About Them:
Our client is 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 client's 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 groundbreaking 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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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 groundbreaking 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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