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- Tasks: Lead data strategies and implement efficient data pipelines for public sector organisations.
- Company: Join Made Tech, a tech consultancy focused on empowering public sector with data-driven solutions.
- Benefits: Enjoy remote work options, paid counselling, and a flexible benefits platform.
- Why this job: Be part of a mission-driven team that values employee growth and diversity in tech.
- Qualifications: Proficiency in Git, cloud services, and data transformation processes; agile experience preferred.
- Other info: Engage with diverse employee groups and contribute to a supportive workplace culture.
The predicted salary is between 43200 - 72000 £ per year.
As a Lead Data Engineer or architect at Made Tech, you\’ll play a pivotal role in helping public sector organisations become truly data‑lead, by equipping them with robust data platforms. You\’ll also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You\’ll also help implement efficient data pipelines
Lead Data Engineer employer: Made Tech Limited
Contact Detail:
Made Tech Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the public sector's data needs and challenges. Understanding how data can drive decision-making in government organisations will help you position yourself as a valuable asset during discussions.
✨Tip Number 2
Showcase your experience with cloud services like AWS, Azure, and GCP. Be prepared to discuss specific projects where you've implemented data solutions using these platforms, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Highlight your ability to work collaboratively in agile environments. Share examples of how you've successfully engaged with cross-functional teams, especially when it comes to delivering data-driven projects.
✨Tip Number 4
Prepare to discuss your approach to DevOps in data projects. Being able to articulate how you ensure robust infrastructure and efficient data pipelines will set you apart as a candidate who understands the full lifecycle of data engineering.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Lead Data Engineer role. Focus on your proficiency in Git, cloud services like AWS or Azure, and your experience with data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to define data strategies and work with public sector organisations.
Showcase Your Technical Skills: Be explicit about your technical expertise in areas such as IaC, Apache Spark, and data transformation processes. Use examples from past projects to illustrate your capabilities and how they relate to the job description.
Highlight Your Soft Skills: Don't forget to mention your soft skills, such as your ability to communicate complex ideas clearly and your experience working in agile teams. These are crucial for a role that involves collaboration and advising stakeholders.
How to prepare for a job interview at Made Tech Limited
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Git, IaC, and data handling tools like Apache Spark or Hadoop. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on experience.
✨Understand the Public Sector Context
Familiarise yourself with the challenges and opportunities within the public sector. Be ready to explain how your data strategies can help organisations become more data-driven and how you can add value to their operations.
✨Demonstrate Leadership Qualities
Since the role involves line management responsibilities, be prepared to discuss your experience in mentoring others and contributing to recruitment efforts. Share examples of how you've led teams or projects in the past.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would design data pipelines or handle data transformation processes, and be ready to articulate your thought process clearly.
