Data Engineer - ETL/Analytics, Flexible Benefits

Aviva plc; Leeds; Hybrid; GBP 41,000 - 50,000; Full time

Benefits offered by this job

Bonus 8% of annual salary

Generous pension scheme

29 days holiday + bank holidays

Private Medical Benefit

Matching Share Plan

Save As You Earn

Parental and carer’s leave

Cycle to work

Volunteering days

Wellbeing support

Job summary

Aviva plc is seeking a Data Engineering Associate in the United Kingdom (Leeds area) to develop ETL processes and deliver reporting and data analysis for commercial modelling, pricing and underwriting teams. You will work with Alteryx, Tableau and SQL, ensuring data accuracy and timely insights while collaborating with stakeholders to prioritise and deliver high‑quality data solutions.

The role emphasizes learning new technologies in a rapidly evolving data environment, with a generous benefits

Qualifications

• Strong understanding of data quality principles and ETL processes.
• Experience delivering reporting and data transformation solutions in a commercial/analytical environment.
• Knowledge of Python, Snowflake and Microsoft Fabric is advantageous.

Responsibilities

• ETL development, reporting and data analysis to support commercial modelling and underwriting teams.
• Collaborate with pricing, underwriting and commercial teams to improve data quality and streamline processes.
• Provide insights to support business decision-making and learn new technologies within a evolving data environment.

Skills

Data quality

ETL processes

Data analysis

Stakeholder management

Tools

Alteryx

Tableau

SQL

Python

Snowflake

Microsoft Fabric

Job description

Aviva plc is seeking a Data Engineering Associate in the United Kingdom (Leeds area) to develop ETL processes and deliver reporting and data analysis for commercial modelling, pricing and underwriting teams. You will work with Alteryx, Tableau and SQL, ensuring data accuracy and timely insights while collaborating with stakeholders to prioritise and deliver high‑quality data solutions.

The role emphasizes learning new technologies in a rapidly evolving data environment, with a generous benefits