285 Sql Queries jobs in the United Kingdom

RBA Production Supervisor (Database Management)

Location: Coulport, near Helensburgh (Scotland - 20 minutes north of Helensburgh)

Package: Starting from 40,000 (Dependant on experience and suitability for the role)

Working pattern: Monday - Thursday (core hours) with opportunity to increase earnings through shifts and overtime, which will include occasional weekend working and shifts over 7-days.

Please note, it is preferable that candidates have a recognised craft apprenticeship (Electrical or Mechanical) but we will also accept applications from candidates with an HND or a degree in an engineering type discipline plus relevant demonstrable experience

Ready to play your part?

At AWE, it's not just a job, it's far more than that. Our shared purpose is to help keep the nation safe. Could this role be the opportunity for you to play your part?

The RBA Production Supervisor is responsible for overseeing and coordinating the daily operations and database management of the production floor to ensure that manufacturing processes run smoothly, efficiently, and safely. The role involves managing a team of production staff, ensuring quality standards are met, and achieving production targets within set deadlines.

We are seeking a proactive and detail-oriented Production Supervisor to oversee daily operations, ensure efficiency, and lead a team to meet performance goals. The ideal candidate will have strong leadership skills, a passion for process improvement, experience with database management and the ability to thrive in a unionised environment.

If you enjoy being focused on outputs and delivery, understand quality, safety, compliance, working to key performance indicators, then this role will be a great match for you.

Key Accountabilities and Responsibilities:

Production Management

• Plan, organise, and oversee production schedules to meet customer demands and deadlines.

• Monitor production processes and adjust schedules as needed to optimise efficiency.
  

Database Management

• Maintenance schedules

• Equipment Database Management & Consumables control
  

Continuous Improvement

• Implement lean manufacturing principles and best practices.
  

Team Supervision

• Assign tasks and responsibilities to team members based on skills and workload.

• Conduct regular team meetings to communicate goals, updates, and address concerns.
  

Quality Assurance

• Ensure that all products meet quality standards and specifications.

• Work closely with the Quality Assurance team to implement corrective actions.
  

Health and Safety

• Enforce compliance with health and safety regulations on the production floor.

• Conduct regular safety inspections and risk assessments.
  

Resource Management

• Coordinate with procurement and logistics teams to ensure timely availability of resources.

• Minimise waste and optimise the use of materials and equipment.

Reporting and Documentation

• Maintain accurate records of production data, including output, downtime, and efficiency.

• Document and report any incidents, accidents, or equipment malfunctions.

Who are we looking for?

We do need you to have the following:

• Strong leadership and team management skills.

• Excellent problem-solving and decision-making abilities.

• Experience with Database management is essential

Whilst not to be considered a tick list, we'd like you to have experience in some of the following:

• Good understanding of production processes and equipment.

• Knowledge of quality control standards and health and safety regulations.

• Ability to work under pressure and meet tight deadlines.

• Strong communication and interpersonal skills.

• Proficiency in using production management software and tools.

Some reasons we think you'll love it here:

AWE has wide range of benefits to suit you. These include:

• Time to recharge your batteries with 266 hours of annual leave.

• Subsidised Transport Service to the site.

• Opportunities for Professional Career Development that include funding for the annual membership of a relevant professional body, access to mentors and training.

• Employee Assistance Programme and on-site Occupational Health Services, which includes access to physiotherapy, GP, counselling support, financial advice.

• A generous defined contribution Group Personal Pension (we will pay between 9% and 13% of your pensionable pay depending on your own contribution)

• Life Assurance

• Discounts - access to savings on a wide range of everyday spending

• Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring for your family.

• A host of voluntary & core benefits to suit your health and wellbeing - more information available on our careers site.

• On-site canteen and re-furbished gymnasium.

Due to the nature of the role, you will be required to work shifts (covering 24/7 and overtime including the weekends), so it's essential that you are flexible on working hours.

