Data Engineer
Howden · Romford- St James House ·
- Employment
- Full time
- Category
- Data engineering
- Experience
- 5+ years
Howden · Romford- St James House ·
venturegloballng · Arlington, VA
topgolf · TG - HQ - Dallas Office
Co-operators · Guelph, Ontario, Canada
dataprophet · Cape Town, Western Cape, South Africa
Working across 21 countries, DUAL has built a reputation as a specialist underwriting group and the market of choice for insurance intermediaries around the world. That’s how we have become one of the world’s largest international underwriting agencies (or MGAs) with US$3.4bn GWP.
DUAL is part of Howden, a leading global insurance group with employee ownership at its heart. Founded in 1994, it provides insurance, reinsurance and underwriting services to clients ranging from private individuals to the largest multinational companies. The Group operates in 57 countries, employs over 24,000 people and manages premiums totalling US$50bn on behalf of its clients.
Role responsibilities
Key member of the team, engineering DUAL Personal Lines’ strategic data platforms, chief of which is the Data Lakehouse, to enable the continuous enhancement of DUAL Personal Lines’ underwriting analytical capabilities.
Provide technical expertise in data engineering, analysis, orchestrations, and enrichment.
Build data solutions where required to address changing requirements – managing new requests and incidents.
Building, testing and deployment of data products while remaining true to governance principles including change control, accountability, data quality, and data security.
Consult the DUAL Group data team’s business analysts, developers and system owners to avoid divergence from agreed data standards.
Assesses the impact of change on DUAL Personal Lines’ data model to determine and avoid any potential issues which may hinder our operational, analytical and reporting environments.
Actively collaborates with data teams and system owners to maintain the data model and data integrity throughout the DUAL Group data lakehouse.
Closely support underwriting analytical teams and reporting analysts to ensure data is accurately represented for use in underwriting and performance analysis and reporting.
Build knowledge and expertise of DUAL Personal Lines’ systems with other data team members.
Working with other members of the data team and wider business to support delivery of additional project components (API interfaces, Data Models, Data Sharing, RDM/MDM tools, ML Endpoints).
Working within an Agile delivery / DevOps methodology to incremental change to the overall data platform to deliver additional data products to provide value to stakeholders.
Working with the Group Data Science team to productionise ML pipelines into the overall data platform solution.
Work collaboratively with internal stakeholders across DUAL Personal Lines including but not limited to Underwriting teams, Operations, Finance, Risk & Compliance and HR.
Act as a conduit between DUAL Personal Lines and Dual Data Team to facilitate the sharing of common approaches, adherence to standards, and advocating on behalf DUAL.
Help drive success of future investments in Data within DUAL Personal Lines, including clear articulation of return on investment (ROI) and ongoing assessment of realisation attainment.
Key requirements
Strong knowledge of Data Management principles in a Lakehouse architecture.
At least 5 years’ experience in data engineering and building data pipelines.
Proven track record in Data Engineering and supporting the business to gain true insight from data. Experience in data integration and modelling including ELT pipelines.
Hands on experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks, Azure Storage, Azure DevOps.
Strong proficiency in Python and SQL
Experience working with Data Architects for technical design
Experience on the design of data models (Star Schema) for use in Power BI. Insurance analysis, MI or reporting experience
Understanding and adherence to CI/CD principles
Nice to have: experience working alongside Data Science teams to assist with building and deploying Machine Learning models
Nice to have: experience working with infrastructure as code tools for deploying resources
Ability to work quickly, efficiently and methodically.
A strong team player who is confident in their ability.
Very strong communication, influencing and negotiation skills. Actively listens to the views of colleagues, but also has the strength of character to challenge where required.
Has a commercial awareness and stays up to date with current issues affecting the industry and its technologies.
Proactively sharing best practice with others across the organisation.
Planning, organising, and managing skills, and ability to prioritise.
Good understanding of data operations.
Broad knowledge and understanding of insurance principles, products and services.
Self-starter, with a passion and ability for learning new skills and technologies
What do we offer in return?
A career that you define.
Of course, we offer a competitive range of rewards and benefits to support you, but we know you expect all that.
What you might not expect is a job where everyone has a voice, where volunteering in the community is part of the day job, and where everyone is encouraged to play a part towards our sustainability goals. We want people who want to make a difference - not just in the workplace, but in the industry and in the wider community.
Our culture: people first
Our core values dictate how we live and work. We’re a group with independence and people at its heart – and a home for talent with a unique culture: the biggest small company in the world.
Being a people-first business has always been central to who we are. Our vision was to create an independent organisation with a distinctive culture that would survive and thrive through the people who shape it. Finding the most talented and entrepreneurial individuals to join the group has been, and will continue to be, key to our success.
Diversity and inclusion
At DUAL, our people are our greatest strength. We are committed to building an open and inclusive culture where everyone feels trusted and that they belong. We work to ensure all candidates, employees, clients and business partners are treated with fairness and respect.
We want every candidate to be able to bring their best to the recruitment process, so if you require reasonable accommodation at any stage, please let us know and we will work with you to provide appropriate support.
TJX · Hyderabad, TS 500081