Data Engineer - Databricks Lakehouse Pipelines in London

Data Engineer - Databricks Lakehouse Pipelines in London

London Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build modern data platforms using Databricks Lakehouse.
  • Company: Unifeye, a leading consultancy focused on data and AI.
  • Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on best engineering practices.
  • Why this job: Join a dynamic team and make an impact in the data-driven world.
  • Qualifications: Experience in data engineering and familiarity with Databricks.

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

Unifeye is a delivery-led, Databricks first consultancy helping organisations unlock the full value of their data and AI. London-based with a hybrid working model, Unifeye builds scalable data platforms across industries, delivering production-grade solutions and contributing to engineering best practices.

You will design, build and deliver modern data platforms on the Databricks Lakehouse Platform, collaborating with architects and client stakeholders to translate business needs into actionable solutions.

Data Engineer - Databricks Lakehouse Pipelines in London employer: Unifeye - The Databricks Experts

Unifeye is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise as a Data Architect will be valued and nurtured. Located in the vibrant city of London, we offer flexible hybrid working arrangements, competitive benefits, and ample opportunities for professional growth and mentorship, ensuring you can thrive while contributing to cutting-edge AI solutions on the Databricks Lakehouse Platform.

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Contact Details:

Unifeye - The Databricks Experts Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer - Databricks Lakehouse Pipelines in London

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We think you need these skills to ace Data Engineer - Databricks Lakehouse Pipelines in London

SQL
Python
Problem-Solving Skills
Data Engineering
Data Pipeline Development
Communication Skills
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!

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Craft a Tailored Cover Letter:For a full-time role at Unifeye - The Databricks Experts, 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 Unifeye - The Databricks Experts. 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 Unifeye - The Databricks Experts

Brush Up on Your Statistics

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Get Comfortable with Python and R

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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.