Senior Data Engineer | £60,000

Pearson Carter Limited; Ny-London; Hybrid; NOK 759,000 - 886,000; Full time

Job summary

Pearson Carter Limited is seeking a Senior Data & Analytics Engineer to advance data capabilities within a luxury hospitality context. You will combine data engineering, BI and analytics to build robust datasets and deliver actionable insights for strategic decisions.

You’ll work with Azure Data Factory, Snowflake, SQL and BI tools, collaborating with stakeholders to shape the data strategy. This is a hybrid London role with flexible hours and meaningful impact.

Qualifications

• Minimum 3 years’ experience in a Data Engineering, BI or Analytics role.
• Hands-on experience with Azure Data Factory.
• Strong working knowledge of Snowflake.
• Advanced SQL and database experience.
• Experience developing ETL/ELT processes and data pipelines.
• Reporting/visualisation experience using Tableau or Power BI.
• Knowledge of Python or a comparable language.
• Experience handling large datasets from multiple sources.
• Ability to communicate technical findings to non-technical stakeholders.
• Project management and independent working skills.

Responsibilities

• Build and optimise data integration workflows using Azure Data Factory.
• Develop and manage data solutions within Snowflake.
• Connect data from multiple systems into reliable datasets.
• Improve BI dashboards and reporting capabilities.
• Use SQL to extract, transform and analyse complex information.
• Identify data inconsistencies and improve data quality.
• Collaborate with business units to address reporting needs.
• Produce meaningful insights to support decisions.
• Support AI and advanced analytics initiatives.

Skills

3+ years experience

Azure Data Factory

Snowflake

SQL

ETL/ELT

Tableau

Power BI

Python

Data visualization

Stakeholder communication

Tools

Azure Data Factory

Snowflake

Tableau

Power BI

Python

Job description

Senior Data & Analytics Engineer £60,000 London

An exciting opportunity has arisen for an experienced Senior Data & Analytics Engineer to join an internationally recognised organisation operating within the luxury hospitality sector.

The business is looking to strengthen its data capabilities, moving away from traditional reporting methods towards a more connected, efficient and insight-driven approach.

You’ll play an important role in improving how information is collected, structured and used across the organisation, working closely with senior stakeholders to support strategic decisions.

With a small, collaborative technology team, this position offers genuine autonomy and the opportunity to make a visible impact.

WHAT YOU’LL BE DOING

This is a varied position combining data engineering, business intelligence and analytics, with responsibility for developing the organisation’s data capabilities.

Your responsibilities will include:

• Building and optimising data integration workflows using Azure Data Factory

• Developing and managing data solutions within Snowflake

• Connecting information from multiple business systems into reliable datasets

• Improving existing BI dashboards and reporting capabilities

• Using SQL to extract, transform and analyse complex information

• Identifying data inconsistencies and improving overall data accuracy

• Working directly with business departments to understand reporting challenges

• Producing meaningful insights to support commercial and operational decisions

• Supporting future developments involving AI and advanced analytics

WHAT WE’RE LOOKING FOR

We’re interested in speaking with technically strong data professionals who can also understand the commercial value of the information they’re working with.

Key requirements:

• Minimum 3 years’ experience in a Data Engineering, BI or Analytics position

• Proven hands-on experience with Azure Data Factory

• Strong working knowledge of Snowflake

• Advanced SQL and database experience

• Experience developing ETL/ELT processes and data pipelines

• Reporting and visualisation experience using Tableau or Power BI

• Knowledge of Python or a comparable programming language

• Experience handling large datasets from multiple sources

• Confidence communicating technical findings to non-technical stakeholders

• Ability to manage projects independently and recommend improvements

Previous experience contributing to data strategy, improving reporting environments or modernising existing data infrastructure would be particularly valuable.

WHY CONSIDER THIS ROLE?

Rather than joining a large data department with established processes, you’ll have the opportunity to help shape how data is managed and utilised throughout the business.

You’ll work across both engineering and analytics, gaining exposure to business-wide projects and contributing directly to how the organisation develops its data strategy.

SALARY & LOCATION

£60,000

Central London

Hybrid working - 3 days per week in the office

Flexible working hours