Hybrid Data Engineer – AWS Analytics & Observability in Belfast

Hybrid Data Engineer – AWS Analytics & Observability in Belfast

Belfast Full-Time 63000 - 77000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and optimise data platforms for analytics in Defence using AWS.
  • Company: Join Deloitte, a leader in innovative data solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and career development.
  • Other info: Dynamic work environment with opportunities for growth and learning.
  • Why this job: Be part of agile teams and make a difference in Defence analytics.
  • Qualifications: Experience in data engineering and familiarity with AWS tools.

The predicted salary is between 63000 - 77000 Β£ per year.

Deloitte is seeking Data Engineers to design, build, and optimize modern data platforms that power analytics in the Defence, maintain observability, CI/CD via Drone, and IaC with Terraform; collaboration in agile teams.

Hybrid Data Engineer – AWS Analytics & Observability in Belfast employer: Deloitte - Recruitment

Join a leading financial services organisation in Basildon, where we prioritise compliance and regulatory assurance in a supportive hybrid work environment. Our culture fosters professional growth through continuous training and development opportunities, ensuring you can thrive in your role as a Remediation Compliance Specialist. With a commitment to employee well-being and a collaborative atmosphere, we offer a unique chance to make a meaningful impact while enjoying the flexibility of working from home.

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Contact Details:

Deloitte - Recruitment Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Hybrid Data Engineer – AWS Analytics & Observability in Belfast

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We think you need these skills to ace Hybrid Data Engineer – AWS Analytics & Observability in Belfast

Data Engineering
AWS Analytics
Observability
CI/CD
Drone
Infrastructure as Code (IaC)
Terraform

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Deloitte - Recruitment, 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 Deloitte - Recruitment. 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 Deloitte - Recruitment

✨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

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✨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.