Design and build a single data platform and pipelines, ensure infrastructure and standards, provide governance and consultancy, and work with stakeholders to expand data capabilities across the insurance business.
CFC is on a journey to be a leader in data driven insurance. We are a leader in automated cyber insurance and will use data more and more as the bedrock of our business. In order to support this we are building a single data platform which will enable us to collect, share and use data across our business and with many user communities. This data platform will initially be used to support MDM requirements and over time will expand to provide core capability for leveraging data across our organisation. In order to support this initiative, we are looking to hire a Data Engineer who will play a significant role in delivering this capability.
Beyond the immediate use cases around the data platform, there are ample opportunities to influence the data approach to CFC and pioneer new initiatives to support the companies goals. We expect this role to be a mixture of hands-on development work and strategic thinking.
This is a great opportunity for an experienced data engineer to join a growing company at the forefront of data usage within the Insurance industry. You will be working with senior stakeholders to craft a new set of capabilities and have the opportunity to drive the direction and fundamentals of this platform.
About the role
What you'll be doing:
- Working with multiple stakeholder communities to understand our data needs and create pipelines to take data between different layers in the platform
- Ensuring the technical infrastructure is in place and appropriate to support managing the data platform and associated activities such as pipelines
- Creating standards and patterns to ensure that future development adhere to a high-quality fit for purpose framework
- Defining features and capabilities to move the dial on data usage within the insurance industry
- Providing governance and consultancy to users of the data platform and data related questions
About you
- 5+ years working in a Data Engineering role
- Knowledge of Python and Spark
- Strong SQL knowledge
- Experience analyzing, cleaning, migrating and modeling data
- Experience using Azure or another cloud provider (AWS, GCP)
About
CFC is a specialist insurance provider, pioneering emerging risk and market leader in cyber. Our global insurance platform uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today's most critical business risk.Headquartered in London with offices in New York, Melbourne, Sydney, Austin, Madrid, Brussels and Brisbane, CFC has over 1200 staff and is trusted by more than 100,000 businesses across 90 countries.At CFC, insurance isn't just about underwriting. From data science to software development, and digital marketing design, we've got something for everyone. We're passionate about pushing boundaries, thinking differently and building the insurance company of the future.CFC is committed to the principles of equal opportunities and creating an environment in which all individuals are always treated with dignity and respect. We encourage a diverse corporate culture of openness and appreciation to create an environment in which your talent can be developed in the best possible way. Should you require any reasonable adjustments at any stage of the recruitment process please let us know.Feeling like you need to tick every box before applying? We see things differently. In a rapidly scaling company like ours, ambition and the drive to learn count for more than a 'perfect' checklist. We're building the future of insurance, and that requires diverse talent eager to grow with us. If this role excites you and you're ready to make a significant impact, bring your unique background and let's build something great together.
Similar Jobs
Fintech • Payments • Financial Services
Lead Data Engineer responsible for defining architecture, engineering standards, and best practices for the enterprise data platform, collaborating with distributed teams for modernization and scalability.
Top Skills:
AirflowAurora PostgresqlAWSKafkaRedshiftSQL Server
Big Data • Real Estate • Software
The Senior Data Engineer will optimize data ingestion pipelines, manage PostgreSQL databases, design ETL processes, and ensure system reliability in a remote-first, collaborative environment.
Top Skills:
AWSAws AuroraCi/CdCloudFormationPostgresRubyRuby On RailsTerraform
Healthtech
The Senior Data Engineer will design and maintain data pipelines, write production-grade Python and SQL code, and support AI initiatives while collaborating across teams.
Top Skills:
AirflowSparkAuroraAws GlueCloudFormationCloudwatchIamLookerMySQLPythonRedshiftSQLTableau
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
