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For Companies At a Glance
- Tasks: Design and optimise data pipelines on a cutting-edge platform.
- Company: Join a forward-thinking company making waves in technology.
- Benefits: Enjoy a dynamic work environment with opportunities for growth.
- Why this job: Make an impact by shaping the future of technology while reaching millions.
- Qualifications: Experience in data engineering and familiarity with Databricks is essential.
- Other info: This role is based in Manchester, perfect for local talent.
The predicted salary is between 43200 - 72000 £ per year.
ECOM are pleased to be exclusively recruiting for a Senior Data Engineer here in Manchester. You'll join a team where your work reaches millions. This role is within a forward-thinking company leading, offering a dynamic environment where you can grow, make an impact, and shape the future of technology.
The Role:
- As a Data Engineer, you'll design, develop, and optimise data pipelines on a Databricks-based platform, Symphony.
- You'll collaborate with teams to create scalable data solutions, ensuring efficient data ingestion, transformation, and analysis.
Senior Data Engineer employer: Interquest
Contact Detail:
Interquest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its functionalities. Since the role specifically mentions working on a Databricks-based platform, having hands-on experience or knowledge about its features will give you an edge during discussions.
✨Tip Number 2
Network with current employees or professionals in the data engineering field. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous projects involving data pipelines. Be ready to explain your role, the technologies used, and the impact of your work, as this will demonstrate your capability to contribute effectively.
✨Tip Number 4
Stay updated on the latest trends in data engineering and analytics. Showing that you are proactive about learning and adapting to new technologies can set you apart from other candidates.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific responsibilities and requirements for the Senior Data Engineer position. Highlight your experience with data pipelines, Databricks, and collaboration with teams in your application.
Tailor Your CV: Customise your CV to reflect your relevant skills and experiences that align with the job. Emphasise your expertise in designing and optimising data solutions, as well as any previous work with data ingestion and transformation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's mission. Mention how you can contribute to their dynamic environment and help shape the future of technology.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Interquest
✨Understand the Tech Stack
Familiarise yourself with Databricks and any other technologies mentioned in the job description. Be prepared to discuss how you've used similar tools in your previous roles and how they can be applied to the position.
✨Showcase Your Problem-Solving Skills
Be ready to share specific examples of challenges you've faced in data engineering and how you overcame them. This will demonstrate your ability to think critically and adapt in a dynamic environment.
✨Collaborative Mindset
Since the role involves working with various teams, highlight your experience in collaboration. Discuss how you’ve successfully worked with cross-functional teams to deliver scalable data solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
