Data Engineer with Microsoft Fabric (f/m/x)

Sii Poland

Łódź

On-site

PLN 180,000 - 240,000

Full time

2 days ago
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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 our Data & Analytics Competence Center. You will implement Microsoft Fabric-based solutions, design modern data platforms, and enable advanced analytics and reporting.

Responsibilities include building scalable data pipelines, modeling data for finance, manufacturing, and sales domains, and mentoring junior engineers. Strong Azure Fabric, PySpark, and SQL skills are essential, with Polish language fluency and Poland residency required.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 5+ years of experience in Azure data engineering and data platforms.
  • Proven expertise in Microsoft Fabric implementation projects.
  • Advanced Python and SQL programming skills.
  • Proficiency with Fabric, PySpark, Azure DWH/ADF/Data Lake/SQL, and related tools.
  • Familiarity with CI/CD pipelines using Azure DevOps.
  • Knowledge of networking, security, identity management, and serverless computing in Azure.
  • Scripting/automation experience with PowerShell or ARM templates.
  • Strong problem-solving and cross-functional collaboration skills.
  • Fluent Polish; residing in Poland.

Responsibilities

  • Develop, deploy, and maintain data solutions on an enterprise platform for reporting and analytics.
  • Work with structured data across financial, manufacturing, procurement, and sales domains.
  • Design scalable, robust data solutions on Azure using Fabric and related services.
  • 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 Azure architecture.
  • Provide ongoing support for data-related issues and troubleshooting.
  • Collaborate with cross-functional teams to align data solutions with business goals.
  • Mentor junior engineers and promote collaborative learning.
  • Stay up to date with Azure tech advances and best practices.

Skills

Polish language proficiency
Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Microsoft Fabric
PySpark
Azure DWH
Azure Data Factory
Azure Data Lake
Azure SQL Database
CI/CD with Azure DevOps
PowerShell
ARM templates

Job description

We are looking for an experienced Data Engineer with Microsoft Fabric to join our Data & Analytics Competence Center - a specialized unit bringing together top experts in data engineering, data processing, analytics, and cloud technologies.

This role is dedicated to implementation projects based on Microsoft Fabric, where you will play a key part in designing and building modern data platforms, integrating enterprise data sources, and enabling advanced analytics and reporting.

Your tasks
  • 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
Requirements
  • 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
Nice to have
  • Good experience in extracting data from various ERP systems (e.g., Oracle Fusion) and API-related development
  • Azure certifications

Job no. JOB-8BGPT

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
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