Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Data Engineer engineering DUAL Personal Lines’ strategic data platforms for global insurance group. Providing technical expertise in data engineering and collaborating with internal teams for solution delivery.
Responsibilities
- Key member of the team, engineering DUAL Personal Lines’ strategic data platforms
- Provide technical expertise in data engineering, analysis, orchestrations, and enrichment
- Build data solutions where required to address changing requirements
- Consult the DUAL Group data team’s business analysts, developers and system owners
- Assess impact of change on DUAL Personal Lines’ data model
- Actively collaborate with data teams and system owners to maintain data integrity
- Support underwriting analytical teams and reporting analysts
- Build knowledge and expertise of DUAL Personal Lines’ systems
- Work within an Agile delivery / DevOps methodology
- Work collaboratively with internal stakeholders
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.
Benefits
- Reasonable adjustments for accommodations
- Flexible hours or hybrid working options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer implementing data pipelines on Snowflake platform with a focus on innovation and collaboration for Zurich's data projects.
Data Engineer role focused on creating and monitoring data pipelines in an innovative energy company. Collaborate with IT and departments to ensure quality data availability in a hybrid work environment.
SQL Migration Data Engineer at Auxo Solutions focusing on Azure SQL/Fabric Lakehouse migrations and building data pipelines. Collaborating on technical designs and data governance for modernization initiatives.
Data Engineer developing cloud solutions and software tools on Microsoft Azure big data platform. Collaborating with various teams for data analysis and visualization in healthcare.
Boomi Integration Architect designing and leading integration solutions for data warehouses. Collaborating with cross - functional teams to implement scalable integration patterns using Boomi technologies.
Seeking a Boomi Integration Architect specializing in Data Warehouse and Master Data Hub implementations. Responsible for designing high - performance integration solutions across enterprise platforms.
Principal Data Engineer at Serko enhancing global travel tech through data - driven solutions. Collaborating across teams in Bengaluru to drive innovative engineering and best practices.
Data Engineer at Keyrus responsible for building and optimizing data pipelines for major projects. Contributing to data solutions and ensuring data quality in a growing team.
Data Architect designing and implementing scalable data architectures for Keyrus in Bordeaux. Leading client transitions and contributing to the tech ecosystem with innovative data solutions.