Senior Data Engineer β€” Real-Time Data & Databricks in Leicester

Senior Data Engineer β€” Real-Time Data & Databricks in Leicester

Leicester Full-Time 156000 - 156000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Build ETL/ELT pipelines and develop real-time data solutions using Azure.
  • Company: Leading tech recruitment firm in the UK with a collaborative culture.
  • Benefits: Competitive pay of Β£600/day and hybrid work flexibility.
  • Other info: Opportunity to work in a fast-paced environment with career growth potential.
  • Why this job: Join a dynamic team and enhance your skills in cutting-edge data technologies.
  • Qualifications: Strong experience with Azure, Databricks, Python, and Terraform.

The predicted salary is between 156000 - 156000 Β£ per year.

A leading tech recruitment firm in the UK is seeking a Senior Data Engineer to enhance their data engineering capabilities. This hybrid contract role focuses on building ETL/ELT pipelines, optimizing data governance, and developing real-time data solutions using Azure technologies.

The ideal candidate will have strong experience with Azure, Databricks, and proficiency in Python and Terraform. This position offers competitive pay of Β£600/day, fostering a collaborative work environment.

Senior Data Engineer β€” Real-Time Data & Databricks in Leicester employer: Nicoll Curtin

At Nicoll Curtin, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our remote work options provide flexibility, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills in the rapidly evolving field of AI Workflow Automation. Join us to be part of a dynamic team dedicated to transforming insurance operations through cutting-edge technology.

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Contact Details:

Nicoll Curtin Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Data Engineer β€” Real-Time Data & Databricks in Leicester

✨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 Nicoll Curtin!

✨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 β€” Real-Time Data & Databricks at Nicoll Curtin.

✨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 Nicoll Curtin.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer β€” Real-Time Data & Databricks at Nicoll Curtin, 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 β€” Real-Time Data & Databricks in Leicester

ETL/ELT Pipeline Development
Data Governance
Real-Time Data Solutions
Azure Technologies
Databricks
Python
Terraform

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 Nicoll Curtin, 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 Nicoll Curtin. 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 Nicoll Curtin

✨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 Nicoll Curtin!

✨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.