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

Sii Poland

Warszawa

On-site

PLN 210,000 - 270,000

Full time

14 days+

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Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Internal trainings

Open management

Job summary

Sii Poland is seeking a Senior Big Data Developer in Warsaw to design and build a modern data platform. You will implement scalable data solutions using Databricks, Python, and PySpark, and optimize ETL/ELT pipelines across batch and streaming data.

The role requires strong Databricks experience, Delta Tables proficiency, and Azure Data Factory knowledge, with advanced English and a passion for AI-assisted development tools.

Qualifications

5+ years of experience in data engineering or related roles.
Strong Python and PySpark expertise.
Experience with Databricks, Delta Tables, and modern data architectures.
Hands-on knowledge of Azure data services including Data Factory and Event Hub.
Experience building scalable ETL/ELT pipelines.
Advanced English proficiency.
Interest in AI-assisted development tools.

Responsibilities

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

Skills

Python

PySpark

ETL/ELT pipelines

Data engineering

AI-assisted development tools

English

Tools

Databricks

Delta Tables

Azure Data Factory

Azure Event Hub

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-VKXJB

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.

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