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    Senior Data Engineer SQL (rfx1557530)

    Until 31.01.2027 with option of extension Luxembourg
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    All opportunities
    Employment type Contract
    Industry Banking
    Area IT
    Location Luxembourg
    Remote from abroad? No
    Home office? Flexible
    Contract duration Until 31.01.2027 with option of extension
    01
    Tasks and responsibilities
    • Develop and optimize complex SQL transformations supporting analytics, reporting, and financial/regulatory needs
    • Work with and contribute to existing enterprise data models (Data Vault, dimensional, 3NF, domain driven structures)
    • Ensure SQL logic is performant, maintainable, and aligned with modelling standards
    • Implement and maintain data quality checks, validation rules, and SQL testing
    • Maintain clear documentation, lineage, and metadata to support transparency and governance
    • Support reduction of architectural debt and help maintain a clean, consistent data environment
    • Build and maintain SQL centric ETL/ELT data pipelines
    • Use Python where beneficial for automation, API integration, or workflow efficiency
    • Implement ingestion patterns for batch, incremental, and near real time data flows
    • Ensure monitoring, observability, and reliable operation of data workflows
    • Structuring SQL datasets optimised for BI consumption
    • Supporting data preparation, extract logic, and backend performance
    • Assisting dashboard/report designers with troubleshooting, prototyping, and governance
    • Partner with finance, risk, compliance, and business teams to translate requirements into high quality data solutions
    • Work closely with data architects to ensure alignment with modelling standards
    • Support troubleshooting across ingestion, modelling, and operational processes
    • Contribute to platform evolution, engineering improvements, and roadmap initiatives
    • Communicate effectively with both technical and business stakeholders
    • Collaborate with platform and infrastructure teams to operate SQL workloads reliably in production
    • Apply engineering best practices: version control, documentation, testing, code quality
    02
    Must-have criteria
    • Expert level SQL (complex queries, tuning, optimisation)
    • Experience working with and extending established data models (Data Vault, dimensional, SCD, 3NF)
    • Strong experience developing scalable SQL driven transformations
    • Commitment to building reliable, maintainable, and well tested data solutions
    • Strong focus on quality, monitoring, reliability, and automation
    • Ownership mentality across the data lifecycle
    • Ability to refine requirements and collaborate with technical and business teams
    • Creative, proactive, and improvement oriented approach
    • Bachelor’s or Master’s degree in a relevant field
    • 5+ years in data engineering or SQL heavy backend roles
    • Proven experience working with structured enterprise data models
    • Strong communication and stakeholder engagement abilities
    • Analytical, detail oriented, and proactive problem solver
    • Comfortable in agile, iterative delivery environments
    03
    Nice-to-have criteria
    • Python is a strong plus for automation, API integrations, and workflow enhancement
    • Experience with Tableau, Power BI, or other BI tools is a strong plus
    • Experience working in banking, financial services, or regulated environments is a strong advantage
    • Experience in finance or banking is a strong advantage
    • German/French is an advantage
    • Experience with Temenos T24/Transact, Temenos Triple'A, or similar core banking platforms is an advantage
    04
    Contract duration
    • Until 31.01.2027  with option of extension
    05
    Language requirements
    • English Business fluent, native language (C1/2)
    06
    Application form