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Senior Data Engineer brings deep expertise in SQL development, data modelling, and stakeholder collaboration to deliver high quality, reliable, and business critical datasets. The role centers on building and optimizing SQL driven data transformations, supporting analytical, operational, and regulatoryreporting needs. Experience in banking or financial environments is a strong advantage.
Python knowledge and BI tool experience (e.g., Tableau, Power BI) are valuable pluses that support automation, data preparation, and efficient analytics delivery.
YOUR CHALLENGESQL Development & Data ModellingDevelop and optimize complex SQL transformations supporting analytics, reporting, and financial/regulatory needsWork 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 standardsImplement and maintain data quality checks, validation rules, and SQL testingMaintain clear documentation, lineage, and metadata to support transparency and governanceSupport reduction of architectural debt and help maintain a clean, consistent data environmentData Pipelines & Integration EngineeringBuild and maintain SQL centric ETL/ELT data pipelinesUse Python where beneficial for automation, API integration, or workflow efficiencyImplement ingestion patterns for batch, incremental, and near real time data flowsEnsure monitoring, observability, and reliable operation of data workflowsBusiness Intelligence EnablementExperience with Tableau or other BI tools is a strong plus, especially for:Structuring SQL datasets optimized for BI consumptionSupporting data preparation, extract logic, and backend performanceAssisting dashboard/report designers with troubleshooting, prototyping,



and governanceCross Functional CollaborationPartner with finance, risk, compliance, and business teams to translate requirements into high quality data solutionsWork closely with data architects to ensure alignment with modelling standardsSupport troubleshooting across ingestion, modelling, and operational processesContribute to platform evolution, engineering improvements, and roadmap initiativesCommunicate effectively with both technical and business stakeholdersData Platform & Operational ExcellenceCollaborate with platform and infrastructure teams to operate SQL workloads reliably in productionApply engineering best practices: version control, documentation, testing, code qualityYOUR PROFILEExpert level SQL (complex queries, tuning, optimization)Experience working with and extending established data models (Data Vault, dimensional, SCD, 3NF)Strong experience developing scalable SQL driven transformationsPython is a strong plus for automation, API integrations, and workflow enhancementExperience with Tableau, Power BI, or other BI tools is a strong plusExperience working in banking, financial services, or regulated environments is a strong advantageCommitment to building reliable, maintainable, and well tested data solutionsStrong focus on quality, monitoring, reliability, and automationOwnership mentality across the data lifecycleAbility to refine requirements and collaborate with technical and business teamsCreative, proactive, and improvement oriented approachStrong communication and stakeholder engagement abilitiesAnalytical, detail oriented, and proactive problem solverComfortable in agile, iterative delivery environmentsBachelor’s or Master’s degree in a relevant field5+ years in data engineering or SQL heavy backend rolesProven experience working with structured enterprise data modelsExperience in finance or banking is a strong advantageEnglish: fluent (written and spoken)Nice to have:Experience with Temenos T24/Transact, Temenos Triple'A, or similar core banking platformsWe are looking forward to receiving your full job application through our online application tool.

📌 EuroHUB Senior Data Engineer 100% (Comunidad de Madrid)
🏢 Bank Julius Bär Ltd.
📍 Comunidad de Madrid