Senior Data Engineer
THERMAL CERAMICS Polska Sp. z o.o.
⚲ Katowice
Do uzgodnienia
Wymagania
- Azure SQL
- Python
- SQL
Opis stanowiska
Nasze wymagania:
You'll bring a mix of technical depth, practical problem solving and the ability to work with people at all levels of the organisation.
Ideally, you'll have:
At least six years of data engineering experience, with significant exposure to Azure cloud technologies
Hands-on experience delivering production solutions using Microsoft Fabric
A track record of migrating Azure Synapse and Azure Data Factory workloads into Fabric environments
Strong Python and SQL development skills
Experience working with Apache Spark and PySpark at scale
Good knowledge of Azure Synapse Analytics, including SQL and Spark workloads
Experience designing dimensional models and lakehouse architectures
Strong understanding of source control, DevOps and CI/CD practices
Previous experience mentoring, coaching or managing engineers
The ability to explain technical concepts clearly to non-technical audiences
Professional working proficiency in English
Mile widziane:
Model Context Protocol (MCP), AI agents, vector databases or retrieval-augmented generation (RAG) solutions
dbt or similar transformation-as-code tools
Terraform or Bicep
Microsoft Purview
Manufacturing, engineering or industrial data environments
Microsoft data certifications such as DP-203 or DP-600
Scala
O projekcie:
We're investing heavily in our global data platform and building a team that can turn ambition into reality. This role is a key part of that journey. You'll help shape and scale our data platform, modernise existing solutions, and make trusted data available across the business, including for emerging AI use cases.
Zakres obowiązków:
Design, build and maintain scalable data pipelines across Microsoft Fabric, including Lakehouse, Warehouse, OneLake and Fabric Data Factory
Lead the migration of existing Azure Synapse and Azure Data Factory solutions into Fabric while keeping reporting and analytics services running smoothly
Develop and optimise dimensional and medallion-layer data models to support business reporting and analytics
Build and support data interfaces that enable AI tools and services to access governed enterprise data securely
Write and maintain production-quality Python, PySpark and SQL code
Implement CI/CD, source control, automated testing and monitoring practices across data engineering assets
Apply data governance and security controls using tools such as Microsoft Purview and Microsoft Entra ID
Monitor and optimise Fabric capacity utilisation, balancing performance with cost efficiency
Maintain clear technical documentation, architecture decisions and operational runbooks
Mentor and support junior engineers, provide technical leadership and act as an escalation point for complex data engineering challenges
Collaborate with architects, analysts and business stakeholders to ensure the platform meets current and future needs
Oferujemy:
The opportunity to help build and shape a modern global data platform from the ground up
Exposure to large-scale Microsoft Fabric and Azure technologies
A genuine opportunity to influence architecture, standards and engineering practices
A collaborative international environment where data is becoming central to business strategy
Opportunities to mentor others and grow your leadership capability
Competitive salary and benefits package
You'll bring a mix of technical depth, practical problem solving and the ability to work with people at all levels of the organisation.
Ideally, you'll have:
At least six years of data engineering experience, with significant exposure to Azure cloud technologies
Hands-on experience delivering production solutions using Microsoft Fabric
A track record of migrating Azure Synapse and Azure Data Factory workloads into Fabric environments
Strong Python and SQL development skills
Experience working with Apache Spark and PySpark at scale
Good knowledge of Azure Synapse Analytics, including SQL and Spark workloads
Experience designing dimensional models and lakehouse architectures
Strong understanding of source control, DevOps and CI/CD practices
Previous experience mentoring, coaching or managing engineers
The ability to explain technical concepts clearly to non-technical audiences
Professional working proficiency in English
Mile widziane:
Model Context Protocol (MCP), AI agents, vector databases or retrieval-augmented generation (RAG) solutions
dbt or similar transformation-as-code tools
Terraform or Bicep
Microsoft Purview
Manufacturing, engineering or industrial data environments
Microsoft data certifications such as DP-203 or DP-600
Scala
O projekcie:
We're investing heavily in our global data platform and building a team that can turn ambition into reality. This role is a key part of that journey. You'll help shape and scale our data platform, modernise existing solutions, and make trusted data available across the business, including for emerging AI use cases.
Zakres obowiązków:
Design, build and maintain scalable data pipelines across Microsoft Fabric, including Lakehouse, Warehouse, OneLake and Fabric Data Factory
Lead the migration of existing Azure Synapse and Azure Data Factory solutions into Fabric while keeping reporting and analytics services running smoothly
Develop and optimise dimensional and medallion-layer data models to support business reporting and analytics
Build and support data interfaces that enable AI tools and services to access governed enterprise data securely
Write and maintain production-quality Python, PySpark and SQL code
Implement CI/CD, source control, automated testing and monitoring practices across data engineering assets
Apply data governance and security controls using tools such as Microsoft Purview and Microsoft Entra ID
Monitor and optimise Fabric capacity utilisation, balancing performance with cost efficiency
Maintain clear technical documentation, architecture decisions and operational runbooks
Mentor and support junior engineers, provide technical leadership and act as an escalation point for complex data engineering challenges
Collaborate with architects, analysts and business stakeholders to ensure the platform meets current and future needs
Oferujemy:
The opportunity to help build and shape a modern global data platform from the ground up
Exposure to large-scale Microsoft Fabric and Azure technologies
A genuine opportunity to influence architecture, standards and engineering practices
A collaborative international environment where data is becoming central to business strategy
Opportunities to mentor others and grow your leadership capability
Competitive salary and benefits package
🔍 Dekoder Ogłoszenia
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significant exposure to Azure cloud technologies
Może oznaczać jedynie powierzchowne doświadczenie z technologiami Azure, a nie głęboką wiedzę ekspercką.
🔴
Hands-on experience delivering production solutions using Microsoft Fabric
Microsoft Fabric jest stosunkowo nowym produktem, więc 'hands-on experience' może oznaczać pierwsze kroki i uczenie się w trakcie pracy.
🔴
A track record of migrating Azure Synapse and Azure Data Factory workloads into Fabric environments
Migracja może być skomplikowana i czasochłonna, a sukces zależy od wielu czynników, nie tylko od umiejętności inżyniera.
🔴
Experience designing dimensional models and lakehouse architectures
Może oznaczać projektowanie prostych modeli, a nie złożonych i skalowalnych architektur.