Pete Dunn

Peter Dunn

Associate Director - Tech & Digital
Edinburgh
0131 550 1147

About Dyneval

Dyneval is a fast-growing start-up with exciting ambitions to revolutionise dairy farming by becoming the expert choice for semen analysis. Their product - Dynescan - can be used by anyone, anywhere. It aims to improve the sustainability of livestock reproduction artificial intelligence technology for artificial insemination (AI4AI) which can be adapted to a range of species and challenges. With farm conception rates falling and a lack of quality control standards across the industry, Dynescan is an easy-to-use, automated and portable instrument that solves these problems and is becoming the gold-standard in semen assessment. By improving conception rates on farms, Dyneval are returning more profit to farmers and helping to create more sustainable approaches to farming by lowering the carbon footprint.

With an incredibly passionate team of experts, superb investment backing and an incredible product offering it is an exciting time to join Team Dyneval and help farmers in the race to Net Zero.

Funding

Dyneval is delighted to announce that it has secured total funding of over £1.8M to establish a new quality control standard for semen analysis that will benefit users across the livestock production chain.

Recruitment

Eden Scott is delighted to be a retained partner to Dyneval to recruit an experienced Data Engineer to design and develop secure database structures, and analysis tools alongside their CTO. As a Data Engineer you will help build tools to collate, organise and build value from data.

Main responsibilities:

· Design and develop database structure and tools for data analytics that provide value to the company

· Design, develop and implement data protection strategy of their databases

· Design and implement data management systems with support from the Senior Software Lead and CTO

· Work with partners to integrate external data into Dyneval systems and vice versa, as directed by the CTO and Software Team Lead

· Make recommendations to supervisors to propose ways to improve the value provided to customers and other partners through the data.

· Work with other individuals across the business to produce data suitable for marketing and business development.

· Ensure the accuracy and availability of data to customers and understand how technical decisions can impact their business's analytics and reporting

. Produce comprehensive data analysis and reporting for the CTO

Minimum Requirements /Qualifications:

· Proven years of experience in cloud design, architecture & computing using AWS or Azure

· Experience in data analytic tools

· Experience building distinct types of data warehousing layers based on specific use cases

· Have led the design, implementation, and successful delivery of large-scale, critical, or difficult data solutions involving a significant amount of work

· Experience having created scalable data infrastructure and understand distributed systems concepts from a data storage and compute perspective

· Expertise in SQL and a strong understanding of ETL and data modelling

· Be proficient in at least one scripting/programming language to handle large volume data processing

· Experience in data visualisation and comprehensive data reporting

· Knowledge of Python or C#

· Critical thinking, problem solving, proactivity, team player

Highly desirable skills/experiences:

· Experience in Rust and/or C++

· A scientific background

· Experience in QA and Testing software

· Experience of implementing or using existing Machine learning tools

· Experience in instrument control, embedded programming and firmware

The role is available on a hybrid working from home and office-based at The Roslin Innovation Centre. Or fully office-based basis.

Apply now