At a Glance
- 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 & storage.
Key Responsibilities
- Define, shape and perfect data strategies in central and local government.
- Help public sector teams understand the value of their data, and make the most of it.
- Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP.
- As employee growth is a huge focus here, we would expect you to contribute to our recruitment efforts and take on line management responsibilities.
Skills, Knowledge and Expertise
We are looking for candidates with a range of skills and experience, please apply even if you don’t meet all the criteria as if unsuccessful we can provide you with feedback.
- Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies.
- Strong experience in IaC and able to guide how one could deploy infrastructure into different environments.
- Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop.
- Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes).
- Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines.
- You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines.
- Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment.
- Some knowledge of how you would present diagrams (C4, UML, etc.).
- Enthusiasm for learning and self-development.
- You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban.
- Can own the cloud infrastructure underpinning data systems through a DevOps approach.
- Design and implement efficient data transformation processes at scale, both in batch and streaming use cases.
- You are a skilled Data Engineer who has delivered data platforms.
- Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project.
- You can demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders.
- You have the experience to improve resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit integration, data quality, etc).
- You are skilled at offering guidance on how one would implement a robust DevOps approach in a data project.
- You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics.
Desirable Experience
- Working at a technology consultancy.
- Working with Docker and virtual environments as part of the development and CI/CD process.
- Working with senior stakeholders to gather requirements and keep them engaged.
- Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming.
- Working with data scientists to productionise advanced data deliverables, such as machine learning models.
- Working knowledge of statistics.
- Working with multidisciplinary digital and technology teams.
- Working within the public sector.
Like many organisations, we use Slack to chat to each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you’d like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Partner know.
Employee Groups
- disability
- lgbtqiaplus-allies-and-activists
- women-in-tech
We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We\’ve recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We’re also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to.
Popular Benefits
- Remote Working – we offer part time remote working for all our staff.
- Paid counselling – we offer paid counselling as well as financial and legal advice.
An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we\’re looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years\’ UK residency and 5 years\’ employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won\’t be able to progress your application and we will contact you to let you know why.
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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.