Senior Data & Analytics Engineer - Hybrid London

Pearson Carter Limited; Greater London; Hybrid; GBP 51,000 - 69,000; Full time

Job summary

Pearson Carter Limited is seeking a Senior Data & Analytics Engineer in London to enhance data capabilities across the organisation. You will work on data integration, BI reporting and advanced analytics, collaborating with senior stakeholders to drive strategic decisions.

The role combines data engineering, business intelligence and analytics with autonomy within a small technology team. Hybrid working and exposure to AI-driven initiatives are offered.

Qualifications

• 3+ years' experience in Data Engineering, BI or Analytics roles.
• Hands-on experience with Azure Data Factory.
• Strong knowledge of Snowflake.
• Advanced SQL and database experience.
• Experience developing ETL/ELT processes and data pipelines.
• Reporting and visualization with Tableau or Power BI.
• Knowledge of Python or a similar language.

Responsibilities

• Build and optimise data integration workflows using Azure Data Factory.
• Develop and manage data solutions within Snowflake.
• Connect information from multiple systems into reliable datasets.
• Improve existing BI dashboards and reporting capabilities.
• Use SQL to extract, transform and analyse data.
• Identify data inconsistencies and improve data accuracy.
• Work with business departments to understand reporting challenges.
• Produce insights to support commercial and operational decisions.
• Support future developments involving AI and advanced analytics.

Skills

Azure Data Factory

Snowflake

SQL

ETL/ELT

Tableau

Power BI

Python

Large datasets

Communicating findings

Project management

Data strategy

Tools

Azure Data Factory

Snowflake

Tableau

Power BI

Python

Job description

Pearson Carter Limited is seeking a Senior Data & Analytics Engineer in London to enhance data capabilities across the organisation. You will work on data integration, BI reporting and advanced analytics, collaborating with senior stakeholders to drive strategic decisions.

The role combines data engineering, business intelligence and analytics with autonomy within a small technology team. Hybrid working and exposure to AI-driven initiatives are offered.