Senior Data Engineer, Databricks Lakehouse & Data Contracts in Newtownabbey

Senior Data Engineer, Databricks Lakehouse & Data Contracts in Newtownabbey

Newtownabbey Full-Time 50000 - 65000 £ / year (est.) No working from home possible
Everway

At a Glance

  • Tasks: Lead the design and delivery of enterprise data products on Databricks.
  • Company: Everway, a growing EdTech SaaS company based in Northern Ireland.
  • Benefits: Competitive salary, flexible work schedules, and career growth opportunities.
  • Other info: Join a collaborative team and make a real impact in the EdTech space.
  • Why this job: Tackle complex engineering challenges and shape engineering standards in a dynamic environment.
  • Qualifications: Significant experience in data engineering, Databricks, SQL, and Python.

The predicted salary is between 50000 - 65000 £ per year.

Everway, based in Northern Ireland, seeks a Principal Data Engineer who will lead the design and delivery of enterprise data products on Databricks. This senior IC role requires significant experience in data engineering, particularly with Databricks, SQL, and Python. You'll solve complex engineering challenges and influence engineering standards in a growing EdTech SaaS environment.

This position comes with competitive salary and benefits, including flexible work schedules and opportunities for career growth.

Senior Data Engineer, Databricks Lakehouse & Data Contracts in Newtownabbey employer: Everway

Everway is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those in the EdTech sector. With a focus on employee growth, we offer competitive salaries, flexible work schedules, and the chance to tackle complex engineering challenges while influencing industry standards. Join us in Northern Ireland to be part of a forward-thinking team dedicated to shaping the future of education through technology.

Everway

Contact Details:

Everway Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer, Databricks Lakehouse & Data Contracts in Newtownabbey

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 Everway!

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, Databricks Lakehouse & Data Contracts at Everway.

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 Everway.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer, Databricks Lakehouse & Data Contracts 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 Senior Data Engineer, Databricks Lakehouse & Data Contracts in Newtownabbey

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

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.