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- Tasks: Join a dynamic team to build impactful data products and lead key projects.
- Company: Be part of a reputable tech scale-up within a renowned group of data companies.
- Benefits: Enjoy a competitive salary, bonuses, and flexible remote work options.
- Why this job: Work with top professionals on modern tech stacks and mentor junior engineers.
- Qualifications: Bachelor's degree in STEM and 5+ years of Data Engineering experience required.
- Other info: Opportunity to engage with stakeholders and communicate technical concepts effectively.
The predicted salary is between 60000 - 84000 £ per year.
A reputable tech scale-up, which is part of a renowned group of data/ tech companies, are hiring for a Senior Data Engineer to join their product team! You will be working in a strong team of other top data professionals, working on a modern tech stack and being involved in building impactful data products, whilst taking leadership on some key projects.
Your responsibilities as a Senior Data Engineer will include, but not be limited to:
- Engage with the wider data engineering product team to build interesting data products for both stakeholders & consumers whilst contributing to technical decision-making.
- Write robust, scalable and testable code whilst providing code reviews.
- Build, design, maintain and optimise data pipelines.
- Lead & mentor junior engineers on projects, demonstrate technical leadership skills and support their personal development.
- Collaborate with other teams and internal stakeholders to deliver projects and communicate technical concepts to non-technical audiences.
YOUR SKILLS & EXPERIENCE
A successful Senior Data Engineer will have the following:
- Minimum of Bachelors’ degree in STEM subject
- Min. 5 years commercial experience as a Data Engineer, as well as experience leading projects or teams
- Must have experience working with Databricks & Terraform.
- Commercial experience using AWS or Azure Cloud Platforms.
HOW TO APPLY: Please register your interest by sending your CV to luke.frost@xcede.com or click the Apply Link for more info!
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (London Area)
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in data engineering, especially Databricks and Terraform. Being able to discuss recent projects or innovations in these areas during your interview will show your passion and expertise.
✨Tip Number 2
Prepare to demonstrate your leadership skills by thinking of examples where you've successfully led projects or mentored junior engineers. This will help you stand out as a candidate who can take on the responsibilities of a Senior Data Engineer.
✨Tip Number 3
Brush up on your communication skills, particularly how to explain complex technical concepts to non-technical stakeholders. Practising this will be invaluable, as collaboration with various teams is a key part of the role.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who work with AWS or Azure. Engaging with others in the industry can provide insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior Data Engineer (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience as a Data Engineer, especially your work with Databricks, Terraform, and cloud platforms like AWS or Azure. Use specific examples to demonstrate your skills in building data pipelines and leading projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your leadership experience. Mention how you can contribute to the product team and the impact you hope to make on their data products.
Showcase Technical Skills: In your application, emphasise your technical skills by including specific projects where you wrote robust, scalable code or optimised data pipelines. This will help demonstrate your capability to engage with the wider data engineering team.
Highlight Mentorship Experience: If you have experience mentoring junior engineers, be sure to include this in your application. Discuss how you’ve supported their development and contributed to team success, as this aligns with the role's responsibilities.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, Terraform, and cloud platforms like AWS or Azure. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Demonstrate Leadership Experience
Since the role involves mentoring junior engineers, be ready to share specific instances where you've led a team or project. Highlight how you supported others' development and contributed to a positive team environment.
✨Communicate Clearly
You'll need to explain technical concepts to non-technical stakeholders. Practice simplifying complex ideas and think of examples where you've successfully communicated in a similar context. This will show your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Think through scenarios where you've had to optimise data pipelines or troubleshoot issues, and be ready to walk the interviewer through your thought process and solutions.
