At a Glance
- Tasks: Dive into data mining, integration, and visualisation to transform raw data into insights.
- Company: Join AERMOR, a forward-thinking company focused on data management and analysis.
- Benefits: Enjoy a competitive salary, health benefits, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on career advancement.
- Why this job: Make an impact by leveraging AI/ML techniques in exciting data projects.
- Qualifications: Degree in Data Science or related field; experience with programming languages like R and Python.
The predicted salary is between 40000 - 55000 £ per year.
AERMOR is seeking a highly motivated and experienced Data Engineer to support data analysis and data management functions across enterprise and test environments. The successful candidate will have proven technical capability in data mining, integration, transformation, visualization, and backend data systems, along with experience supporting data collection and verification activities. This is not a remote position.
Responsibilities:
- Perform data mining, cleaning, integration, transformation, manipulation, and visualization for small to large datasets.
- Apply software and programming languages and tools such as R, Python, SAS, SPSS, STATA, Tableau, and PowerBI to support data analysis and reporting.
- Design, implement, and maintain data management systems to support collection, storage, and lifecycle management of test data.
- Develop data collection plans, including methodologies and storage strategies for raw and processed data.
- Support verification and validation of data collection and accreditation plans in test planning activities.
- Manage and coordinate the equipment and resources required to implement data collection during testing.
- Incorporate AI/ML techniques into data analysis workflows.
- Analyze structured and unstructured data, leveraging backend technologies such as SQL, NoSQL, and High‑Performance Computing (HPC).
Qualifications:
- Undergraduate or graduate degree in one of the following disciplines: Data Science, Computer/Information Science, Information Systems Management, Archives/Digitization Management, Management of Information Systems, Mathematics, or Engineering.
- In lieu of degree: equivalent coursework that involved the development or adaptation of computer programs and systems providing knowledge comparable to a major in the Data Science field.
- Active Secret clearance is required.
Data Engineer in Norfolk employer: Aermor
AERMOR is an exceptional employer that fosters a collaborative and innovative work culture in Norfolk, where employees are encouraged to grow their skills and advance their careers. With a focus on meaningful data-driven projects, the company offers competitive benefits, opportunities for professional development, and a supportive environment that values teamwork and creativity. Joining AERMOR means being part of a forward-thinking team dedicated to excellence in data engineering and analysis.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Norfolk
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, visualisations, and any cool stuff you've built using R, Python, or other tools. This will give employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tasks. Practice explaining your thought process when tackling data problems, as this will help you stand out during technical interviews.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Engineer in Norfolk
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data mining, integration, and the specific tools mentioned in the job description like Python and SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a great fit for AERMOR. We love seeing enthusiasm and a personal touch!
Showcase Relevant Projects:If you've worked on any projects that involved data analysis or management, be sure to include them. We want to see real examples of your work, especially if they relate to the responsibilities listed in the job description.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it’s super easy to do!
How to prepare for a job interview at Aermor
✨Know Your Tech Stack
Make sure you’re familiar with the programming languages and tools mentioned in the job description, like R, Python, and SQL. Brush up on your data mining and visualisation skills, as you might be asked to demonstrate your knowledge during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've applied your data engineering skills. Highlight your experience with data integration, transformation, and any AI/ML techniques you've used. Real-world examples will help you stand out!
✨Understand the Company’s Needs
Research AERMOR and understand their focus on data management and analysis. Tailor your responses to show how your skills can directly support their goals, especially in test environments and data collection activities.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about their current data challenges or the technologies they use. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
