At a Glance
- Tasks: Design and optimise Snowflake data solutions for exciting enterprise projects.
- Company: Join Computacenter, a leading IT infrastructure services provider with a collaborative culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with a strong sense of community and teamwork.
- Why this job: Be part of transformative cloud data engineering projects with cutting-edge technology.
- Qualifications: Experience in Snowflake, SQL, Python, and cloud platforms like Azure or AWS.
The predicted salary is between 54000 - 66000 £ per year.
Location: UK - Manchester, UK - London, UK - Reading, UK - Hatfield, UK - Nottingham, UK - Milton Keynes, UK - Birmingham, UK - Edinburgh, UK - Cardiff | Job-ID: 217798 | Contract type: Standard | Business
Unit: IT Consulting Life on the team Are you an experienced Data Engineer with strong Snowflake expertise?
Do you enjoy designing scalable cloud data platforms and delivering innovative solutions for enterprise customers?
If so, we'd love to hear from you.
As part of Computacenter's Group Professional Services (GPS) team, you'll work alongside over 1,000 technology specialists delivering cutting-edge data solutions across a range of exciting customer projects.
What you'll do Design, build and optimise Snowflake data warehouse solutions Develop scalable ETL pipelines and data models Integrate Snowflake with Azure and AWSOptimise data performance, quality and security Collaborate with customers and project teams to deliver high-quality solutions Act as the Snowflake technical SME within delivery teams What you'll need Proven experience designing and implementing Snowflake data warehouse solutions Strong SQL/T-SQL and data modelling skills Experience with Python and ETL development Knowledge of Azure and/or AWS cloud platforms Experience working within Agile environments Excellent communication and stakeholder management skills Desirable Terraform, CI/CD, Docker, Kubernetes and Dev Ops practices.
Certifications: Snow Pro Core AWS Data Engineer Associate and/or Microsoft Azure Data Engineer certifications are highly desirable.
If you're passionate about cloud data engineering and want to work on enterprise-scale transformation projects with one of the UK's leading technology organisations, apply today.
About us Computacenter is a leading independent provider of IT infrastructure services, with about 21,000 employees worldwide.
We work at the heart of digitisation, advising organisations on IT strategy, implementing the most appropriate technology and managing our customers’ infrastructures.
We offer a friendly, open working environment without too much fuss about hierarchy.
We are looking for professionals with diverse competencies, personalities and strengths who want to live our shared value of teamwork and performance.
Interested in joining a company with a strong sense of community?We’re growing.
We’re hiring.
We encourage.
We empower.
We support.#winningtogether #peoplematter
Data Engineer (Snowflake) in Manchester employer: Computacenter
As a Senior Consultant at our company, you'll be part of a dynamic team that values innovation and collaboration, working in a vibrant location that fosters creativity and professional growth. We offer competitive benefits, a supportive work culture that encourages continuous learning, and unique opportunities to lead impactful projects in the cloud technology space. Join us to not only advance your career but also to make a meaningful contribution to cutting-edge solutions in enterprise private cloud platforms.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Snowflake) in Manchester
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We think you need these skills to ace Data Engineer (Snowflake) in Manchester
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 Computacenter, 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. 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
✨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
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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.
