Lead AWS Data Engineer / Architect - Databricks - London
I'm working with a globally renowned financial services client that are looking for a seasons Data professional. My client are seen as leaders and pioneers within their relative field but also, a very well known house hold name. They have operations in near enough every country and despite having such a huge presence globally, they still pride themselves on having their employees at the heart of every bit of success.
This has lead them onto winning multiple awards such as being named in the top 100 best companies to work for along side many other outstanding accolades.
This is a hands on technical role. The successful applicant will be building and maintaining AWS Data pipelines and infrastructure. This is while working with cross functional teams to design best in Class data solutions across the business. As a business, they are very mature within their data services however, there is always room for improvements so we're looking for an expert to not look to be involved in new processes but equally, help to reverse engineer the existing platform to increase efficiency and performance.
This is a salaried position paying up to £130k as a base salary. It's hybrid working with 2/3 days in office, central London. My client pride themselves on having their employees at the heart of everything that they do and their success has come from their outstanding workforce. They like to return the favour by offering unparalleled career progression opportunities along side training courses and certifications.
Key Requirements
* Proven experience with AWS services and tools.
* Strong knowledge of data modeling and ETL processes.
* Proficiency in programming languages such as Python or SQL.
* Excellent problem-solving skills with a proactive approach.
* Ability to communicate effectively within a team.
If you are a skilled and driven AWS Data Engineer looking to make an impact, get in touch ASAP as interviews are already taking place. Don't miss out!
Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London
