Senior Data Engineer

Senior Data Engineer

Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join us as a Senior Data Engineer, delivering impactful data solutions for public sector clients.
  • Company: Made Tech is dedicated to improving public services through innovative technology and diverse teams.
  • Benefits: Enjoy flexible remote work, paid counselling, and a range of employee perks tailored for your wellbeing.
  • Why this job: Be part of a culture that values diversity, learning, and making a real difference in society.
  • Qualifications: We're looking for enthusiastic learners with skills in data engineering, cloud infrastructure, and DevOps.
  • Other info: Connect with our diverse Slack groups to learn about employee experiences and support.

The predicted salary is between 48000 - 72000 £ per year.

Location: Hybrid working in either Bristol, Manchester, London or Swansea.

Support in applying

If you need this job description in another format, or other support in applying, please email talent@madetech.com.

We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us.

When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates.

Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients’ needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders.

Key Responsibilities

As a Senior Data Engineer, you may play one or more roles according to our clients\’ needs. The role is very hands-on and you\’ll support as a senior contributor role for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account.

You’ll need to have a drive to deliver outcomes for users. You’ll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution.

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.

  • Enthusiasm for learning and self-development
  • Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
  • Gathering and meeting the requirements of both clients and users on a data project
  • Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
  • Owning the cloud infrastructure underpinning data systems through a DevOps approach
  • Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
  • Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them
  • Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines.
  • Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.)
  • To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics.
  • Experience in improving resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.)
  • Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project.
  • Agile practices such as Scrum, XP, and/or Kanban
  • Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases
  • People skills such as mentoring, supportive team player and performing line management duties
  • To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders

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

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.

The groups are:

  • 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.

Here are some of our most popular benefits listed below:

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). 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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Senior Data Engineer employer: Made Tech Limited

At Made Tech, we pride ourselves on being an exceptional employer that champions a diverse and inclusive work culture, offering hybrid working options across vibrant cities like Bristol, Manchester, London, and Swansea. Our commitment to employee growth is reflected in our flexible benefits platform, which includes professional development opportunities, mental health support, and a strong emphasis on team connection through social events. Join us to make a meaningful impact in public services while enjoying a supportive environment that values your unique contributions.
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Contact Detail:

Made Tech Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Apache Spark, Databricks, and cloud environments. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your capability and enthusiasm for the role.

✨Tip Number 2

Showcase your understanding of DevOps principles and how they apply to data engineering. Be prepared to discuss how you've implemented a robust DevOps approach in past projects, as this is a key aspect of the role.

✨Tip Number 3

Highlight any experience you have in mentoring or upskilling team members. This aligns with the responsibilities of the Senior Data Engineer role, and demonstrating your ability to support others will set you apart from other candidates.

✨Tip Number 4

Engage with the company culture by researching Made Tech's values and initiatives, especially around diversity and inclusion. Showing that you resonate with their mission can make a positive impression during your interview.

We think you need these skills to ace Senior Data Engineer

Proficiency in Git and GitHub Actions
Experience with Infrastructure as Code (IaC)
Cloud infrastructure management
Data transformation using Apache Spark, Databricks, or Hadoop
Understanding of modern data architectures (Data Warehouse, Data Lakes, Data Meshes)
Ability to create and manage data pipelines in cloud environments
Documentation skills for data processing systems (C4, UML)
DevOps practices in data projects
Knowledge of software testing strategies (unit, integration, data quality)
Familiarity with SOLID, DRY, and TDD principles
Agile methodologies (Scrum, XP, Kanban)
Mentoring and team collaboration skills
Commercial mindset for account growth
Experience with Docker and CI/CD processes
Collaboration with data scientists on machine learning models
Working knowledge of statistics

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Engineer role. Focus on your proficiency in Git, cloud infrastructure, and data transformation processes, as these are key aspects of the job.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company’s mission to improve public services through technology. Mention specific projects or experiences that demonstrate your ability to deliver outcomes for users.

Showcase Your Technical Skills: Be explicit about your technical expertise in areas such as Apache Spark, Databricks, and DevOps practices. Provide examples of how you've successfully implemented these skills in previous roles or projects.

Highlight Soft Skills: Don’t forget to mention your people skills, such as mentoring and teamwork. The company values supportive team players, so share instances where you’ve contributed positively to a team environment.

How to prepare for a job interview at Made Tech Limited

✨Showcase Your Technical Skills

As a Senior Data Engineer, it's crucial to demonstrate your proficiency in tools like Git, Apache Spark, and cloud infrastructure. Be prepared to discuss specific projects where you've successfully implemented these technologies and how they contributed to the project's success.

✨Understand the Company’s Mission

Familiarise yourself with the company's goal of improving public services through technology. During the interview, express your enthusiasm for this mission and how your skills can contribute to achieving it, especially in a data-driven context.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to gather requirements, design data pipelines, or implement DevOps practices, and be ready to explain your thought process and outcomes.

✨Emphasise Team Collaboration

Highlight your experience working in teams, mentoring others, and engaging with stakeholders. Discuss how you’ve fostered collaboration in previous roles, as this aligns with the company’s culture of inclusivity and teamwork.

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