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For Companies At a Glance
- Tasks: Design and implement cutting-edge data processing platforms and pipelines.
- Company: Join a forward-thinking team in the Defence sector.
- Benefits: Competitive salary, performance bonus, and hybrid working model.
- Why this job: Make an impact with innovative data solutions and big data tools.
- Qualifications: Experience in data engineering, SQL, NoSQL, and Python required.
- Other info: Exciting opportunities for career growth in a dynamic environment.
The predicted salary is between 42000 - 66000 £ per year.
Overview
We are seeking an experienced Data Engineer to join our Data Team to help develop state of the art processing platforms. A background in Defence is desirable.
Responsibilities
- Collaborate to design and implement data processing platforms and pipelines.
- Work with SQL and NoSQL databases.
- Utilise data extraction and processing tools (ETL, ESB, API).
- Develop data processing solutions using Python.
- Exposure to big data tools (e.g. Hadoop).
Key Details
- Salary up to £55k.
- Performance bonus.
- Hybrid in Stevenage office (2/3 days a week).
- Requires eligibility for SC Clearance.
Employment type
- Full-time
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Data Engineer employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working as Data Engineers. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data processing projects, especially those using Python or big data tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and NoSQL databases. Be ready to discuss your experience with ETL processes and how you've tackled data challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data processing platforms and tools like SQL, NoSQL, and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
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 skills can contribute to our Data Team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, make sure to mention any experience you have with big data tools like Hadoop or ETL processes. We’re looking for someone who can hit the ground running, so let us know what you’ve got!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Anson McCade
✨Know Your Data Tools
Make sure you brush up on your SQL and NoSQL skills before the interview. Be ready to discuss your experience with data extraction and processing tools like ETL, ESB, and APIs. Having specific examples of how you've used these tools in past projects will really impress them.
✨Showcase Your Python Skills
Since developing data processing solutions using Python is a key part of the role, be prepared to talk about your Python projects. If possible, bring along code snippets or examples that demonstrate your problem-solving abilities and coding style.
✨Understand Big Data Concepts
Familiarise yourself with big data tools like Hadoop. Even if you haven't worked directly with them, understanding their purpose and how they fit into data processing pipelines can show your enthusiasm for the field and your willingness to learn.
✨Prepare for Collaboration Questions
As collaboration is crucial in this role, think of examples where you've successfully worked in a team to design or implement data solutions. Be ready to discuss how you handle feedback and contribute to group projects, as this will highlight your teamwork skills.
