Lead Data Engineer (AI)

Location: Remote, hybrid, or office-based work is available from the listed European countries: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, the Netherlands, and the United Kingdom.

Salary: EUR 2,800–4,550 gross per month. Final compensation depends on experience, location, and professional growth.

Company

hirify.global is an outsourcing and technology company delivering software engineering and data solutions for clients in financial services, healthcare, retail, telecommunications, and other industries.

What you will do

• Lead the design, development, and operation of scalable data engineering solutions for the Sunrise programme.
• Design greenfield data ingestion and ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Apache Spark, Microsoft Fabric, and Azure Data Lake.
• Build curated datasets, analytical data products, trusted business views, and reporting feeds for regulatory and operational use cases.
• Implement medallion architecture, Data Vault and Kimball modeling patterns, data quality controls, reconciliation, monitoring, logging, and operational safeguards.
• Collaborate with architects, the Principal Data Engineer, Business Analysts, Data Analysts, and engineering teams to deliver production-ready solutions.
• Set engineering standards, mentor engineers, contribute to CI/CD and DevOps practices, and explore AI-enabled data engineering and SDLC automation.

Requirements

• 6+ years of commercial data engineering experience, including enterprise-scale data platforms and greenfield framework design.
• Strong hands-on experience with Azure data services, Azure Databricks, Apache Spark, Azure Data Factory, Microsoft Fabric, Azure Data Lake, SQL, and ETL/ELT integration patterns.
• Strong Azure DevOps experience, including YAML pipelines and CI/CD pipeline design.
• Knowledge of medallion architecture, Data Vault, Kimball dimensional modeling, data quality, validation, reconciliation, monitoring, governance, lineage, metadata, security, and access control.
• Experience working with Agile teams and technical stakeholders across architecture, analysis, and engineering functions.
• English at Intermediate level or higher is required. An associate certification is strongly preferred.

Nice to have

• Experience with Fabric Data Factory, Lakehouse, Fabric Data Engineering, Sapiens, or similar enterprise systems.
• Background in retail, financial services, insurance, regulated industries, regulatory reporting, or audit requirements.
• Experience with Data Mesh, event-driven or real-time integration, Power BI, infrastructure-as-code, or cloud automation.
• Experience with AI-assisted software engineering, agentic AI, or integrating AI tools into development and deployment processes.

Culture & Benefits

• Work with leaders and clients across FinTech, healthcare, retail, telecommunications, and other sectors.
• Opportunities for professional, financial, and career growth with mentoring and onboarding support.
• Access to a continuously updated corporate training portal and certification compensation.
• Private health insurance and sports compensation, depending on employment type.
• Corporate events, referral programme, and additional annual-bonus earnings of up to EUR 1,000 per month based on expertise and participation.