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For Companies At a Glance
- Tasks: Lead the creation of advanced data solutions and manage complex data sets.
- Company: Join a top provider of land and property search information, focused on innovation.
- Benefits: Enjoy fully remote work, 25 days holiday, private health insurance, and matched pension.
- Why this job: Be part of a data-driven culture that values engineering excellence and real impact.
- Qualifications: Strong Python coding skills and experience with Azure or AWS required.
- Other info: Opportunities for training and development to enhance your career.
The predicted salary is between 60000 - 84000 £ per year.
Peaple Talent have partnered with a leading provider of land and property search information, who provide a range of services across digital mapping, environmental risk reports and sophisticated property management tools. Due to exciting growth plans in the Data team we are now seeking a Lead Data Engineer.
As a 100% data-driven company, my client pride themselves on employing the best engineering practices across their products and solutions. This role offers a broad and varied experience within our Data Engineering function, empowering you to create data-as-product solutions that drive real change.
You will be responsible for:
- Building advanced data solutions
- Assembling large, complex data sets
- Leveraging big data technologies
- Extending & Maintaining data warehousing
What we are looking for:
- Exceptional coding skills in Python
- Azure or AWS experience
- Further knowledge of Data Lakes, Data Bricks or Data Factory
- Big Data experience ideally using Spark or Hadoop
The Package:
- Basic salary: £70,000-£80,000 per annum
- 25 days holiday + Bank holidays
- Fully Remote working
- Private Health Insurance: Provided by Vitality
- Training and Development Opportunities (internal & external)
- Pension matched up to 6% for the first 3 years, and up to 10% after
Lead Data Engineer employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the latest big data technologies, especially Spark and Hadoop. Being able to discuss recent projects or trends in these areas during your interview will show your passion and expertise.
✨Tip Number 2
Highlight your experience with cloud platforms like Azure or AWS. Prepare specific examples of how you've leveraged these technologies in past roles to solve complex data challenges.
✨Tip Number 3
Brush up on your Python coding skills, as exceptional coding is a key requirement. Consider working on a small project or contributing to open-source to demonstrate your proficiency.
✨Tip Number 4
Understand the concept of data-as-product solutions and be ready to discuss how you can apply this mindset in your role. This will show that you align with the company's data-driven culture.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Azure or AWS, and any big data technologies like Spark or Hadoop. Use specific examples to demonstrate your skills in building advanced data solutions and managing complex data sets.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly in data engineering practices and your ability to drive change through data-as-product solutions.
Showcase Relevant Projects: If you have worked on projects involving data warehousing, Data Lakes, or Data Bricks, be sure to include these in your application. Describe your role and the impact of your contributions to highlight your expertise.
Proofread Your Application: Before submitting, carefully 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 Peaple Talent
✨Showcase Your Coding Skills
As a Lead Data Engineer, exceptional coding skills in Python are crucial. Be prepared to discuss your previous projects and demonstrate your coding abilities, possibly through a live coding exercise or by sharing code samples.
✨Highlight Your Cloud Experience
Make sure to emphasise your experience with Azure or AWS. Discuss specific projects where you utilised these platforms, focusing on how you leveraged their features to build scalable data solutions.
✨Discuss Big Data Technologies
Familiarity with big data technologies like Spark or Hadoop is essential. Prepare to talk about your hands-on experience with these tools, including any challenges you faced and how you overcame them.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in data engineering. Think of examples where you've built advanced data solutions or maintained data warehousing, and be ready to explain your thought process.
