Senior Data Engineer - Microsoft Fabric on Azure

Sii Poland

Szczecin

On-site

PLN 150,000 - 260,000

Full time

37 hours ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

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

Job summary

Sii Poland is seeking an experienced Data Engineer to join its Data & Analytics Competence Center. You will design and build modern data platforms on Microsoft Fabric, integrating enterprise data sources for advanced analytics and reporting.

The role emphasizes Azure-based data solutions, data modeling, security, and collaboration with cross-functional teams. 5+ years of Azure data engineering experience and Polish residency are required.

Qualifications

Bachelor’s degree in Computer Science or related field.
5+ years of experience in Azure data engineering and data platform.
Proven expertise in Microsoft Fabric implementation projects.
Advanced programming skills in Python and SQL.
Proficiency in Microsoft Fabric, PySpark, Azure DWH, Azure Data Factory, Azure Data Lake, Azure SQL Database, etc.
Familiarity with CI/CD pipelines using Azure DevOps.
Knowledge of networking, security, identity management, and serverless computing in Azure.
Experience in scripting and automation using PowerShell, ARM templates, or similar tools.
Excellent problem-solving skills and ability to troubleshoot complex issues.
Strong communication skills, with the ability to collaborate effectively with cross-functional teams.
Fluent Polish required.
Residing in Poland required.

Responsibilities

Develop, deploy, and maintain data solutions on an enterprise-level platform designed to ensure data availability for reporting, application, and analytical use cases.
Work primarily with structured data across financial, manufacturing, procurement, sales & marketing, pricing domains.
Design and implement scalable, robust, and secure data solutions on Azure using Fabric, Data Lake, Databricks, ETL/ELT.
Create and maintain efficient data models and schemas to support business needs.
Optimize data solutions for performance, scalability, and cost-efficiency.
Ensure security best practices and compliance across the Azure architecture.
Provide ongoing support for data-related issues and troubleshoot problems promptly.
Collaborate with cross-functional teams to align data solutions with business goals.
Mentor and guide junior engineers, fostering a collaborative learning environment.
Stay up to date with the latest Azure technologies and best practices.