Lead Data Engineer

Lead Data Engineer

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Made Tech

At a Glance

  • Tasks: Lead data engineering projects and help public sector organisations harness the power of their data.
  • Company: Join Made Tech, a forward-thinking tech company focused on public sector innovation.
  • Benefits: Enjoy 30 days holiday, flexible parental leave, remote work options, and paid counselling.
  • Other info: Be part of a diverse team that values mental health and community engagement.
  • Why this job: Make a real impact by shaping data strategies and empowering teams with data knowledge.
  • Qualifications: Experience in data engineering, cloud services, and agile methodologies is essential.

The predicted salary is between 60000 - 80000 € 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.
  • Contribute to recruitment efforts and take on line management responsibilities.

Skills, knowledge and expertise

  • 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.
  • 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.
  • 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.
  • Skilled Data Engineer who has delivered data platforms.
  • Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project.
  • Demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders.
  • Experience to improve resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit integration, data quality, etc).
  • Skilled at offering guidance on how one would implement a robust DevOps approach in a data project.
  • Comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics.

Experience in the following things isn’t essential, but it’s highly desirable!

  • 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.

Life at Made Tech

We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you’d like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. 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.

Here are some of our most popular benefits listed below:

  • 30 days Holiday - we offer 30 days of paid annual leave.
  • Flexible Parental Leave - we offer flexible parental leave options.
  • 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 year' employment history (or back to full-time education). Ideally, no more than 30 consecutive days spent outside the UK within the last five years. 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.

Lead Data Engineer employer: Made Tech

At Made Tech, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee well-being and growth. With 30 days of annual leave, flexible working options, and a commitment to professional development, our team members are empowered to thrive both personally and professionally while making a meaningful impact in the public sector.

Made Tech

Contact Detail:

Made Tech Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Made Tech. Use LinkedIn to connect and engage with their posts. A friendly chat can go a long way in making you stand out.

Tip Number 2

Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects. Highlight your experience with data pipelines, cloud services, and any cool stuff you've built. This is your chance to shine!

Tip Number 3

Get ready for the interview! Research Made Tech’s values and recent projects. Be prepared to discuss how your experience aligns with their mission of helping public sector organisations become data-led.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.

We think you need these skills to ace Lead Data Engineer

Git
Github Actions
Infrastructure as Code (IaC)
Apache Spark
Databricks
Hadoop
Data Warehouse

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight how your skills align with the Lead Data Engineer role. We want to see how you can help public sector organisations become data-led, so don’t hold back on showcasing your relevant experience!

Show Off Your Technical Skills:When detailing your experience, be specific about the tools and technologies you've used, like Git, Apache Spark, or cloud services. We’re keen to see how you’ve implemented data pipelines and storage solutions, so give us the juicy details!

Demonstrate Your Passion for Learning:We love candidates who are enthusiastic about self-development! Share any recent courses, certifications, or projects that showcase your commitment to growing your skills in data engineering and related fields.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we’re always excited to see new talent joining our team!

How to prepare for a job interview at Made Tech

Know Your Data Inside Out

Make sure you’re well-versed in the data types and tools mentioned in the job description, like JSON, CSV, Apache Spark, and Databricks. Be ready to discuss how you've handled these in past projects and how they can be applied to help public sector organisations.

Showcase Your Cloud Knowledge

Since the role involves working with cloud services like AWS, Azure, and GCP, brush up on your cloud architecture knowledge. Prepare to explain how you would design and implement data pipelines in a cloud environment, including error handling strategies.

Demonstrate Your Leadership Skills

As a Lead Data Engineer, you’ll need to show that you can guide teams and contribute to recruitment efforts. Think of examples where you’ve taken on leadership roles or mentored others, and be ready to discuss your approach to line management.

Prepare for Agile Discussions

Familiarise yourself with agile methodologies like Scrum, XP, and Kanban, as these are crucial for the role. Be prepared to share your experiences working in agile environments and how you’ve applied these practices to improve project outcomes.