Data Engineering Architect

FJN Solutions
London
1 month ago
Applications closed

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Job Title: Data Engineering Architect

Location:London Bridge - Hybrid (2-3 days per week)


About Them:

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.


Role Overview:

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. This role combines hands-on technical expertise with strategic architectural responsibilities in a fast-paced, start-up environment.


Key Responsibilities:

·Design and Implement: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.

· Lead Selection and Integration:Of tools, frameworks, and technologies to support data initiatives.

· Provide Hands-On Technical Leadership:Continuously evaluate and improve existing data systems, ensuring scalability and reliability as the company grows.

· Adaptability:Be comfortable navigating the challenges of an early-stage start-up and contribute to a culture of adaptability and collaboration.


Technical Proficiency:

· 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.


Skills & Experience:

· 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.

· Cloud-Based Solutions: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.

· Problem-Solving:Excellent problem-solving skills and a proactive, hands-on approach to challenges.

· Start-up Experience:Previous experience in an early-stage start-up or dynamic, fast-paced environment is highly desirable.


Qualifications:

·Education: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.


Why Join?

· Impact:Be part of a ground breaking Insurtech venture with the backing of a large, established retail group.

· 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! Apply now to join our journey and make a meaningful impact in the world of insurance.

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