Data Engineer (EU)

Summary

Andersen is hiring a Data Engineer in the EU for a project building a scalable enterprise data and analytics platform and modernizing financial reporting capabilities.

Our customer is an established financial services provider offering a range of solutions designed to support individuals and organizations with long-term financial planning and investment needs. The company combines industry expertise with modern technology to deliver reliable, customer-focused services and simplify complex financial processes. By continuously developing its digital capabilities and service offerings, the organization aims to improve customer experience, operational efficiency, and accessibility while supporting sustainable long-term financial outcomes.

The project is focused on modernizing retail technology and establishing a secure, scalable, and governed enterprise data and analytics platform. It aims to transform reporting capabilities, integrate key data sources, and support regulatory and operational reporting, advanced analytics, data migration, and future strategic data products.

Responsibilities

• Designing and building scalable data solutions and contributing to the EDAM (Enterprise Data & Analytics Mesh) platform.
• Developing robust ingestion and ETL/ELT pipelines across Sapiens, IRIS, and other enterprise sources using Azure Data Factory, Databricks, Microsoft Fabric, and Azure Data Lake.
• Implementing medallion architecture, reusable engineering patterns, curated datasets, and trusted analytical data products.
• Building data transformation, cleansing, validation, reconciliation, and migration processes with automated data quality checks.
• Collaborating with Analysts, Architects, and Engineering teams to translate requirements into scalable, secure, and production-ready data solutions.
• Supporting regulatory and operational reporting, ensuring data accuracy, completeness, traceability, and performance.
• Implementing monitoring, logging, CI/CD, and engineering automation using Azure DevOps.
• Contributing to data governance, lineage, metadata, security, and enterprise architecture standards.
• Leveraging AI-assisted and agentic AI tools to improve engineering, testing, documentation, and SDLC automation while supporting future AI use cases.
• Participating in technical design, code reviews, troubleshooting, production support, and mentoring engineers.

Requirements

• Commercial experience in Data Engineering for 5+ years.
• 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 working with Azure Data Lake / cloud data storage.
• Strong SQL skills and experience working 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.
• Level of English – from Intermediate+ and above.

Desired skills

• Experience with Microsoft Fabric Data Factory, Lakehouse and/or Fabric Data Engineering.
• Experience with Sapiens or similar core enterprise/business systems.
• Experience supporting migration from legacy reporting platforms to modern cloud data platforms.
• Experience in Retail, Financial Services, Insurance or other regulated industries.
• Experience with regulatory reporting and audit requirements.
• Experience with Data Mesh or enterprise data platform implementations.
• Experience with event-driven or real-time data integration.
• Experience with AI-assisted software engineering or agentic AI solutions.
• Experience integrating AI tooling into requirements, coding, testing, documentation or deployment processes.
• Experience with infrastructure-as-code and cloud automation.
• Experience with Power BI or other enterprise BI/semantic modelling technologies.

Reasons to join us

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and sports compensation, depending on the type of employment.

Join us!

Локації

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