Data Engineer

Howden, A Chart Industries Company

Data Engineer building Azure Lakehouse platforms for DUAL’s international insurance underwriting business. Delivering governed data products, pipelines, models, and ML integrations for underwriting analytics.

Posted 9/4/2026full-timeRomford • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong expertise in Data Engineering, particularly in Lakehouse architecture, with proficiency in building data pipelines and integrating data solutions. Capable of collaborating across teams to ensure data integrity and governance while delivering insights for underwriting and performance analysis.

Highest-signal resume keywords

Data EngineeringAzure Data FactoryPythonSQLData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Management PrinciplesBuilding Data PipelinesData IntegrationData ModellingELT PipelinesDesigning Data ModelsStar SchemaMachine LearningInfrastructure-as-CodeCI/CD Principles

Soft Skills

Strong Communication SkillsTeam-Player CapabilitiesPlanning and Organising SkillsNegotiation SkillsCommercial Awareness

Tools & Technologies

Azure DatabricksAzure StorageAzure DevOpsPower BIData Lakehouse

Industry Keywords

Insurance AnalysisData GovernanceData QualityData SecurityData Operations

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

Engineer DUAL Personal Lines’ strategic data platforms, especially the Data Lakehouse
Provide technical expertise in data engineering, analysis, orchestration, and enrichment
Build data solutions to address changing requirements, new requests, and incidents
Build, test, and deploy data products while maintaining governance, change control, accountability, data quality, and data security
Consult business analysts, developers, and system owners to maintain agreed data standards
Assess the impact of changes on the data model and prevent issues affecting operational, analytical, and reporting environments
Collaborate with data teams and system owners to maintain the data model and data integrity across the data lakehouse
Support underwriting analytical teams and reporting analysts with accurate data for underwriting and performance analysis and reporting
Support delivery of API interfaces, data models, data sharing, RDM/MDM tools, and ML endpoints
Work within Agile delivery and DevOps methodologies to deliver incremental platform changes and data products
Work with the Group Data Science team to productionise ML pipelines
Collaborate with stakeholders across Underwriting, Operations, Finance, Risk & Compliance, and HR
Facilitate common approaches, standards adherence, and cooperation between DUAL Personal Lines and the DUAL Data Team
Help drive future data investments, including articulating ROI and assessing benefits realisation

Requirements

What you’ll need

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 Data Factory, Azure Databricks, Azure Storage, and Azure DevOps
Strong proficiency in Python and SQL
Experience working with Data Architects for technical design
Experience designing data models, including Star Schema, for use in Power BI
Insurance analysis, MI, or reporting experience
Understanding and adherence to CI/CD principles
Ability to work quickly, efficiently, and methodically
Strong team-player capabilities and confidence in ability
Very strong communication, influencing, and negotiation skills
Commercial awareness and knowledge of current industry and technology issues
Planning, organising, and managing skills, with ability to prioritise
Good understanding of data operations
Broad knowledge and understanding of insurance principles, products, and services
Self-starter with passion and ability for learning new skills and technologies
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

Benefits

Comp & perks

Competitive range of rewards and benefits
Volunteering in the community as part of the day job
Encouragement to contribute to sustainability goals
Inclusive, people-first culture
Reasonable accommodation during the recruitment process