Data Engineering Lead

🔥 15 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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DAC Beachcroft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚖️ Legal

🛡️ Insurance

🏥 Healthcare

Legal • Insurance • Healthcare

DAC Beachcroft is an international commercial law firm and advisor with a strong heritage in insurance, health and real estate. The firm employs over 3,000 people and operates across multiple regions worldwide, offering legal services including dispute resolution, regulatory advice, transactional and commercial work, and industry-specialist counsel. DAC Beachcroft positions itself as a market leader in the global insurance sector and provides multidisciplinary expertise for health and social care clients, while also advising on real estate, financial services and technology matters. The firm emphasizes innovative delivery, use of technology (including AI and digital solutions), and a client-focused, multi-jurisdictional approach.

📋 Description

• Design, develop and maintain enterprise ETL/ELT pipelines integrating case management, finance, CRM and third-party systems into a central data platform • Lead development and continuous improvement of the Azure-based cloud data platform • Ensure data pipelines are scalable, reliable, cost-effective and resilient • Build and maintain datasets supporting business reporting, analytics, dashboards and data-enabled products • Establish and champion CI/CD, automated testing, version control, monitoring and alerting best practices • Work with Data Architects to implement target-state data models and modern data engineering principles • Partner with data scientists and analysts to operationalise advanced analytics and predictive models • Manage integrations with insurer portals and external data providers, ensuring high-quality, timely and secure data flows • Support the organisation’s ambition to become increasingly data-driven and AI-enabled • Influence strategic data decisions and deliver solutions improving operational performance and customer outcomes

🎯 Requirements

• Proven experience in a senior Data Engineering or Lead Data Engineer role • Strong hands-on experience with Microsoft Azure data technologies, including Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric and Azure Data Lake • Advanced SQL development skills • Proficiency in Python and modern data pipeline orchestration tools, including monitoring and automation • Track record of building reliable, monitored production-grade data pipelines • Experience integrating data from multiple business-critical applications and legacy systems • Good understanding of data security, data protection and access control principles within cloud-based data platforms • Comfortable working in regulated data environments with sensitive personal and litigation data • Excellent stakeholder management and communication skills • Exposure to predictive analytics, machine learning operationalisation or AI platforms • Experience working with Dynamics CRM, VisualFiles and Elite 3E is desirable • Understanding of data modelling and data architecture best practices • Experience leading or mentoring data engineering teams • Experience within insurance, legal services, claims management or financial services is desirable but not mandatory

🏖️ Benefits

• High levels of flexibility and a great work life balance • A well-rounded remuneration package, including private medical insurance, income protection insurance and discounted gym membership • Opportunities for growth and progression including professional funding • In person and remote social events • Opportunity to get involved in a range of Environmental, Social and Governance (ESG) activities • Diverse, inclusive and authentic workplace culture