5 дней назад
Lead Data Engineer (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Databricks): Designing and delivering scalable, secure data platforms, pipelines, and data products within Quilter’s Chief Data Office with an accent on Databricks, Azure, real-time processing, data governance, and engineering standards. Focus on leading technical delivery, optimizing Spark-based architectures, implementing observability and CI/CD, and mentoring engineers across complex enterprise data domains.
Location: Southampton or London, United Kingdom
Company
is a wealth management business providing financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management across the UK, Ireland, and Channel Islands.
What you will do
- Provide technical leadership and domain ownership across one or more enterprise data domains.
- Design and deliver scalable data pipelines, data products, and platform capabilities using modern data engineering practices.
- Translate business and product requirements into technical designs, implementation plans, and delivery roadmaps.
- Define engineering standards and promote automation, testing, CI/CD, source control, observability, and infrastructure-as-code.
- Ensure data products meet standards for reliability, performance, security, governance, data quality, and regulatory compliance.
- Coach and mentor data engineers through technical reviews, pair programming, knowledge sharing, and communities of practice.
Requirements
- Experience as a senior or lead data engineer in a complex enterprise environment delivering large-scale data solutions.
- Strong hands-on experience with Databricks and Azure, including Delta Lake, Unity Catalog, Workflows, Delta Live Tables, ADLS Gen2, Azure Data Factory, Key Vault, Functions, and Azure Monitor.
- Experience designing batch and real-time processing solutions, event-driven and streaming architectures, and distributed Spark workloads.
- Advanced Python and SQL skills; experience with Scala is beneficial.
- Experience with data quality frameworks, data contracts, SLOs, observability, governance, lineage, metadata, cataloguing, security, access controls, GDPR, and data retention.
- Knowledge of Kimball dimensional modelling, Data Vault, medallion architecture, lakehouse design, Agile delivery, CI/CD, DevOps, and infrastructure-as-code.
Culture & Benefits
- Permanent role within the Chief Data Office, reporting to the Data Engineering Manager.
- 26 days of holiday, equivalent to 182 hours.
- Company incentive scheme and non-contributory pension scheme with options for additional personal contributions.
- Private medical insurance, life assurance at four times salary, and income protection at 75% of salary after 26 weeks of absence.
- Flexible benefits are available to UK employees through salary deduction.
- Inclusive culture focused on integrity, curiosity, continuous learning, collaboration, ownership, and engineering excellence.
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