At a Glance
- Tasks: Design and implement scalable data solutions using AWS and emerging technologies.
- Company: Join a leading Advanced Technology Centre in Newcastle with a collaborative culture.
- Benefits: Competitive salary, 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Flexible working environment with opportunities for career growth and client engagement.
- Why this job: Make an impact by solving Big Data challenges and mentoring fellow engineers.
- Qualifications: Hands-on AWS experience, strong SQL and Python skills, and knowledge of Cloud Security.
Location: Newcastle
Hybrid Working: This role will require you to work from our Newcastle, Cobalt Business Park office 3 days per week.
Security Clearance: Any offer of employment is subject to satisfactory BPSS and SC clearance requiring 5 years continuous UK address history at the point of application.
Overview: Our Advanced Technology Centre delivers high quality services to a range of clients. This role is an opportunity to build scalable data solutions.
Responsibilities
- Work with client teams to design and implement modern, scalable data solutions using AWS and emerging technologies.
- Use effective communication skills to understand and deliver client requirements.
- Contribute to innovative engineering, design, and strategy.
- Mentor and upskill fellow group members.
- Participate in internal networks and special interest groups.
Qualifications
- Hands‑on design and engineering in AWS with demonstrated experience on major projects.
- Broad knowledge of AWS services: EC2, Storage, Security, EKS, ECS, Fargate, IAM, Cloud Networking, processing, and ML.
- Strong programming skills in SQL and Python.
- Experience addressing Big Data challenges such as large table sizes and even data distribution.
- Experience with Infrastructure‑as‑Code tools such as Terraform and Ansible.
- Deep understanding of Cloud Security and ability to balance flexibility and security principles.
- Experience on full life‑cycle projects.
- Capability to work in agile or Waterfall environments, individually and in teams.
- Strong stakeholder management and collaborative mindset.
Set Yourself Apart
- Client‑facing experience.
- Industry relevant certifications – AWS Solution Architect Associate or Professional (preferred).
- Team management or multi‑project experience.
Benefits
- Competitive base salary, 25 days vacation per year, private medical insurance, and 3 extra days leave per year for charitable work.
- Flexibility and mobility may be required for onsite client engagements.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity, genetic information, marital status, citizenship status or any other basis protected by applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
AWS Data Engineer - Newcastle in Newcastle upon Tyne employer: Dormont Manufacturing Co
Join our dynamic team at the Advanced Technology Centre in Newcastle, where we foster a collaborative and innovative work culture that prioritises employee growth and development. With competitive benefits including 25 days of vacation, private medical insurance, and additional leave for charitable work, we are committed to supporting our employees both professionally and personally. This role not only offers the chance to work on cutting-edge AWS projects but also provides opportunities to mentor others and engage in special interest groups, making it an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer - Newcastle in Newcastle upon Tyne
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Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
