Senior Data Insurance Engineer

Reposted 13 Days Ago
Be an Early Applicant
UK
Senior level
Cloud • Software • Consulting
The Role
As a Senior Data Insurance Engineer, you'll build scalable data solutions, design data pipelines, and ensure data quality across the insurance industry.
Summary Generated by Built In

For this role, you need to be based in London and available to go to the office twice a week. 
About Us    

We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.  

We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.  

We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too!  

At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our offices. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office.  

About the Role

As a Senior Data Insurance Engineer, you will be responsible for building and maintaining robust, scalable data solutions that power analytics, reporting, and decision-making across the insurance value chain. You will work closely with data analysts, actuaries, underwriters, and business stakeholders to design and deliver data pipelines, models, and architectures that ensure accuracy, performance, and accessibility of insurance data. 

In this role, you will design and implement data ingestion, transformation, and storage frameworks that meet enterprise-grade standards for quality, security, and compliance. You will play a key role in defining data architecture patterns, normalisation and transformation logic, and supporting the development of medallion architectures and consumption-ready data models. 

As a senior member of the team, you will also help drive engineering best practices, mentor junior engineers, and collaborate with the Product Owner and Lead Data Engineer to shape the technical roadmap. This is an exciting opportunity for someone who thrives on solving complex data challenges and wants to make a tangible impact on how data is leveraged to drive efficiency, risk management, and growth in the insurance industry. 

Key Responsibilities

  • Collaborate daily with Data Analysts and the Product Owner to understand business and analytical requirements. 
  • Design, build, and maintain data pipelines to ingest and process data from multiple source systems. 
  • Configure data transformation and normalization logic to ensure consistency, accuracy, and readiness for downstream use. 
  • Define and configure data models within the medallion architecture, enabling robust consumption layers for analytics and reporting. 
  • Configure, package, and deploy data platform components to production environments, ensuring reliability and scalability. 
  • Work with the Product Owner and Data Analyst to co-define and prioritize the engineering backlog in line with business priorities. 
  • Implement and manage data cataloging and lineage processes to support governance, discoverability, and compliance. 
  • Leverage core data platform technologies including Azure, Databricks, Python/Notebooks, Azure DevOps, Unity Catalog, and MSSQL. 
  • Operate within a matrix-managed reinsurance environment, collaborating with remote and onsite teams, and adhering to strict service, compliance, and security standards. 
  • Support multiple business units by consuming Databricks-as-a-Service (BDAP) to deliver high-quality, enterprise-grade data solutions.  
  • Apply prior knowledge and experience in working with the Lloyds syndicate specialty insurance data set to accelerate data migrations. 

Working at Ascent 

At Ascent we promote a healthy work-life balance by offering flexibility in where you work.  We also promote well-being and provide access to Well Being Coaches.  
 
Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. 
 
Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. 

Top Skills

Azure
Azure Devops
Databricks
Mssql
Python
Unity Catalog
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The Company
London
452 Employees
Year Founded: 2005

What We Do

Ascent is a design-led software, data and cloud business that specialises in advanced analytics and AI. We design, build and manage cloud-native products, solutions, platforms and experiences on Azure. Our community of engineers, architects, data scientists, experience designers and consultants is here to help customers do something new, or do something better. Ascent is home to 450+ technology specialists across 5 key European locations (UK, Germany, Portugal, Malta and Bulgaria). Our talented, consultative teams deliver a range of solutions, from digital product and service design to mobile app development, API integrations, data engineering, AI and data science. Our modern app, data and infrastructure platforms help businesses leave legacy behind and enable rapid, efficient innovation

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