#LI-ZB

RBA Production Supervisor (Database Management)

Location: Coulport, near Helensburgh (Scotland - 20 minutes north of Helensburgh)

Package: Starting from £40,000 (Dependant on experience and suitability for the role)

Working pattern: Monday - Thursday (core hours) with opportunity to increase earnings through shifts and overtime, which will include occasional weekend working and shifts over 7-days.

Ple.

• Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
• Analyse production data to identify trends, deviations, and performance metrics.
• Assist in the execution of cleaning validation protocols in line with GMP requirements.
• Bring in SQL / Power BI approaches to improve the site approach to data.
• Support sampling, documentation, and coordination of validation activities.

• GMP experience is essential
• Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
• Understanding of cleaning validation principles and documentation practices.
• Experience with data handling and analytics
• Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence

• Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
• Analyse production data to identify trends, deviations, and performance metrics.
• Assist in the execution of cleaning validation protocols in line with GMP requirements.
• Bring in SQL / Power BI approaches to improve the site approach to data.
• Support sampling, documentation, and coordination of validation activities.

• GMP experience is essential
• Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
• Understanding of cleaning validation principles and documentation practices.
• Experience with data handling and analytics
• Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence

• Assist in collecting, cleaning, and processing large datasets.
• Perform data analysis to identify trends, patterns, and insights.
• Develop data visualisations and reports to communicate findings.
• Support senior analysts in various data-related projects.
• Learn and apply statistical methods and analytical techniques.
• Gain proficiency in data analysis tools and software (SQL, Python, R).
• Collaborate with team members in a remote setting.
• Contribute to documentation and knowledge sharing.
• Participate actively in training sessions and workshops.
• Help to ensure data accuracy and integrity.

• Recent graduate with a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Engineering).
• Strong analytical and problem-solving abilities.
• Aptitude for working with numbers and data.
• Basic understanding of statistical concepts is beneficial.
• Familiarity with programming languages like Python or R is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and manage time effectively.
• Strong attention to detail.
• Enthusiasm for learning and developing data analysis skills.
• Access to a reliable internet connection for remote work.

• Leading forensic accounting investigations involving large and complex datasets.
• Developing and applying data analytics techniques to detect fraud, money laundering, and other financial irregularities.
• Utilizing forensic accounting software and data visualization tools (e.g., ACL, IDEA, Tableau) for analysis and reporting.
• Performing detailed financial analysis to quantify economic damages and support litigation.
• Extracting, transforming, and analyzing data from various sources, including accounting systems and databases.
• Preparing comprehensive forensic reports and executive summaries.
• Serving as an expert witness in legal proceedings, presenting findings clearly and effectively.
• Collaborating with legal counsel and clients to understand investigative objectives and requirements.
• Mentoring and guiding junior forensic accountants and analysts.
• Staying current with emerging trends in data analytics, cybersecurity, and forensic accounting.

• Lead the design, development, implementation, and maintenance of scalable bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
• Analyse and interpret complex genomic and transcriptomic datasets to identify genetic variants, gene expression patterns, and other biologically relevant insights.
• Collaborate closely with biologists, geneticists, clinicians, and computational scientists to define project goals and analytical strategies.
• Develop and apply statistical and machine learning methods for genomic data analysis.
• Ensure the quality, reproducibility, and documentation of all bioinformatics analyses and workflows.
• Stay abreast of the latest advancements in bioinformatics, genomics, and related computational fields.
• Mentor and guide junior bioinformaticians and data analysts.
• Contribute to research proposals, grant applications, and publications.
• Manage data storage, processing, and computational resources effectively.
• Present findings to scientific teams and external collaborators.

• PhD in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
• Minimum of 6 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics data analysis.
• Extensive experience with NGS data processing and analysis pipelines (e.g., BWA, GATK, STAR, Salmon).
• Proficiency in programming languages such as Python, R, and shell scripting.
• Strong knowledge of statistical methods and machine learning techniques applicable to genomics.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity) is highly desirable.
• Proven ability to manage complex projects and lead a small team.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with a track record of publications.
• Ability to work independently and collaboratively in a remote research environment.

At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the worlds leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer SOX Algorithm to be based at our customers site in Gaydon .

Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under th.

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