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- Tasks: Design and build scalable data pipelines in Snowflake for diverse clients.
- Company: Dynamic consultancy in Manchester specialising in innovative data solutions.
- Benefits: Competitive salary, hybrid working, and a focus on personal career development.
- Other info: Inclusive culture that champions diversity and adapts to individual needs.
- Why this job: Make your mark on exciting greenfield projects and tackle new data challenges.
- Qualifications: Experience with Snowflake, SQL, Python, and cloud platforms like Azure.
The predicted salary is between 72000 - 72000 £ per year.
Snowflake Data Engineer Manchester Salary up to £72,000 plus benefits Hybrid working
Are you ready to stop maintaining and start building? We're looking for a Snowflake Data Engineer for a permanent role with a Manchester-based consultancy that specialises in greenfield data projects. This consultancy is known for building cutting-edge data solutions for a diverse clientele. Forget being siloed in one industry; this role offers the variety to tackle new challenges and data sets across multiple sectors. Your first project will be a brand-new Snowflake implementation, giving you the chance to make your mark from the very beginning.
What You'll Be Doing:
- Designing and building scalable, high-performance data pipelines from scratch in Snowflake.
- Working directly with clients to understand their real business needs and turn them into robust technical solutions.
- Owning the performance and quality of data processes, with a focus on data modelling and performance tuning.
- Solving complex data challenges in a cloud-native environment (primarily Azure).
What You'll Need:
- Proven experience as a Data Engineer with at least two previous Snowflake projects under your belt.
- Strong proficiency in SQL and Python.
- A solid understanding of a major cloud platform (Azure preferred).
- Hands-on experience with data warehousing, data modelling, and building for scale.
Talenting Career Science focuses on you as an individual. We will adapt our processes to best suit your personal needs. Please do let us know if there are any adjustments that will assist you in your career search. Talenting champions diversity. We were founded to champion neurodiversity in recruitment, recognising traditional recruitment methods often prevent many from displaying their true qualities.
Snowflake Data Engineer - Consultancy in Manchester employer: Talenting Career Science
Contact Detail:
Talenting Career Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer - Consultancy in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous Snowflake projects and any cool data solutions you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions, especially around SQL and Python. Practise explaining your thought process when solving complex data challenges, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We’re all about making the application process smooth and straightforward. Plus, it shows you're keen on joining our team and ready to tackle exciting projects right from the start.
We think you need these skills to ace Snowflake Data Engineer - Consultancy in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Snowflake Data Engineer role. Highlight your experience with Snowflake projects and any relevant skills in SQL and Python. We want to see how you can bring your unique expertise to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with the consultancy's focus on greenfield data projects. Let us know what makes you tick!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you've tackled complex data challenges in the past. We love seeing how you approach problems and come up with innovative solutions, especially in a cloud-native environment.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at Talenting Career Science
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your previous projects in detail, especially the challenges you faced and how you overcame them. This will show your practical experience and problem-solving skills.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. You might be asked to solve a coding challenge or explain how you've used these languages in past projects. Practising common queries and data manipulation tasks can give you an edge.
✨Understand the Client's Needs
Since this role involves working directly with clients, it’s crucial to show that you can translate business needs into technical solutions. Research the consultancy's clientele and think about how you would approach understanding their specific data challenges.
✨Familiarise Yourself with Azure
As the role focuses on a cloud-native environment, having a solid understanding of Azure is key. Brush up on Azure services related to data engineering and be prepared to discuss how you’ve leveraged cloud platforms in your previous roles.