Data Engineer

Quick Facts

• Role: Data Engineer (EU project)

• Focus: Enterprise data & analytics platform modernization and regulated reporting enablement

Description

You will design and build scalable, governed data solutions for a modern enterprise data and analytics mesh, supporting ingestion/ETL/ELT, transformations, data quality, migration, and reporting (regulatory and operational). Work across key Azure analytics services to implement medallion architecture and trusted analytical data products, with monitoring, logging, CI/CD, and DevOps automation. You will also contribute to data governance, lineage, metadata, security, and future AI-assisted engineering workflows.

Responsibilities

• Design and build scalable data solutions for an EDAM (Enterprise Data & Analytics Mesh) platform
• Develop robust ingestion and ETL/ELT pipelines across enterprise sources (e.g., Sapiens, IRIS)
• Implement medallion architecture, reusable engineering patterns, curated datasets, and trusted analytical data products
• Build transformation, cleansing, validation, reconciliation, and migration processes with automated data quality checks
• Collaborate with analysts, architects, and engineering teams to deliver secure, production-ready data solutions
• Support regulatory and operational reporting with accuracy, completeness, traceability, and performance
• Implement monitoring, logging, CI/CD, and engineering automation using Azure DevOps
• Contribute to data governance, lineage, metadata, security, and enterprise architecture standards
• Use AI-assisted and agentic AI tools to enhance engineering, testing, documentation, and SDLC automation
• Participate in technical design, code reviews, troubleshooting, production support, and mentoring

Benefits

• Fully remote, office, or hybrid work options
• Professional and financial career growth; onboarding mentoring
• Additional bonus up to €1,000/month based on expertise
• Access to a corporate training portal
• Certification compensation (e.g., AWS, PMP)
• Referral program
• Private health insurance and sports compensation (depending on employment type)

Requirements

• 5+ years of commercial Data Engineering experience
• Enterprise-scale data pipeline and platform development experience
• Strong Azure data services experience
• Advanced hands-on experience with Azure Databricks and Apache Spark
• Strong Azure Data Factory experience
• Practical experience with Microsoft Fabric and modern cloud analytics platforms
• Experience with Azure Data Lake / cloud data storage
• Strong SQL skills for relational and analytical data
• ETL/ELT development and data integration patterns experience
• Medallion architecture and modern data platform design knowledge
• Scalable, reusable, production-ready data engineering frameworks experience
• Data quality, validation, reconciliation, and monitoring experience
• CI/CD and DevOps practices experience (preferably Azure DevOps)
• Data governance, metadata, lineage, security, and access control understanding
• Agile delivery experience
• Intermediate+ English proficiency
• Ability to work with business analysts, architects, data analysts, and technical stakeholders