Senior Data Engineer: Microsoft Fabric & Azure Data Platform

Sii Poland

Województwo wielkopolskie

On-site

PLN 190,000 - 270,000

Full time

13 hours ago

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Benefits offered by this job

Great Place to Work

Centre of internal trainings

Profit sharing

Regular integration events and trips

Job summary

Sii Poland is seeking an experienced Data Engineer to join our Data & Analytics Competence Center and lead Microsoft Fabric based data projects. You will design, implement, and maintain enterprise data platforms, integrating diverse enterprise sources and enabling advanced analytics and reporting.

Focus on Azure Data Factory, Data Lake, Databricks, and SQL based data models, while collaborating with cross-functional teams.

Qualifications

Bachelor’s degree in Computer Science or related field.
At least 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 consistent data availability for reporting, application, and analytical use cases.
Work primarily with structured data, including financial, manufacturing, procurement, sales & marketing, pricing, and so on.
Design and implement scalable, robust, and secure data solutions on Azure, leveraging Microsoft Fabric, Data Lake, Databricks, ETL/ELT processes, and other data processing tools.
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 are maintained across the Azure architecture.
Provide ongoing support for data-related issues and troubleshoot problems promptly.
Collaborate with cross-functional teams to define and implement data solutions that align with business goals.
Mentor and guide junior engineers, fostering a collaborative learning environment.
Stay up to date with the latest advancements in Azure technologies and best practices.