Senior Data Engineer - Cloud Data Warehousing & Mentoring

Senior Data Engineer - Cloud Data Warehousing & Mentoring

Full-Time 80000 - 80000 £ / year (est.) Home office (partial)
Oliver Bernard

At a Glance

  • Tasks: Design and implement data solutions using SQL and Python while mentoring junior engineers.
  • Company: Boutique Data Consultancy in Greater London with a focus on innovation.
  • Benefits: Competitive salary up to £80k, flexible work arrangements, and mentorship opportunities.
  • Other info: Work 2 days a week in London and gain valuable SC Clearance.
  • Why this job: Join a dynamic team and make a real impact in the data engineering field.
  • Qualifications: 5+ years of experience in data engineering and strong SQL/Python skills.

The predicted salary is between 80000 - 80000 £ per year.

Oliver Bernard is partnering with a Boutique Data Consultancy in Greater London looking for a skilled data engineer with at least 5 years of experience. You will utilize SQL and Python for data solutions, manage stakeholders, and provide mentorship to junior engineers.

This role requires 2 days a week in London, offering a competitive salary of up to £80k per annum. Candidates must have full right to work in the UK and be eligible for SC Clearance.

Senior Data Engineer - Cloud Data Warehousing & Mentoring employer: Oliver Bernard

Join a dynamic Boutique Data Consultancy in Greater London, where innovation meets collaboration. With a strong focus on employee growth and mentorship, this company offers a supportive work culture that values your contributions while providing opportunities to advance your career. Enjoy the flexibility of hybrid working, competitive salaries, and the chance to work with cutting-edge technologies in a vibrant city.

Oliver Bernard

Contact Details:

Oliver Bernard Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer - Cloud Data Warehousing & Mentoring

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Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer - Cloud Data Warehousing & Mentoring at Oliver Bernard, 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 - Cloud Data Warehousing & Mentoring

SQL
Python
Data Engineering
Stakeholder Management
Mentoring
Cloud Data Warehousing
Experience in Data Solutions

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 Oliver Bernard, 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 Oliver Bernard. 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 Oliver Bernard

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!

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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 Oliver Bernard!

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.