Data Engineer - Azure - 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 transformation as 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 maintaining a positive work environment.
I am looking for...
(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
* 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 use their data.
If this is of interest then get in touch ASAP. Send across your CV to firstname.lastname@example.org or alternatively, give me a call on 0191 338 7577
Key Skills: Engineer, Data Engineer, SQL, Data Warehouse, Data Warehousing, SSIS, SSAS, SSRS, MS BI Stack, Azure, Data Bricks, Data Lake, Data Factory, Python, Snowflake