Snowflake Data Engineer – Cloud DWH & ETL in Hindley

Snowflake Data Engineer – Cloud DWH & ETL in Hindley

Hindley Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Computacenter AG & Co. oHG

At a Glance

  • Tasks: Design and optimise Snowflake data warehouses and develop ETL pipelines for exciting projects.
  • Company: Join Computacenter, a leader in delivering innovative data solutions.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on innovation and career advancement.
  • Why this job: Be at the forefront of cloud technology and make a real impact on enterprise data solutions.
  • Qualifications: Experience with Snowflake and strong skills in data engineering and cloud integration.

The predicted salary is between 63000 - 77000 £ per year.

Computacenter is seeking an experienced Data Engineer with strong Snowflake expertise to design scalable cloud data platforms for enterprise customers.

You’ll work within the GPS team delivering cutting-edge data solutions across exciting client projects.

Design, build and optimise Snowflake data warehouse solutions, develop ETL pipelines, and integrate Snowflake with Azure and AWS.

You will collaborate with customers and delivery teams, acting as the Snowflake SME to ensure high-quality

#J-18808-Ljbffr

Snowflake Data Engineer – Cloud DWH & ETL in Hindley employer: Computacenter AG & Co. oHG

At Computacenter, we pride ourselves on being an excellent employer, offering a dynamic work environment in Hatfield where collaboration and innovation thrive. Our Corporate Communications team is dedicated to fostering employee growth through diverse projects and continuous learning opportunities, ensuring that every team member can make a meaningful impact during transformative initiatives. With a strong commitment to inclusivity and support for all employees, including our Disability Confident Committed status, we create a workplace where everyone can excel and contribute to our shared success.

Computacenter AG & Co. oHG

Contact Details:

Computacenter AG & Co. oHG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Snowflake Data Engineer – Cloud DWH & ETL in Hindley

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 Computacenter AG & Co. oHG!

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 Snowflake Data Engineer – Cloud DWH & ETL at Computacenter AG & Co. oHG.

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 Computacenter AG & Co. oHG.

Apply Directly through Our Website

When you find a suitable opening like Snowflake Data Engineer – Cloud DWH & ETL at Computacenter AG & Co. oHG, 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 Snowflake Data Engineer – Cloud DWH & ETL in Hindley

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

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 Computacenter AG & Co. oHG, 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 Computacenter AG & Co. oHG. 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 Computacenter AG & Co. oHG

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 Computacenter AG & Co. oHG!

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.