10 дней назад
Senior Databricks Data Engineer (Real Estate Investment)
600 - 700GBP
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Databricks Data Engineer (Real Estate Investment): Modernising legacy SQL Server, ETL and reporting workloads into a Databricks lakehouse platform with an accent on scalable data models, Delta Lake structures, governance and investment data quality. Focus on analysing lineage and dependencies, migrating SSIS and reporting solutions, and building reconciliation and monitoring controls for a business-critical real estate data platform.
Location: London, hybrid
Salary: £600–£700 per day
Company
is supporting a global real estate investment and asset management organisation modernising its data estate and investment technology capabilities.
What you will do
- Lead the assessment and modernisation of legacy SQL Server, ETL and reporting workloads into a Databricks-based architecture.
- Design scalable data models, Delta Lake structures and transformation pipelines for real estate investment data.
- Analyse data lineage, dependencies, business logic and data quality to define migration, redesign and retirement priorities.
- Build reconciliation, monitoring and governance controls for accuracy, auditability and operational resilience.
- Partner with investment, finance and technology stakeholders on a phased data migration strategy.
Requirements
- Strong enterprise experience with SQL Server, T-SQL, Databricks and Spark SQL.
- Proven delivery of large-scale data migration or modernisation programmes.
- Expertise in relational, dimensional and analytical data modelling, including lakehouse and medallion architectures.
- Experience with data profiling, lineage analysis, source-to-target mapping and data quality assessment.
- Experience migrating SSIS, ETL pipelines, stored procedures and reporting solutions to cloud platforms.
- Strong understanding of production-grade data platforms, performance optimisation and operational support.
Nice to have
- Experience with Python, PySpark, Power BI or real estate technology platforms.
- Exposure to Azure DevOps, Git and CI/CD practices.
- Background in commercial real estate, investment management or alternative asset management.
Culture & Benefits
- Work within a highly visible transformation programme supporting real estate equity and debt operations.
- Collaborate with business, finance and technology stakeholders.
- Influence platform architecture, data governance and reporting capabilities.
- Application and accessibility support is available during the recruitment process.
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