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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, bonus, 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.
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.
Please register your interest by sending your CV to luke.frost@xcede.com or click the Apply Link for more info!
Senior Data Engineer (London Area) employer: Placed
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 team and the impact you hope to make on their data products.
Highlight Technical Skills: Clearly list your technical skills related to the job description, such as coding languages, tools, and methodologies you've used. Emphasise your ability to write robust and scalable code, as well as your experience in mentoring junior engineers.
Showcase Collaboration Experience: Include examples of how you've collaborated with cross-functional teams and communicated technical concepts to non-technical audiences. This will demonstrate your ability to work effectively within a diverse team environment.
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 the team's success.
✨Communicate Clearly with Non-Technical Audiences
You’ll need to collaborate with various teams, so practice explaining complex technical concepts in simple terms. This skill is crucial for ensuring everyone is on the same page and can contribute effectively.
✨Prepare Questions for Your Interviewers
Think of insightful questions about the company's data products, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
