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- Tasks: As a Staff Data Engineer, you'll build and maintain data pipelines to drive insights.
- Company: Join a leading retail brand in the UK during an exciting transformation phase.
- Benefits: Competitive salary of £85,000 – £95,000 and opportunities for mentorship.
- Why this job: Be part of a dynamic team and make impactful data-driven decisions.
- Qualifications: Experience in Python, Azure, and Spark is essential.
- Other info: You'll also mentor junior team members, enhancing your leadership skills.
The predicted salary is between 68000 - 102000 £ per year.
Staff Data Engineer Joining one of the best-known retail brands in the UK as a Staff Data Engineer, you will support the delivery of data transformation during an exciting time within the company. They are looking for someone with experience in building and maintaining data pipelines and to collaborate with the wider data teams. The Opportunity For this role as Staff Data Engineer, they are looking for this person to have extensive experience with data pipelines and data warehousing, playing a key role in driving high standards across the data function. You will support the team in building pipelines to deliver insights, enabling the company to be more data-driven in their decision-making. Additionally, they seek someone to support the wider team and act as a mentor to junior members. Skills and Experience Experience in Python Strong experience working with Azure Experience using Spark What’s in it for you? £85,000 – £95,000 Please send your CV in for initial screening. #J-18808-Ljbffr
Staff Data Engineer employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Familiarize yourself with the specific data tools and technologies mentioned in the job description, such as Azure and Spark. Being able to discuss your hands-on experience with these platforms during the interview will demonstrate your suitability for the role.
✨Tip Number 2
Prepare examples of how you've built and maintained data pipelines in previous roles. Highlight any challenges you faced and how you overcame them, as this will showcase your problem-solving skills and technical expertise.
✨Tip Number 3
Since mentoring junior members is part of the role, think about your past experiences in guiding others. Be ready to share specific instances where you provided support or training, as this will illustrate your leadership capabilities.
✨Tip Number 4
Research the company’s current data initiatives and be prepared to discuss how you can contribute to their goals. Showing that you understand their business and how data plays a role will set you apart from other candidates.
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, data warehousing, and any relevant projects you've worked on. Emphasize your skills in Python, Azure, and Spark to align with the job requirements.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to mentor junior team members. Mention specific examples of how you've contributed to data transformation in previous roles.
Highlight Collaboration Skills: Since the role involves working with wider data teams, emphasize your collaboration skills. Provide examples of successful teamwork and how you’ve supported colleagues in achieving data-driven insights.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in data engineering.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Data Pipeline Expertise
Be prepared to discuss your experience with building and maintaining data pipelines. Highlight specific projects where you successfully implemented solutions that improved data flow and accessibility.
✨Demonstrate Your Azure Knowledge
Since the role requires strong experience with Azure, make sure to share examples of how you've utilized Azure services in your previous roles. Discuss any challenges you faced and how you overcame them.
✨Highlight Mentorship Experience
As the company is looking for someone to mentor junior members, be ready to talk about your experience in guiding and supporting less experienced colleagues. Share specific instances where your mentorship made a difference.
✨Prepare for Technical Questions
Expect technical questions related to Python and Spark. Brush up on your knowledge and be ready to solve problems or explain concepts during the interview to demonstrate your proficiency.
