Data Engineer in the EU
Tech Stack / Keywords
Firma i stanowisko
Our customer is an established financial services provider offering solutions for 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. The project focuses on modernizing retail technology by establishing a secure, scalable, and governed enterprise data and analytics platform that supports regulatory and operational reporting, advanced analytics, data migration, and future strategic data products.
Wymagania
- 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 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.
- Level of English – from Intermediate+ and above.
Nice to have:
- 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.
Obowiązki
- Designing and building scalable data solutions and contributing to the EDAM (Enterprise Data & Analytics Mesh) platform.
- Developing 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.
Benefity
- Opportunity to work with leaders in FinTech, Healthcare, Retail, Telecom, and others.
- Possibility to change projects and develop expertise in various business domains.
- Flexible job conditions: fully remote, office-based, or hybrid.
- Mentoring and adaptation systems for new employees.
- Opportunity to earn up to an additional 1,000 EUR per month as part of the annual bonus.
- Access to a corporate training portal with an extensive and updated knowledge base.
- Corporate events and social activities (parties, pizza days, PlayStation, fruits, coffee, snacks, movies).
- Certification compensation (e.g., AWS, PMP).
- Referral program.
- Private health insurance and sport compensation, depending on the employment type.
Inne informacje
Informujemy, że administratorem danych jest Andersen Soft UAB z siedzibą w Krakow, ul. Al. Pokoju 18, 31 - 564 dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją.
Andersen
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