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Multi-Skilled Maintenance Engineer Location: Walsall Salary: £50,000 Industry: Metal Recycling Reference: MMT-DB Our client, a well-established, family run metal recycling business that is continuing to grow strongly within the sector, is seeking a highly skilled and motivated Multiskilled Maintenance Engineer to join their team. This is a hands on role combining both machine operation and maintenance responsibility, working at the heart of their cable granulation operation. The successful candidate will be responsible for operating a cable granulation machine on a daily basis while also carrying out preventative maintenance, diagnostics, and fault-finding to ensure maximum efficiency and minimal downtime. This is an excellent opportunity for a mechanically and electrically qualified engineer who enjoys a mix of hands-on production and technical problem solving. Key Responsibilities • Operate the cable granulation machine safely and efficiently on a daily basis., • Carry out planned preventative maintenance (PPM) across machinery and equipment., • Diagnose and repair mechanical and electrical faults as they arise., • Minimise downtime by responding quickly to machine breakdowns., • Strip down, inspect, repair, and reassemble machinery components where required., • Monitor machine performance and identify opportunities for efficiency improvements., • Ensure all work is carried out in line with health & safety procedures., • Work closely with production teams to maintain smooth operational flow., • Maintain accurate maintenance records and logs., • Support continuous improvement initiatives across the site. Key Skills & Experience • Degree (or equivalent qualification) in Mechanical and Electrical Maintenance Engineering or similar discipline., • Strong understanding of both mechanical and electrical systems., • Proven experience in fault-finding and maintenance within a production or heavy industrial environment., • Comfortable operating machinery as part of daily responsibilities., • Experience within recycling, manufacturing, or heavy industry preferred., • Strong diagnostic and problem solving skills., • Ability to work independently and take ownership of equipment performance., • Strong awareness of health & safety standards., • Reliable, hands on, and proactive approach to maintenance and operations. Package & Benefits • Monday to Thursday: 07:00 – 17:00 / Friday: 07:00 – 16:00, • £50,000, • 28 days annual leave including Bank Holidays, • Standard company pension, • Opportunity to join a growing, family-run business with strong market presence, • Long-term stability and progression potential To Contact Direct Daniel Barnett Managing Consultant 0151 209 2050 At Aspion, our core values have been built around the importance of transparency, innovation, passion and collaboration. As such, we are committed to open communication and the protection of your privacy. We have updated our policies in line with new General Data Protection Regulation laws to make it easier for you to understand how we collect, store and handle your data – These can be viewed on our website.

Software Developer Permanent | Hybrid (willing to travel to Newcastle) | Python | Apache | Data | SC cleared Hybrid work arrangement. Office attendance is up to 60%. Location is flexible: London, Leeds, Newcastle, Sheffield, Blackpool, Manchester and Birmingham. You must be willing to travel to Newcastle when required. The Role: We are looking for Software Developers with strong Python and data processing with Apache Spark responsible to lead the design, development, and operation of data-driven applications and pipelines in a collaborative Dev and DevOps environment. The role focuses on writing and improving application code while working closely with DevOps engineers to support automated deployments, infrastructure management, system monitoring, reliability, and scaling. The post holder collaborates with Product Owners, Business Analysts, and users to translate business needs into robust technical solutions, operates and improves production services, analyses data and system issues to identify root causes, and champions engineering best practices. They also provide technical leadership through coaching and mentoring junior colleagues and contributing to continuous improvement across development, delivery, and operational processes. Responsibilities: Engineers will contribute to research, development and delivery across: Design, build, and operation of data ingest and publishing pipelines Workflow orchestration and task scheduling using managed services Collaboration with Product Owners, Business Analysts, and users to shape technical solutions Production support, monitoring, and continuous improvement of system resilience, stability, and performance Data analysis and investigation to identify root causes of defects and operational issues DevOps collaboration, including supporting automated deployments, infrastructure management, monitoring, and scaling Coaching and mentoring junior engineers and promoting engineering best practices Skills & Experience: Understanding of data processing using Apache Spark Use of Python, SQL, and familiarity with PySpark Experience using Apache Airflow for task orchestration Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis to identify root cause of issues Understanding of dimensional data models and slowly changing dimensions/historic data capture Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB, LakeFormation Familiarity with Amazon Textract and Comprehend Understanding of both server-side and client-side encryption Use of GitLab for source code management pipelines for CI/CD Use of GitLab Tags for component versioning in shared repositories Understanding of Docker and containerization of solutions IaC using Terraform Experience of understanding how customer expectations transition to applied functionality Familiarity with, and implementation of Engineering best practices Use of gitlab for release tagging and deployments Familiarity with basic data structures for constructing a solution Active BPSS, SC clearance or eligible for clearance Desirable skills : Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing TPBN1_UKTJ