TT Electronics is a global provider of engineered electronics. We collaborate with customers in the transportation, industrial, medical, and aerospace and defence markets, providing them with engineering support and expertise through a global network of specialists and world class facilities.
With approximately 6000 colleagues we operate from 27 locations around the world. Building the expertise of our people is critical to the future success of our organisation.
Come and work with us the “TT Way” which means we do the right thing, bring out the best in each other, achieve more together, champion expertise and get the job done…well!
As a responsible employer we encourage all our people to “give something back” by supporting the local communities in which we operate.
TT Electronics Bedlington incorporates two divisions; Passive Components and Power Electronics. Passive components are leaders in high reliability, high performance and engineered electronic components. Power Electronics provide custom solutions for safety critical harsh environment applications, at Bedlington specialising in microcircuit production for the civil aircraft, space, and defence industries.
We have a vacancy within Resistors for a Process Engineer. In this position the successful candidate will be responsible for all processes in a designated manufacturing area and will provide day to day line support as well as being accountable for implementing process improvements and cost reduction initiatives.
Reporting directly to the Engineering and Maintenance Manager, key duties and responsibilities will include:-
The successful candidate will have good interpersonal skills to be able to communicate and influence across all levels of the business. The candidate who has the technical knowledge and interpersonal skills required will be supported with a development plan to learn our products and processes.
We’re particularly interested in Graduate candidates who have manufacturing and or electronics industry experience. Awareness of lean manufacturing tools and statistical process techniques are required, although knowledge and applied experience would be advantageous.