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For Companies At a Glance
- Tasks: Join our global team to optimise data pipelines and support cross-functional teams.
- Company: Wolfspeed is a leader in innovative data solutions, committed to excellence and teamwork.
- Benefits: Enjoy flexible work options, competitive pay, and a collaborative culture.
- Why this job: Be part of a passionate team that tackles challenges others can't, while making a real impact.
- Qualifications: 3+ years in Data Engineering or Software Engineering with a focus on data; strong programming skills required.
- Other info: Eager learners are welcome; we value passion and teamwork over strict qualifications.
The predicted salary is between 36000 - 60000 £ per year.
The Role
As part of a global team you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data solutions and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists while ensuring optimal data delivery architecture is consistent throughout ongoing projects. The Data Engineer will be responsible for the day-to-day activities related to the implementation of new services and support for existing services.
We are looking for intelligent, driven individuals who are passionate about what they do and have exceptional teamwork skills. The skills and experience needed for this role are listed below. However, we understand that there might be a few requirements that you don’t meet or skills that you don’t yet have. That’s ok! If you are a smart, passionate, hardworking individual who is eager to learn we would like to speak with you about joining our wolf pack!
Your day-to-day – We do what others say can’t be done
- Provide technical expertise and execute the design, development and support of data solutions for Wolfspeed business partners, including configuration, administration, monitoring, performance tuning, debugging, and operationalization.
- Build and maintain data solutions using Snowflake, dbt (data build tool), Fivetran, Azure Cloud (storage, VMs, containers, Azure Data Factory), Python, Docker and SQL.
- Participate in the development lifecycle using Agile / DevOps methodologies using Azure DevOps.
- Translate simple to complex requirements into functional and actionable tasks.
- Serve as a subject matter expert for Wolfspeed operations for data integration from enterprise applications (SAP, Oracle, ModelN, Salesorce, Workday, etc.), using that knowledge to craft data solutions that provide maximum visibility to global stakeholders.
Your Profile – Ready to join the Pack?
- Minimum 3+ years’ experience in a Data Engineering role, or Software Engineering role with a focus on data.
- Hands-on skills with a programming language such as Python, Java, Go, etc.
- Public cloud experience (Azure, AWS or GCP)
- Writing complex SQL Queries
- ETL tools (Fivetran, Azure Data Factory) or writing custom data extraction applications, Data Modeling, Data Warehousing and working with large-scale datasets.
- Experience leveraging DevOps and lean development principles such as Continuous Integration, Continuous Delivery/Deployment using tools like Azure DevOps, Github, Gitlab, etc.
- Designing and building modern data pipelines and data streams
- This role may require additional duties and/or assignments as designated by management.
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Data Engineer employer: What’s Upstate
Contact Detail:
What’s Upstate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, dbt, and Azure Cloud. Having hands-on experience or even personal projects using these technologies can set you apart from other candidates.
✨Tip Number 2
Showcase your teamwork skills by discussing past experiences where you collaborated with cross-functional teams. Highlighting your ability to work well with software developers, data analysts, and other stakeholders will demonstrate that you fit into our wolf pack culture.
✨Tip Number 3
Prepare to discuss your experience with Agile and DevOps methodologies. Being able to articulate how you've applied these principles in previous roles will show that you're ready to hit the ground running in our fast-paced environment.
✨Tip Number 4
Be ready to share examples of how you've optimised data solutions in the past. Whether it's through performance tuning or building data pipelines, concrete examples will illustrate your problem-solving skills and passion for data engineering.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, programming languages like Python, and any cloud experience you have. Use keywords from the job description to ensure it aligns with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills can contribute to the team. Mention specific projects or experiences that demonstrate your ability to build and optimize data pipelines.
Showcase Technical Skills: Include a section in your application that lists your technical skills, particularly those mentioned in the job description such as SQL, ETL tools, and cloud platforms. This will help the hiring team quickly see your qualifications.
Highlight Teamwork Experience: Since the role requires exceptional teamwork skills, provide examples of past experiences where you successfully collaborated with cross-functional teams. This could be in your CV or cover letter.
How to prepare for a job interview at What’s Upstate
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with programming languages like Python and tools such as Snowflake and Azure. Bring examples of past projects where you built or optimised data pipelines, as this will demonstrate your technical expertise.
✨Understand the Company’s Data Needs
Research Wolfspeed's operations and their specific data challenges. This will allow you to tailor your responses and show how your skills can directly benefit their team, making you a more attractive candidate.
✨Emphasise Teamwork and Collaboration
Since the role involves working with cross-functional teams, highlight your teamwork skills. Share examples of how you've successfully collaborated with software developers, data analysts, or other stakeholders in previous roles.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Practice articulating your thought process when tackling complex data issues, as this will showcase your analytical skills and approach to challenges.
