(Senior) Data Engineer - Microsoft Fabric | Azure
Employer · SoftwareOne
Database administrator
Software developerSystems analystFull-timeTransportMealsBudapest
As Data Engineer you'll be part of our Data & AI practice, and join a team of experienced data, cloud, security, and AI specialists who design and deliver enterprise-scale solutions for customers across multiple industries. This is an opportunity to play a key role in building data platforms powered by Microsoft Fabric and Azure.
Tasks
- Design and implement modern data solutions using Microsoft Fabric and Azure services.
- Build scalable data pipelines, lakehouse and warehouse solutions that support analytics and business reporting.
- Develop data transformations and data products using SQL, Python, and PySpark.
- Design reusable data models and contribute to enterprise data platform architecture.
- Collaborate with technical and business stakeholders to translate requirements into robust solutions.
- Support technical workshops, solution proposals, knowledge sharing, and mentoring within the team.
Conditions & benefits
Global Company CultureWe defined our 6 core values through our company cultureTraining programsAccess to Microsoft, Databricks, and cloud training and certification programs.Structured OnboardingA mentor who supports your successful start and is at your side with advice and actionHome Office AllowanceMonthly financial support for your remote working days.Cafeteria PackageCafeteria Package (including SZÉP card)Commuting SupportIf you live outside Budapest, we cover commuting costs to the office and client locations.Health & WellbeingPrivate Medicover health insurance and additional health fund contribution.Work-Life HarmonyExtra day off for your birthday and additional company-specific days off.
Requirements
- Strong experience designing and delivering cloud-based data engineering solutions.
- Hands-on experience with Microsoft Fabric and Azure data technologies.
- Strong SQL skills and practical experience with Python and/or PySpark.
- Knowledge of lakehouse, data warehouse, and modern data architecture concepts.
- Experience building data integration, ETL, or ELT solutions across multiple data sources.
- Strong communication skills and the ability to work effectively with customers and internal teams.