Job Description
Job Number:
Data Engineer (78002584D20240801)
Data Engineer – Data Sourcing & Solutions
London, UK
The Data Sourcing & Solutions team is a growing group inside of AXA XL, responsible for designing and implementing data structures that will enable AXA XL to harness the potential of advanced analytics in the decision-making process. Data is vital to analytics. In order to ensure that we are achieving our potential under this discipline, we need to make certain our data has the right context, granularity, and quality.
The Data Engineer plays a critical role within the Data Sourcing & Solutions team as this person is responsible for designing and implementing data structures to support current and future analytical projects. We are looking for candidates that have experience working with data from a raw, unprocessed state and organizing it in an intuitive way. Building this data pipeline enables our partners to analyze data better and faster – ultimately leading the organization in optimizing the decision-making process.
What will your essential responsibilities include?
* This role will spend the majority of time focused on a mix of internal and external data. This will involve building proper data pipelines to support initial exploration and real-time integration.
* Exploring and acquiring new sources of data. Using curiosity and creativity, this would involve using technology to automate data acquisition, ability to link new sources with internal data, and appropriate level of supporting documentation of the source and technical solution.
* Providing the right context of data required for a given analysis. This would require the candidate to work with data modelers/analysts to understand the business problems they are trying to solve and create data structures to feed into their analysis.
* Build upon learnings of internal and external data to become more proactive. This includes thinking ahead of what modelers will anticipate with their data needs and designing structures that are intuitive to use.
* Ensuring quality and understanding of analytical data. This would require hands-on data experience to look into data issues and seek to resolution or acceptance. Create the appropriate amount of documentation, leverage standards and build upon them. Data should be reconciled and documented at various stages for integrity.
* Participate in developing governance and rigor of data management practice within the Data Sourcing & Solutions Team. This will also include partnering with enterprise IT groups and involvement in enterprise data related functions.
You will report to Data Engineering Manager/Principal Data Engineer.
We’re looking for someone who has these abilities and skills:
* Well established Data & Analytics work experience.
* Sound understanding/experience of Python, Databricks, PySpark, Spark SQL and best practices.
* Expertise in Star Schema data modelling.
* Expertise in the design, creation and management of large datasets/data models.
* Experience working on building/optimizing logical data model and data pipelines while delivering high data quality solutions that are testable and adhere to SLAs.
* Data Engineering and Insurance background preferred.
* Ability to work with business owners to define key business requirements and convert to technical specifications.
* Demonstrated ability to work through data complexities which includes variety of sources, formats, and structures.
* Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modelling decisions and data engineering strategy.
* Preference of experience in Insurance domain.
* Ability to see through ambiguous concepts, breakdown complex problems into manageable components.
* Detail oriented, proven ability to recognize patterns in data.
* Possesses natural curiosity. Seek to understand the world around you, question when appropriate.
FIND your future
AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it.
How? By combining a strong and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty.
With an innovative and flexible approach to risk solutions, we partner with those who move the world forward.
Inclusion & Diversity
AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic.
At AXA XL, we know that an inclusive culture and a diverse workforce enable business growth and are critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most diverse workforce possible, and create an inclusive culture where everyone can bring their full selves to work and can reach their highest potential. It’s about helping one another — and our business — to move forward and succeed.
* Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe.
* Robust support for Flexible Working Arrangements.
* Enhanced family friendly leave benefits.
* Named to the Diversity Best Practices Index.
* Signatory to the UK Women in Finance Charter.
Location
Location: GB-GB-London
Work Locations: GB London 20 Gracechurch Street London EC3V 0BG
Job Field
Job Field: Data & Analytics
Schedule
Schedule: Full-time
Job Type
Job Type: Standard
AXA XL is an Equal Opportunity Employer and does not discriminate against any colleague or applicant for employment on the basis of race, color, national origin, religion, sex, gender identity and/or expression, sexual orientation, age, disability, genetic information, veteran status, military status or any other category protected by local law.
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