Are you looking for a role which will allow you to keep your finger on the pulse of the newest technologies and techniques in Data Engineering?
Would you like to work on projects at large scale, for a global software company that's looking to introduce new data engineering and data science techniques into it's software?
Do you want the autonomy to research and apply different data engineering techniques to an array of problems at large scale?
You'll work as a senior member of a team that investigates ways to improve and advance the capabilities of the company's market leading AI product.
You'll use your expertise in Data Engineering to help the company handle ever increasing volumes of raw data which can be transformed into useful and insightful insight and information.
You'll be able to use technologies and tools that you feel are best for the job, but will likely have excellent knowledge of Python and SQL.
You'll likely have experience in the following:
- Building Data Pipelines (Spark, Flink or something similar)
- Data Stores such as PostgreSQL, Amazon S3, Amazon Redshift, SQL Server, or similar
You'll be one of the early hires in an extremely fast growing Scottish base, which is planned to become this company's global engineering hub by 2023. You'll have huge career opportunity to advance your responsibilities (only if you want to!) as the team scales.
You will work for a company that's at the forefront of their rapidly growing industry. As pioneers in their industry, they work with some of the largest companies on the planet, including Amazon, Amex and Nike. You'll see your ideas adopted and implemented into the company's software applications, which has a direct impact on the fortunes of these brands that are amongst the biggest in the world.
You'll earn a salary of c. £70,000 plus benefits, and will have a flexible working environment including lots of working from home.
For immediate consideration, apply now.
If you'd like more information, contact email@example.com. If you're curious to know more but don't have a CV ready, I still want to hear from you.