Principal Data Engineer, Databricks & Product Data in Newtownabbey

Principal Data Engineer, Databricks & Product Data in Newtownabbey

Newtownabbey Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Everway

At a Glance

  • Tasks: Design and deliver data products on Databricks, tackling exciting data engineering challenges.
  • Company: Join Everway, a fast-growing EdTech SaaS company with a collaborative culture.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on innovation and excellence.
  • Why this job: Make a real impact in education by shaping data solutions that drive success.
  • Qualifications: Strong experience in data engineering, particularly with Databricks and SQL.

The predicted salary is between 70000 - 90000 £ per year.

Everway is seeking a Principal Data Engineer to design and deliver data products on Databricks, leading data engineering challenges in a fast-growing EdTech SaaS environment. The role is for a senior individual contributor, requiring strong experience in data engineering, particularly with Databricks and SQL.

As a part of our collaborative culture, you will ensure the quality and governance of our data products, define engineering standards, and work closely with various stakeholders to translate technical complexities into business solutions.

Principal Data Engineer, Databricks & Product Data in Newtownabbey employer: Everway

Everway is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Principal Data Engineer to thrive. With a strong focus on employee growth and development, we offer opportunities to lead impactful data engineering projects in the dynamic EdTech sector, all while enjoying the benefits of a supportive team environment and a commitment to quality and governance in our data products.

Everway

Contact Details:

Everway Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Engineer, Databricks & Product Data in Newtownabbey

Get Involved in Data Science Meetups

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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 Principal Data Engineer, Databricks & Product Data at Everway.

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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 Everway.

Apply Directly through Our Website

When you find a suitable opening like Principal Data Engineer, Databricks & Product Data at Everway, 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 Principal Data Engineer, Databricks & Product Data in Newtownabbey

SQL
Data Pipeline Development
Python
Problem-Solving Skills
Data Governance
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 Everway, 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 Everway. 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 Everway

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 Everway!

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.