Senior Data Engineer SQL rfx1587627
Contract until 31/01/2027 with possibility of extension
Luxembourg
Employment type
Contract
Industry
Banking
Area
IT
Location
Luxembourg
Remote from abroad?
No
Home office?
40%
Contract duration
Contract until 31/01/2027 with possibility of extension
01
Tasks and responsibilities
- Develop and optimise 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 Bl 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
- 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.
- Hands-on experience with Data Vault (Data Vault 2.0 preferred), including design, implementation, and maintenance of enterprise-scale Data Vault solutions.
- Strong experience with dbt (Data Build Tool), including development, testing, documentation, and deployment of data transformation pipelines.
- Expert-level SQL skills, including complex query development, performance tuning, and optimisation.
- Strong experience developing scalable SQL-driven data transformations and ELT/ETL pipelines.
- Experience working with and extending enterprise data models, including dimensional modeling, SCDs, and 3NF architectures.
- 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.
- Strong communication and stakeholder engagement abilities.
- Analytical, detail oriented, and proactive problem solver.
- Comfortable in agile, iterative delivery environments.
03
Nice-to-have criteria
- German/French language skills are an advantage.
- Experience with Temenos T24/Transact, Temenos Triple'A, or similar core banking platforms is an advantage.
- Experience with Tableau or other BI tools is a strong plus
- Experience in finance or banking is a strong advantage.
04
Contract duration
- Start date: 16/08/2026 (ASAP)
- End date: 31/01/2027 with possibility of extension
05
Language requirements
Business fluent English, native language (C1/2)
06
Application form