AI-Driven Data Engineer: AWS, SQL & Pipelines in Stockport

AI-Driven Data Engineer: AWS, SQL & Pipelines in Stockport

Stockport Full-Time 60000 - 75000 £ / year (est.) No working from home possible
CDL Software

At a Glance

  • Tasks: Build and maintain cloud-ready data pipelines using AI-assisted engineering.
  • Company: Join CDL Software, a leader in innovative data solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous improvement.
  • Why this job: Make an impact in the insurance sector with cutting-edge technology.
  • Qualifications: Strong SQL, PostgreSQL, AWS experience, and DevOps practices required.

The predicted salary is between 60000 - 75000 £ per year.

CDL Software is seeking an Intermediate Data Engineer to join our Insurance Retail data team in the UK.

You will build and maintain cloud-ready data pipelines, apply security, and leverage AI-assisted engineering to improve delivery and documentation.

Collaboration with engineers, analysts and stakeholders is essential.

We value strong SQL, Postgre SQL, and AWS experience, plus Dev Ops practices. The role includes ownership across development to production support and ongoing improvements.

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AI-Driven Data Engineer: AWS, SQL & Pipelines in Stockport employer: CDL Software

At CDL, we pride ourselves on being a top employer for the tenth consecutive year, offering a vibrant work culture that promotes flexibility and employee well-being. Our hybrid working model, coupled with extensive training and development opportunities, ensures that you can grow your career while enjoying a balanced lifestyle. With modern office facilities, a strong commitment to diversity and inclusion, and numerous social activities, CDL is an excellent place to build a meaningful and rewarding career as a Compliance Auditor in the North West UK.

CDL Software

Contact Details:

CDL Software Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI-Driven Data Engineer: AWS, SQL & Pipelines in Stockport

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 CDL Software!

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 AI-Driven Data Engineer: AWS, SQL & Pipelines at CDL Software.

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 CDL Software.

Apply Directly through Our Website

When you find a suitable opening like AI-Driven Data Engineer: AWS, SQL & Pipelines at CDL Software, 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 AI-Driven Data Engineer: AWS, SQL & Pipelines in Stockport

SQL
Python
Data Pipeline Development
Problem-Solving Skills
Data Engineering
API Integration
Communication Skills

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 CDL Software, 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 CDL Software. 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 CDL Software

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 CDL Software!

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.