Data Engineer

Howden, A Chart Industries Company

Data Engineer building Azure lakehouse platforms for DUAL, an international insurance underwriting group. Delivering governed data products for underwriting analytics, reporting, and ML pipelines.

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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong expertise in Data Engineering, particularly in building and managing data pipelines within a Lakehouse architecture. Proficient in utilizing Azure Data Factory, Azure Databricks, and SQL to deliver data solutions that enhance underwriting analytical capabilities.

Highest-signal resume keywords

Data EngineeringAzure Data FactoryPythonSQLData Integration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Management PrinciplesBuilding Data PipelinesData ModellingELT PipelinesDesigning Data ModelsStar SchemaCI/CD PrinciplesMachine Learning ModelsInfrastructure-as-CodeData Operations

Soft Skills

Strong Communication SkillsTeam PlayerPlanning and OrganisingProactive Sharing of Best PracticesNegotiation Skills

Tools & Technologies

Azure DatabricksAzure StorageAzure DevOpsPower BIRDM/MDM Tools

Industry Keywords

Insurance AnalysisData LakehouseData QualityData SecurityCommercial Awareness

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

Engineer DUAL Personal Lines’ strategic data platforms, chiefly the Data Lakehouse, to enhance underwriting analytical capabilities
Provide technical expertise in data engineering, analysis, orchestrations, and enrichment
Build data solutions to address changing requirements, new requests, and incidents
Build, test, and deploy data products in accordance with governance principles, change control, accountability, data quality, and data security
Consult business analysts, developers, and system owners to adhere to 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 DUAL Group data lakehouse
Support underwriting analytical teams and reporting analysts by ensuring accurate data representation for underwriting and performance analysis and reporting
Build knowledge of DUAL Personal Lines’ systems with other data team members
Support delivery of project components including API interfaces, data models, data sharing, RDM/MDM tools, and ML endpoints
Work within Agile delivery and DevOps methodologies to incrementally improve the data platform and deliver data products
Work with the Group Data Science team to productionise ML pipelines into the data platform
Collaborate with internal stakeholders across Underwriting, Operations, Finance, Risk & Compliance, and HR
Act as a conduit between DUAL Personal Lines and the DUAL Data Team to share common approaches, adhere to standards, and advocate for DUAL
Help drive future data investments, including articulating ROI and assessing realisation attainment

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
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
Strong team player with confidence in their ability
Very strong communication, influencing, and negotiation skills
Commercial awareness and up-to-date knowledge of industry and technology issues
Proactive sharing of best practice across the organisation
Planning, organising, managing, and prioritisation skills
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

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
Open and inclusive culture
Reasonable accommodation during the recruitment process