Senior Data Engineer

Senior Data Engineer

Full-Time 72000 - 88000 £ / year (est.) On-site
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At a Glance

  • Tasks: Design and maintain data pipelines for cutting-edge AI products.
  • Company: Join a forward-thinking company focused on AI innovation.
  • Benefits: Attractive salary, flexible working options, and growth opportunities.
  • Other info: Collaborative team environment with exciting projects.
  • Why this job: Be at the forefront of AI technology and make a real difference.
  • Qualifications: Experience in data engineering and strong SQL skills.

The predicted salary is between 72000 - 88000 £ per year.

In this role, you’ll build and own the data foundation that AJW's AI products depend on, working within the company's existing cloud data platform.

The role closes a gap in dedicated data engineering support for the AI Innovation team, enabling faster and more reliable delivery of AI features.

What you’ll be doing: Designing, building and maintaining ETL/ELT pipelines.

Writing and optimising SQL, and maintaining data models and schemas.

Working with the AI Engineer to understand and meet data needs for AI features.

Monitoring data pipeline health and troubleshooting issues.

Liaising with the wider Data

Senior Data Engineer employer: Aj Walter Aviation

At AJW, we pride ourselves on being more than just a business; we are a global team dedicated to shaping the future of aviation. Our innovative and inclusive workplace fosters personal growth and operational excellence, offering benefits such as a fun team budget, access to LinkedIn learning, and a modern office environment with amenities like an onsite gym and restaurant. Join us to be part of a supportive culture that values collaboration and flexibility, ensuring you thrive in your role as Head of Teardowns.

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Contact Details:

Aj Walter Aviation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer

✨Get Involved in Data Science Meetups

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 Aj Walter Aviation!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Aj Walter Aviation.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aj Walter Aviation.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer at Aj Walter Aviation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Engineer

Python
Problem-Solving Skills
Data Engineering
SQL
Communication Skills
ETL/ELT Processes
Data Warehousing

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 Aj Walter Aviation, 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 Aj Walter Aviation. 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 Aj Walter Aviation

✨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!

✨Showcase Your Projects

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 Aj Walter Aviation!

✨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.