Role:
Data Engineer Location: Glasgow OR Dundee Salary: £
50,000 approx Remote work: This is a hybrid role and lots of our software team are Glasgow based and only come to the office a few times per month. We are looking at opening a hub in Glasgow as we know there is more talent there, so we would want them ideally working from the central Glasgow hub for 1-3 days per week and Dundee very occasionally. We are seeking a talented and enthusiastic
Data Engineer
to join our dynamic team at the start of an exciting digital transformation journey. As a medium-sized enterprise, our structure offers a unique opportunity for close collaboration across all departments, allowing you to contribute meaningfully and gain visibility for your efforts. If you thrive in an environment where your skills and contributions are recognized and valued, this role is perfect for you. As a Data Engineer, you will work alongside experienced professionals, gaining hands-on experience throughout the entire product development lifecycle while playing a vital role in shaping our data and machine learning capabilities. Responsibilities
Design, develop, and deploy high-performance data analysis pipelines using traditional data processing techniques and machine learning models. Conduct data analysis, feature engineering, and architectural design to optimize data processing performance and accuracy. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate business requirements into impactful technical solutions. Develop and maintain robust, scalable machine learning pipelines using cloud services (e.g., AWS SageMaker, AWS Glue, Flink, EC2, S3, Lambda) and other relevant tools. Stay up-to-date with advancements in computer vision and machine learning, identifying opportunities to integrate innovative solutions into the business. Contribute to the development and enhancement of machine learning infrastructure and best practices. Mentor junior team members, fostering a culture of innovation, collaboration, and continuous learning. Experience and Skills
Essential: Master's degree in Computer Science, Computer Engineering, or a related field, with a focus on machine learning or data processing. 3+ years of professional experience developing and deploying data processing systems, particularly with near real-time data processing. Solid understanding of data processing concepts and architectures (e.g., ETLs, data catalogs, and visualization preparation). Proficiency in Python and experience with widely-used libraries. Strong expertise with AWS services, including SageMaker, AWS Glue, EC2, S3, and Lambda. Experience with cloud-native development and deployment methodologies. Ability to work independently and collaboratively within a team environment. Passion for machine learning and a commitment to ongoing learning and development. General: Excellent problem-solving skills and creativity in overcoming technical challenges. A growth mindset and enthusiasm for staying updated on industry trends and best practices. Strong communication and teamwork skills, with a commitment to openness and transparency. Initiative and the ability to self-start when necessary. Flexibility and a focus on contributing to overall organizational success. Bonus Points
Knowledge or experience in the aquaculture or related sectors. Familiarity with MLOps principles and best practices. Experience with distributed computing and large-scale data processing. This role provides the chance to make a tangible impact on the organization's success while growing your skills in an innovative and collaborative environment. Benefits:
37.5 hours working week 33 days annual leave Death in service at 4 x your annual salary Employee Assistance Programme Enhanced parental leave policies Birthday day off Paid bereavement leave Paid sick leave Company pension scheme Cycle to work scheme How to apply?
Please send a CV to
danielle.chapman@experis.co.uk
#J-18808-Ljbffr
Data Engineer Location: Glasgow OR Dundee Salary: £
50,000 approx Remote work: This is a hybrid role and lots of our software team are Glasgow based and only come to the office a few times per month. We are looking at opening a hub in Glasgow as we know there is more talent there, so we would want them ideally working from the central Glasgow hub for 1-3 days per week and Dundee very occasionally. We are seeking a talented and enthusiastic
Data Engineer
to join our dynamic team at the start of an exciting digital transformation journey. As a medium-sized enterprise, our structure offers a unique opportunity for close collaboration across all departments, allowing you to contribute meaningfully and gain visibility for your efforts. If you thrive in an environment where your skills and contributions are recognized and valued, this role is perfect for you. As a Data Engineer, you will work alongside experienced professionals, gaining hands-on experience throughout the entire product development lifecycle while playing a vital role in shaping our data and machine learning capabilities. Responsibilities
Design, develop, and deploy high-performance data analysis pipelines using traditional data processing techniques and machine learning models. Conduct data analysis, feature engineering, and architectural design to optimize data processing performance and accuracy. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate business requirements into impactful technical solutions. Develop and maintain robust, scalable machine learning pipelines using cloud services (e.g., AWS SageMaker, AWS Glue, Flink, EC2, S3, Lambda) and other relevant tools. Stay up-to-date with advancements in computer vision and machine learning, identifying opportunities to integrate innovative solutions into the business. Contribute to the development and enhancement of machine learning infrastructure and best practices. Mentor junior team members, fostering a culture of innovation, collaboration, and continuous learning. Experience and Skills
Essential: Master's degree in Computer Science, Computer Engineering, or a related field, with a focus on machine learning or data processing. 3+ years of professional experience developing and deploying data processing systems, particularly with near real-time data processing. Solid understanding of data processing concepts and architectures (e.g., ETLs, data catalogs, and visualization preparation). Proficiency in Python and experience with widely-used libraries. Strong expertise with AWS services, including SageMaker, AWS Glue, EC2, S3, and Lambda. Experience with cloud-native development and deployment methodologies. Ability to work independently and collaboratively within a team environment. Passion for machine learning and a commitment to ongoing learning and development. General: Excellent problem-solving skills and creativity in overcoming technical challenges. A growth mindset and enthusiasm for staying updated on industry trends and best practices. Strong communication and teamwork skills, with a commitment to openness and transparency. Initiative and the ability to self-start when necessary. Flexibility and a focus on contributing to overall organizational success. Bonus Points
Knowledge or experience in the aquaculture or related sectors. Familiarity with MLOps principles and best practices. Experience with distributed computing and large-scale data processing. This role provides the chance to make a tangible impact on the organization's success while growing your skills in an innovative and collaborative environment. Benefits:
37.5 hours working week 33 days annual leave Death in service at 4 x your annual salary Employee Assistance Programme Enhanced parental leave policies Birthday day off Paid bereavement leave Paid sick leave Company pension scheme Cycle to work scheme How to apply?
Please send a CV to
danielle.chapman@experis.co.uk
#J-18808-Ljbffr
