Data Platform Engineer – Cloud, ELT & Analytics in Manchester

Data Platform Engineer – Cloud, ELT & Analytics in Manchester

Manchester Full-Time 55000 - 65000 Β£ / year (est.) No working from home possible
Aj Bell

At a Glance

  • Tasks: Design and build scalable data solutions for data-driven decision making.
  • Company: Join AJ Bell, a leader in financial services with a dynamic team.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
  • Other info: Collaborative culture with a focus on innovation and career development.
  • Why this job: Make an impact by evolving our data platform in a fast-paced environment.
  • Qualifications: Experience with cloud platforms, Python, and data engineering tools.

The predicted salary is between 55000 - 65000 Β£ per year.

AJ Bell is seeking a Data Engineer to join a dynamic, experienced Data Engineering team.

You will help design, build, and evolve our data platform, enabling data-driven decision making across the business.

The role involves end-to-end data infrastructure work, collaborating with stakeholders, and delivering scalable data solutions in a fast-growing financial services environment.

You will work with cloud data platforms (Snowflake, Big Query, Redshift), DBT, Python and CI/CD tools, while ensuring

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Data Platform Engineer – Cloud, ELT & Analytics in Manchester employer: Aj Bell

AJ Bell is an excellent employer, offering a vibrant work culture that fosters collaboration and innovation in the heart of London. With a strong focus on employee growth, we provide opportunities for professional development and a hybrid working model that promotes work-life balance, making it an ideal place for those looking to make a meaningful impact in the field of data strategy.

Aj Bell

Contact Details:

Aj Bell Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Platform Engineer – Cloud, ELT & Analytics in Manchester

✨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 Bell!

✨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 Data Platform Engineer – Cloud, ELT & Analytics at Aj Bell.

✨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 Bell.

✨Apply Directly through Our Website

When you find a suitable opening like Data Platform Engineer – Cloud, ELT & Analytics at Aj Bell, 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 Data Platform Engineer – Cloud, ELT & Analytics in Manchester

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

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 Bell, 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 Bell. 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 Bell

✨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 Bell!

✨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.