Lead Data Engineer
up to £90k DOE
Jefferson Frank have been enlisted to work with a long standing client who are looking to add to their Data Engineering teams. They specialise in advanced data/analytics, and specialist ML/AI layered projects typically for top FTSE 250 companies, and have been recognised as AWS's ML Partner of the year. They are a rapidly growing consultancy who make in house bespoke solutions leveraging some of the most modern AWS technologies.
Role & Responsibilities
Implement solutions using AWS (S3, Redshift, Lambda, DynamoDB, Glue etc)
Liasing with clients to define requirements
ETL/ELT, Data Modelling, Data Warehouse/design
Owning deployment of your work
Work closely with other internal teams, they're a collaborative group of techies!
Skills & Qualifications
Strong understanding of AWS datalakes and components
Redshift, Glue, S3.
Extensive experience of ETL and using patterns for cloud data warehouse solutions
Strong database understanding (e.g structured, relational etc)
Experience in working with a variety of data format
Data Visualisation Technologies
Experience with Snowflake desirable but not a necessity
Experience with Databricks desirable but not a necessity
10 DAYS a year on top of your holiday allowance dedicated to upskilling and training, book this in whenever you please to upskill in whatever you please!
For more information please apply below with your CV to Steven Mckay at Jefferson Frank, or email directly: email@example.com
Interviews are commencing immediately, no sponsorship is available for this role.
Jefferson Frank are AWS Advanced Technology Partners and AWS' recruiter of choice.