Data Engineer (EDAM Data Mesh)

📍 EU (Remote) · 🕘 BST hours · 💼 Full-time · 💰 4200-4700$, B2B employment

🗣 English B1+

VallettaSoftware - custom mobile/web software developer in the US and Europe. Our teams implement IT projects of varying complexity, including website and mobile app development, enterprise systems, and solutions based on artificial intelligence and machine learning (AI/ML).

We are proud to be named as one of the Top 10 Software Development Companies in Q2 2026 by 50Pros|Discover top agencies.

Our thorough approach to every project and deep understanding of Client's needs allow us to manage the outstanding quality.

About the Role

We're hiring a Senior Data Engineer to design, build, and operationalise scalable data solutions on the EDAM enterprise data & analytics mesh platform.

This role is open to candidates based in EU, UK

What you'll do

• Build robust ingestion pipelines from Sapiens, IRIS, and other enterprise sources

• Develop scalable ETL/ELT with Azure Data Factory, Azure Databricks, Microsoft Fabric

• Implement medallion architecture (bronze/silver/gold), reusable patterns, curated datasets, trusted business views

• Own transformation, cleansing, validation, reconciliation, monitoring, logging, operational controls

• Support source-to-target migration, regulatory & operational reporting, governance, lineage, metadata, security, access control

• Contribute to CI/CD & DevOps (Azure DevOps), reusable frameworks, engineering standards

• Use AI-assisted / agentic AI tooling to improve development, testing, docs, delivery

• Participate in design, code reviews, troubleshooting, production support, mentoring

Must-have

• 6+ years commercial Data Engineering

• Enterprise-scale data pipelines & platforms

• Microsoft Azure data services

• Azure Databricks + Apache Spark

• Azure Data Factory

• Microsoft Fabric + modern cloud analytics

• Azure Data Lake (ADLS) or equivalent

• Strong SQL + ETL/ELT

• Medallion architecture + reusable production-ready frameworks

• Data quality, validation, reconciliation, monitoring

• CI/CD & DevOps (Azure DevOps preferred)

• Data governance, metadata, lineage, security, access control

• Agile delivery + strong stakeholder communication

Nice-to-have

• Fabric Data Factory / Lakehouse / Fabric Data Engineering

• Sapiens or similar core enterprise systems

• Legacy reporting migration to cloud

• Retail / FS / Insurance / regulated industries

• Regulatory reporting & audit

• Data Mesh / enterprise data platform implementations

• Event-driven / real-time integration

• AI-assisted engineering / agentic AI

• IaC & cloud automation

• Power BI / semantic modelling

Why Join

• Work on a long-term product with real business impact.

• International, distributed team with a collaborative culture.

• Opportunity to take ownership of a mature application.

• Flexible working conditions and remote work.