At a Glance
- Tasks: Develop and optimise AWS data pipelines for innovative AI solutions.
- Company: Join the UK government in shaping future data initiatives.
- Benefits: Competitive salary, impactful work, and opportunities for growth.
- Other info: Dynamic role with potential for career advancement in a regulated environment.
- Why this job: Make a difference by enhancing data intelligence for the UK government.
- Qualifications: Experience with AWS services, SQL, Python, and AI/ML concepts.
The predicted salary is between 50000 - 60000 £ per year.
Are you a Data Engineer looking for an opportunity to shape both current Business Intelligence delivery and next‑generation data and AI solutions for the UK government? As Data Engineer you will develop and optimise AWS data pipelines and BI solutions that underpin a modern data platform and emerging AI initiatives. You’ll split your time between supporting existing reporting and analytics and building out new data platform and AI‑driven capabilities.
As such, I am keen to speak with candidates who have:
- Strong hands‑on experience with AWS data engineering services such as Glue, S3, Lambda, Redshift or Athena.
- Advanced SQL skills for data modelling, transformation and analytics.
- Python experience for data processing and pipeline development.
- Background in data warehousing, analytics or data platform development within BI environments.
- Clear, practical exposure to AI/ML, for example cloud AI services (e.g. AWS Bedrock), AI‑enabled data products, generative AI concepts or ML pipelines.
- Experience delivering AWS‑based data solutions, ideally in complex or regulated settings.
- Familiarity with infrastructure and delivery tooling such as Terraform, APIs or CI/CD.
Salary: GBP 50,000 – 60,000 per year. Experience: 3 months required.
Data Engineer in Salisbury employer: Grand Arcade
Join a forward-thinking team dedicated to transforming data solutions for the UK government. As a Data Engineer, you'll benefit from a collaborative work culture that prioritises innovation and professional growth, with opportunities to enhance your skills in cutting-edge AI and BI technologies. Located in the heart of the UK, this role offers a unique chance to contribute to meaningful projects that impact public services while enjoying a competitive salary and a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Salisbury
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with AWS and AI/ML. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS data pipelines, SQL projects, and any AI/ML work you've done. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss your hands-on experience with tools like Glue, S3, and Redshift, and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer in Salisbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS data engineering services and advanced SQL skills. 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 AI and BI initiatives. Keep it engaging and personal!
Showcase Your Technical Skills:When detailing your experience, focus on specific tools and technologies like Glue, S3, and Python. We love seeing practical examples of how you've used these in past roles, especially in complex settings.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Grand Arcade
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS data engineering services like Glue, S3, Lambda, Redshift, and Athena. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your SQL Skills
Prepare to demonstrate your advanced SQL skills during the interview. You might be asked to solve a problem on the spot, so practice data modelling, transformation, and analytics queries beforehand. Having real examples from your experience will help you stand out.
✨Highlight Your Python Proficiency
Since Python is crucial for data processing and pipeline development, be ready to talk about your experience with it. Share specific projects where you’ve implemented Python for data tasks, and if possible, bring along code snippets or examples to showcase your work.
✨Familiarise Yourself with AI/ML Concepts
Given the focus on AI and ML in this role, make sure you understand the basics of cloud AI services and generative AI concepts. Be prepared to discuss how you've applied these technologies in your previous roles, especially in relation to data products or ML pipelines.
