Data Engineer - London, United Kingdom - Nigel Frank International

Nigel Frank International

Verified Company

London, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Data Engineer - Hybrid - London
I am currently working with a market leading organisation in the travel industry. They are heavily invested in expanding their data and analytics team with a view to being more data driven.

This is a fantastic opportunity to help shape their data transformationas they create their Data Centre of Excellence driving the adoption of data-led decisions across the business.

They are keen to hear from people who are enthusiastic about their work and want to work for an expanding international company.

You will be providing end-to-end solutions, working with a range of the latest technologies, liaising with departments across the business to design and implement these solutions.

You will be developing and maintaining ETL pipelines and be involved in collecting,modelling and analysing data from various departments within the business.

This is a salaried role paying up to £65,000 depending on experience. You can expect a comprehensive benefits package which includes training and progression opportunities, holiday allowance plus so much more.

My client offer a friendly and collaborative work environment and pride themselves on being people orientated.

This role is based in London and offers a hybrid working arrangement to allow their employees to achieve a healthy work/life balance whilst maintaininga positive work environment.

I am looking for the following experience
- (Not necessarily all of the below but a good mixture)_

Knowledge of Python & SQL
Data Warehousing methodologies
Experience with Azure Technology Stack
Data Factory, Data Lake, Data Bricks, Synapse
Snowflake
Knowledge of Azure DevOps
Strong communication skills

This is a great opportunity to join a fantastic organisation as they build out their data and analytics team to drive their business forward.

The successful applicant can expect to be working alongside experts in their field and help shape the way they usetheir data.

Name:
Danielle Moore

Phone:

Keywords:
Engineer, Data Engineer, SQL, Data Warehouse, Data Warehousing, SSIS, SSAS, SSRS, MS BI Stack, Azure, Data Bricks, Data Lake, Data Factory, Python, Snowflake