or related roles.
• Strong Python and PySpark hands-on experience.
• Experience with Databricks, Delta Tables, and Azure ecosystem.
• English level: advanced.

Responsibilities

• Design and develop data solutions using Databricks, Python, and PySpark.
• Build and optimize batch and streaming ETL/ELT pipelines.
• Implement medallion architecture with Delta Tables.
• Integrate data from multiple sources including SFTP, Delta Tables, and Azure Event Hub.
• Support end-to-end data workflows with Azure Data Factory.
• Leverage AI-powered development tools to improve code quality, testing, and productivity.

Skills

Python

PySpark

English (Advanced)

Tools

Databricks

Delta Tables

Azure Data Factory

Azure Event Hub

Elasticsearch

Job description

We are looking for a Senior Big Data Developer to join our team in building a modern data platform using Databricks and the Microsoft Azure ecosystem. In this role, you will be responsible for designing and developing scalable data solutions, implementing and optimizing ETL/ELT pipelines, and integrating data from multiple sources. If you are passionate about modern data engineering, AI-assisted development, and creating impactful data solutions, don't hesitate to apply!

Your tasks

• Design and develop data solutions using Databricks, Python, and PySpark
• Build and optimize ETL/ELT pipelines for batch and streaming data processing
• Implement and maintain medallion architecture using Delta Tables
• Integrate data from multiple sources, including SFTP files, Delta Tables, and Azure Event Hub
• Work with Azure services such as Azure Data Factory to support end-to-end data workflows
• Utilize AI-powered development tools to improve code quality, testing, documentation, and productivity

Requirements

• At least 5 years of experience in a Data Engineer, Big Data Engineer, or similar role
• Strong hands-on experience with Python and PySpark
• Proven experience with Databricks, Delta Tables, and modern data architectures
• Practical knowledge of the Microsoft Azure ecosystem, including Azure Data Factory and Azure Event Hub
• Experience building and maintaining scalable ETL/ELT pipelines
• Advanced level of English
• Interest in modern technologies and experience using AI-assisted development tools in everyday work

Nice to have

• Familiarity with Elasticsearch
• Strong analytical skills and a proactive approach to solving complex data-related challenges

Job no. JOB-RK4EY

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You

• Great Place to Work
• Solid financial situation
• Contracts with the biggest brands
• Centre of internal trainings
• Many experts you can learn from
• Open and accessible management team
• Profit sharing
• Passion Sponsorship program
• Regular integration events and trips
• Comfortable and well-equipped offices
• MySii app
• Medical care