data engineer enterprise data platforms

Andersen is building a scalable enterprise data and analytics platform for an established financial services provider. The customer supports individuals and organizations with long-term financial planning and investment needs, while modernizing retail technology, reporting capabilities, data integration, analytics, migration, and future strategic data products.

• Design and build scalable data solutions for the EDAM platform;
• Develop ingestion and ETL/ELT pipelines across Sapiens, IRIS, and other enterprise sources;
• Implement medallion architecture, reusable engineering patterns, curated datasets, and trusted analytical data products;
• Build data transformation, cleansing, validation, reconciliation, and migration processes with automated data quality checks;
• Collaborate with Analysts, Architects, and Engineering teams to translate requirements into scalable, secure, and production-ready data solutions;
• Support regulatory and operational reporting while ensuring data 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 improve engineering, testing, documentation, and SDLC automation;
• Support future AI use cases;
• Participate in technical design, code reviews, troubleshooting, production support, and mentoring engineers.

• 5+ Years of commercial experience in Data Engineering;
• Strong hands-on experience designing and developing enterprise-scale data pipelines and data platforms;
• Strong experience with Microsoft Azure data services;
• Advanced hands-on experience with Azure Databricks and Apache Spark;
• Strong experience with Azure Data Factory;
• Practical experience with Microsoft Fabric and modern cloud analytics platforms;
• Experience with Azure Data Lake and cloud data storage;
• Strong SQL skills and experience with relational and analytical data;
• Experience with ETL/ELT development and data integration patterns;
• Strong understanding of medallion architecture and modern data platform design;
• Experience designing scalable, reusable, and production-ready data engineering frameworks;
• Experience with data quality, validation, reconciliation, and monitoring;
• Experience with CI/CD and DevOps practices, preferably using Azure DevOps;
• Understanding of data governance, metadata, lineage, security, and access control;
• Experience working in Agile delivery environments;
• Strong problem-solving and analytical skills;
• Ability to work effectively with Business Analysts, Architects, Data Analysts, and other technical stakeholders;
• Intermediate+ English or above;
• Nice to have: Experience with Microsoft Fabric Data Factory, Lakehouse, and/or Fabric Data Engineering, Sapiens or similar core enterprise/business systems, migration from legacy reporting platforms to modern cloud data platforms, Retail, Financial Services, Insurance, or other regulated industries, regulatory reporting and audit requirements, Data Mesh or enterprise data platform implementations, event-driven or real-time data integration, AI-assisted software engineering or agentic AI solutions, integrating AI tooling into requirements, coding, testing, documentation, or deployment processes, infrastructure-as-code and cloud automation, Power BI or other enterprise BI/semantic modelling technologies.

• Professional, financial, and career growth opportunities;
• Mentoring and onboarding systems for each new employee;
• Up to an additional 1,000 EUR per month depending on expertise, included in the annual bonus;
• Corporate training portal;
• Certification compensation, including AWS and PMP;
• Private health insurance and sports compensation, depending on the type of employment;
• Offices are available across multiple European countries.