Reporting directly into our Data Engineering Manager, collaborating with some of the sharpest minds in the industry you will take the lead in major projects to develop, maintain and improve both existing and new processes for data integration and transformation.
Your remit will include the following;
Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows
Take on larger projects where you’ll need to co-ordinate the division of tasks with colleagues and drive the overall project to completion
Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans
Maintain process quality and robustness through coding best practice, including version control, documentation and peer review
Investigate and elaborate data issues to help drive continuous improvement in data quality
Good understanding of database architecture and querying using SQL , with a minimum 3 year s post-university experience
A sound understanding of data transformation and cleaning
Minimum 3 years’ programming experience using any language such as Python, Scala, R
Enthusiasm for accuracy with a proven track record of solving complex data problems
Minimum 2:1 in a relevant technical degree
Ex posure to Big Data platforms and knowledge of NoSQL, e.g. Graph databases
U nderstanding of machine learning and statistical modelling techniques
As a growing business this role is critical to our delivery and success, it will be exciting, busy, varied and challenging so a roll sleeves up, hands-on approach is an absolute must. We’re looking for a natural problem solver with a keen eye for detail who communicates ef fectively to all stakeholders.
This is a dynamic, fast paced working environment so it is important you are comfortable working within that setting and demonstrate a proactive working style embracing opportunity to develop and learn.
Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.Please also note that we have a thorough referencing process, which includes credit and criminal record checks.