Lead Data Engineer

Lead Data Engineer

Manchester Full-Time 68000 - 85000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data strategies and implement efficient data pipelines for public sector organisations.
  • Company: Join Made Tech, a forward-thinking tech consultancy focused on data-driven solutions.
  • Benefits: Enjoy 30 days holiday, flexible working hours, remote options, and paid counselling.
  • Why this job: Be part of a diverse team making a real impact in the public sector with innovative data solutions.
  • Qualifications: Proficiency in Git, cloud services, and data transformation processes; experience in agile projects is a plus.
  • Other info: Eligibility for SC clearance required; we value learning and self-development.

The predicted salary is between 68000 - 85000 £ per year.

Overview

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.

Experience and desirables

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 with
  • 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
  • Working with data scientists to productionise advanced data deliverables, such as machine learning models

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.

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Lead Data Engineer employer: Made Tech

At Made Tech, we pride ourselves on being an exceptional employer, particularly for those in the technology sector. Our Manchester location fosters a collaborative and inclusive work culture, where employee growth is paramount, offering flexible working hours, generous holiday allowances, and a range of benefits tailored to support your well-being and professional development. Join us to make a meaningful impact in the public sector while enjoying a supportive environment that values diversity and innovation.
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Contact Detail:

Made Tech Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Engineer

Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Azure, and GCP. Being able to discuss your hands-on experience with these platforms will demonstrate your capability to lead data projects effectively.

Tip Number 2

Showcase your understanding of data architectures like Data Warehouses and Data Lakes. Prepare to discuss how you've implemented these in past roles, as this will highlight your expertise in designing robust data systems.

Tip Number 3

Be ready to explain your approach to creating efficient data pipelines and error handling. Sharing specific examples of challenges you've faced and how you overcame them can set you apart from other candidates.

Tip Number 4

Engage with the public sector's unique challenges in data management. Understanding their needs and being able to articulate how your skills can help them become data-led will make you a more attractive candidate.

We think you need these skills to ace Lead Data Engineer

Proficiency in Git and GitHub Actions
Strong experience in Infrastructure as Code (IaC)
Knowledge of data handling and transformation with Apache Spark, Databricks, or Hadoop
Understanding of modern data system architectures (Data Warehouse, Data Lakes, Data Meshes)
Ability to create and manage data pipelines in cloud environments
Experience in error handling within data pipelines
Capability to create reusable libraries for data processing
Documentation skills for end-to-end data processing systems
Familiarity with diagramming techniques (C4, UML)
Agile project management experience (Scrum, XP, Kanban)
DevOps approach to cloud infrastructure management
Design and implementation of data transformation processes at scale
Knowledge of SOLID, DRY, and TDD principles
Commercial mindset for stakeholder engagement
Experience in software vulnerability assessment and testing strategies
Guidance on implementing DataOps tools for orchestration and integration

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 implement data strategies and work within public sector organisations.

Showcase Your Technical Skills: Be explicit about your technical expertise in areas such as IaC, Apache Spark, and data architecture. Use examples from past projects to illustrate how you've successfully applied these skills.

Highlight Soft Skills: Don't forget to mention your soft skills, such as teamwork and communication. As a Lead Data Engineer, you'll need to collaborate with various teams, so showcasing your ability to work well with others is crucial.

How to prepare for a job interview at Made Tech

Showcase Your Technical Skills

As a Lead Data Engineer, you'll need to demonstrate your proficiency in tools like Git, Apache Spark, and cloud services such as AWS or Azure. Be prepared to discuss specific projects where you've implemented data pipelines or transformed data types, showcasing your hands-on experience.

Understand the Public Sector Context

Since the role involves working with public sector organisations, it's crucial to understand their unique challenges and how data can drive value for them. Research recent initiatives or case studies related to data in the public sector to discuss during your interview.

Emphasise Collaboration and Leadership

This position requires you to take on line management responsibilities and contribute to recruitment efforts. Be ready to share examples of how you've led teams, mentored colleagues, or collaborated with cross-functional teams to achieve project goals.

Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills and ability to handle real-world challenges. Think about past experiences where you've had to design data strategies or implement DevOps practices, and be ready to explain your thought process and outcomes.

Lead Data Engineer
Made Tech
Location: Manchester
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  • Lead Data Engineer

    Manchester
    Full-Time
    68000 - 85000 £ / year (est.)
  • M

    Made Tech

    50-100
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