Principal Data Engineer

Overview We are seeking a Principal Data Engineer to act as Technical Lead for a team delivering data products for analytics in the Insurance industry. The successful candidate will display deep technical expertise, particularly of Data Engineering on Databricks in Insurance, with strong experience of modern data architectures along with team leadership capabilities. Responsibilities Act as the leading technical authority and Subject Matter Expert for Databricks Data Engineering, representing the Engineering team to stakeholders. Define and own the Data Architecture for the creation of speciality insurance analytics data products. Design Conceptual, Logical, and Physical Data Models for the business area, aligned to broader/standardised data models. Establish engineering standards, patterns, and best practices for AI-assisted pipeline development, orchestration, processing, storage, and observability. Design, oversee, and contribute to the development of large-scale, fault-tolerant data pipelines and orchestration jobs across medallion layers in Databricks. Ensure pipelines are designed to meet SLAs for reliability, latency, cost, and data quality. Implement processes for the management of metadata, lineage, and observability in the delivery of high-quality and dependable Data Products. Partner with security teams on data privacy and compliance, implementing data governance with particular focus on managing sensitive, business critical data. Mentor senior and mid-level engineers and drive Engineering Excellence across AI Assisted Development, Code quality, Testing, and Documentation. Lead design reviews and architecture discussions, encouraging collaboration and innovation to promote a culture of continuous improvement. Qualifications Databricks and AWS Certifications. BSc/MSc degree in Computer Science, Engineering or a related subject. Data Management certifications (e.g. DAMA) an advantage. Experience Extensive experience in Data Engineering roles. Proven experience leading or mentoring engineering teams. Experience delivering large-scale cloud-based data initiatives. Previous experience working within regulated environments such as Insurance highly desirable. Experience with Databricks Lakehouse architecture preferred. Benefits At Expleo, we are committed to providing a competitive salary and substantial benefits offering with unique wellbeing, financial and employee recognition programmes. We pride ourselves on our diverse and inclusive culture and offer a variety of family friendly policies and enhanced leave to help you achieve a healthy work life balance. By providing significant learning and development opportunities, we encourage individual growth and success throughout your career with us. Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits such as medical and dental insurance, pension, life assurance, employee wellbeing programme, sports and social events, birthday hampers and much more! Always working as one team, our people are not afraid to think big and question the status quo. “We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”. At Expleo, we understand that many people experience impostor syndrome throughout their lifetime, please do not let this discourage you from applying for this role. Our Talent Acquisition Team welcomes all CV’s and will consider your application in line with the values, requirements and role competencies.