Job Title: Data Engineering Architect
Location:
London Bridge - Hybrid (2-3 days per week)
Our client are a newly launched personal lines Insurtech start-up, backed by a well-known and loved UK retail group. Their mission is to redefine the personal insurance experience through data-driven innovation and advanced technology. As an early-stage start-up, they are building their foundation and are looking for a talented Data Engineering Architect/Principal Engineer to play a critical role in shaping their data infrastructure and strategy.
As the Data Engineering Architect/Principal Engineer, you will take ownership of designing and implementing a scalable, robust data architecture to support our clients cutting-edge insurance platform. You will be instrumental in building a strong data foundation, ensuring seamless integration of data pipelines, and driving the use of data as a strategic asset. Scalable, high-performance data architecture for the platform.·
Build and Optimise:
Data pipelines, ensuring the efficient collection, transformation, and storage of data.· Drive Best Practices
: In data engineering, including data quality, security, and governance.· Collaborate:
With cross-functional teams to align data architecture with business and technical goals.· Of tools, frameworks, and technologies to support data initiatives.· Continuously evaluate and improve existing data systems, ensuring scalability and reliability as the company grows.· Database Design:
Deep understanding of database design principles, including SQL and NoSQL databases.· Data Modelling:
Proficiency in creating conceptual, logical, and physical data models.· Data Warehousing:
Knowledge of data warehousing and ETL (Extract, Transform, Load) processes.· Big Data Technologies:
Familiarity with big data technologies like Hadoop, Spark, and cloud storage solutions.· Data Integration:
Skills in integrating data from various sources to create a cohesive dataset.· Data Security:
Implementing robust security measures to protect data integrity and privacy.
Extensive Experience:
In data engineering, including building and maintaining scalable data systems.· Proven Experience:
In designing data architectures for complex platforms.· Expertise:
In data pipeline tools, ETL processes, and database technologies.· Programming Skills:
Strong programming skills, ideally in Python or other relevant languages.· Experience with cloud-based data solutions, with a preference for Azure or similar platforms.· Data Governance:
Knowledge of data governance, security, and compliance best practices.· Modern Data Frameworks:
Familiarity with modern data frameworks, such as Apache Spark, Kafka, or similar tools.· Bachelor's or master’s degree in Computer Science, Software Engineering, or a related field.· Experience:
Proven experience as a Data Engineering Architect, Principal Engineer, or similar role with a track record of successful architectural designs.· Technical Skills:
Proficiency in architectural frameworks, design patterns, and technologies such as data architecture, Microsoft data platforms, ESBs, and microservices architecture.·
Certifications:
Relevant industry certifications such as TOGAF, Certified Data Architect, etc.
Pivotal Role:
Play a key role in defining and building our data strategy from the ground up.· Collaboration:
Work with a talented team in a hybrid work environment.· Competitive Package:
Competitive salary and benefits, along with opportunities for career growth.
If you’re a data engineering expert with a passion for creating transformative solutions in a start-up environment, we’d love to hear from you!
