Data Engineer - Cloud, Warehousing & Analytics

Data Engineer - Cloud, Warehousing & Analytics

Full-Time 45000 - 55000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and implement data solutions using Python, SQL, and cloud platforms.
  • Company: Join a dynamic startup focused on innovative data engineering.
  • Benefits: Flexible work environment, opportunities for growth, and a collaborative team culture.
  • Other info: Embrace continuous learning and knowledge sharing in an Agile and DevOps environment.
  • Why this job: Make an impact by delivering modern data solutions in a fast-paced setting.
  • Qualifications: Experience with Snowflake, BigQuery, Redshift, and visualisation tools like Power BI or Tableau.

The predicted salary is between 45000 - 55000 £ per year.

amarti Ltd. is seeking a data engineer to strategy, analytics and modelling with strong data engineering skills across Python, SQL, and cloud platforms.

You will work within a collaborative startup team to deliver modern data solutions using Agile and Dev Ops practices.

Ideal candidates have experience with Snowflake, Big Query, Redshift, and visualization tools like Power BI or Tableau, and are committed to continuous learning and knowledge sharing within the team.

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Data Engineer - Cloud, Warehousing & Analytics employer: Amarti Ltd.

At amarti Ltd., we pride ourselves on being an excellent employer that fosters a dynamic and collaborative work culture, perfect for innovative minds in the data engineering field. Our startup environment encourages continuous learning and knowledge sharing, providing ample opportunities for professional growth while working with cutting-edge technologies like Snowflake and BigQuery. Join us in our mission to deliver impactful data solutions and be part of a team that values your contributions and supports your career development.

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Contact Details:

Amarti Ltd. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer - Cloud, Warehousing & Analytics

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Apply Directly through Our Website

When you find a suitable opening like Data Engineer - Cloud, Warehousing & Analytics at Amarti Ltd., 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 Data Engineer - Cloud, Warehousing & Analytics

Data Engineering
Python
SQL
Cloud Platforms
Snowflake
BigQuery
Redshift

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 Amarti Ltd., 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 Amarti Ltd.. 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 Amarti Ltd.

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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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 Amarti Ltd.!

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.