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For Companies At a Glance
- Tasks: Build and maintain data pipelines to support data-driven decision-making.
- Company: Join a leading retail brand in the UK during an exciting transformation phase.
- Benefits: Competitive salary of £75,000 – £95,000 and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving high standards in data solutions.
- Qualifications: Strong experience in Python, Azure, and Spark required.
- Other info: Collaborate with wider data teams to enhance delivery and insights.
The predicted salary is between 60000 - 84000 £ per year.
Joining one of the best-known retail brands in the UK as a Senior 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 collaborating with the wider data teams.
The Opportunity
For this role, they are looking for extensive experience with data pipelines and data warehousing, playing a key role in driving high standards across the data function. You will build and maintain reliable and high-quality data solutions, supporting the team in building pipelines to deliver insights that enable the company to be more data-driven in their decision-making.
Skills and Experience
- Strong experience in Python
- Strong experience working with Azure
- Experience using Spark
- Experience working with wider data teams to ensure delivery
What’s in it for you?
£75,000 – £95,000
Please send your CV for initial screening.
Senior Data Engineer employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, such as Python, Azure, and Spark. Being able to discuss your hands-on experience with these technologies during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations, which you can leverage in your discussions.
✨Tip Number 3
Prepare to showcase your previous projects involving data pipelines and warehousing. Be ready to explain the challenges you faced and how you overcame them, as this will highlight your problem-solving skills and technical expertise.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering. Being knowledgeable about industry advancements can help you stand out in interviews and show that you are proactive about your professional development.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, data warehousing, and the specific technologies mentioned in the job description, such as Python and Azure. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the retail sector. Mention specific projects where you've successfully built and maintained data solutions, and how they contributed to data-driven decision-making.
Showcase Collaboration Skills: In your application, emphasise your experience working with wider data teams. Provide examples of how you have collaborated on projects to deliver insights, as this is a key aspect of the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Engineer.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Azure, and Spark in detail. Bring examples of projects where you've built and maintained data pipelines, as this will demonstrate your technical expertise and problem-solving abilities.
✨Understand the Company’s Data Needs
Research the retail brand and understand their data transformation goals. Be ready to discuss how your skills can help them become more data-driven in their decision-making process, showing that you are aligned with their objectives.
✨Emphasise Collaboration
Since the role involves working with wider data teams, highlight your experience in collaborative projects. Share specific examples of how you’ve successfully worked with others to deliver data solutions, showcasing your teamwork and communication skills.
✨Prepare Questions
Have insightful questions ready to ask about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
