We’re looking for a Data Engineer to provide support to our Client – a leading company in the Enterprise Performance Management (EPM) sector. Their software solution empowers Finance, Sales, and other departments to budget, forecast, and analyze data – all in one intuitive platform.
As a Data Engineer, you will be responsible for designing, developing, and operating the enterprise data platform that transforms fragmented enterprise data into a single, trusted source of organizational intelligence.
Responsibilities:
- Develop the enterprise data platform: build a scalable Microsoft Fabric data infrastructure using a lakehouse architecture with Delta Lake
- Develop and operate data pipelines: create robust batch and streaming ETL/ELT pipelines with schema evolution, automated transformation, and strong data quality validation
- Integrate enterprise systems: connect to data sources such as SharePoint, Salesforce, Microsoft 365, Azure SQL, ERP/CRM systems, file repositories, and REST APIs
- Ensure performance and reliability: optimize storage and processing across structured and unstructured data, including monitoring, alerting, and operational stability
- Build semantic data layers & governance: establish a taxonomy and metadata standards, as well as semantic models and data cataloguing and lineage tracking; enforce access control, compliance, and security
- Drive AI readiness: prepare data for AI use cases through document chunking, embedding pipelines, and vector-ready datasets for RAG
- Expose knowledge services & collaborate: develop reusable APIs and data services for AI applications and work cross-functionally with AI, Analytics, and Business teams
Requirements:
- 4+ years in data engineering, including 1+ years in building enterprise-scale cloud platforms, with proven greenfield architecture and AI/ML data preparation experience
- Experience in Python and SQL, and hands-on experience with Spark, Microsoft Fabric, Azure Data Platform, and Delta Lake
- Experience in ETL/ELT, data modelling, and warehousing
- Experience in integrating enterprise systems (e.g., Salesforce, SharePoint, MS 365, Azure SQL / Data Lake) and working with REST APIs and modern data architectures
- Solid understanding of metadata management, master data management, and semantic modeling
- Experience in supporting AI/ML workloads and preparing data for model consumption
- Growth-orientation, proactivity, and focus on innovation, along with execution excellence and ability to build impactful, scalable data solutions
- Ability to work in a cross-functional team
- Good communication and presentation skills
- English level – Upper-Intermediate or higher
Will be a plus:
- Certifications in Azure/Fabric or/and experience with Purview, Synapse, Data Mesh, graph/vector databases, Azure AI Search, or event streaming
We offer:
- Remote-first work model with flexible working hours (we provide all equipment)
- Comfortable and fully equipped offices in Lviv and Rzeszów
- Competitive compensation with regular performance reviews
- Referral Bonus Program
- 18 paid vacation days per year
- 12 days of paid sick leave per year
- Extra paid leave (blood donation, marriage, childbirth, etc.)
- Health & wellness support: either a monthly budget for medical insurance and sports activities, or a full medical insurance plan, depending on your cooperation model
- Mental Health Program – company-covered psychologist consultations, with an annual coverage limit
- English, German, and Polish language courses and Speaking Clubs
- Corporate merch gifts for your special dates
- Corporate subscription to learning platforms, regular meetups and webinars
- Friendly team that values accountability, innovation, teamwork, and customer satisfaction
- Maternity leave
- Inclusive environment where everyone feels valued and treated equally. We proudly partner with VeteranHub to support Ukrainian veterans
- We are committed to supporting Ukraine and actively participate in charity initiatives