Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain data platforms that empower public sector organisations.
- Company: Join a forward-thinking tech consultancy dedicated to improving public services.
- Benefits: Enjoy 30 days holiday, remote work options, and paid counselling support.
- Why this job: Make a real difference by enabling data-driven decisions in the public sector.
- Qualifications: Experience with data engineering, cloud infrastructure, and a passion for learning.
- Other info: Flexible benefits, community engagement, and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing high-quality, cost-efficient data platforms and services tailored to clients’ needs. They develop, operate, and maintain these services, ensuring maximum value for data consumers, including analysts, scientists, and business stakeholders.
Key responsibilities
As a Senior Data Engineer, you may assume multiple roles based on our clients' needs. The role is highly hands-on, supporting project delivery as a senior contributor and upskilling client team members. You might also take on a technical architect role, collaborating with the MadeTech team to identify growth opportunities within the account. You’ll need a drive to deliver outcomes for users, considering the broader context of delivery and maintaining alignment between operational and analytical aspects of the engineering solution.
Skills, knowledge and expertise
- Enthusiasm for learning and self-development
- Proficiency in Git (including Github Actions) and understanding of branch strategies
- Experience gathering and meeting requirements from clients and users on data projects
- Strong experience in Infrastructure as Code (IaC) and deploying infrastructure across environments
- Managing cloud infrastructure with a DevOps approach
- Handling and transforming various data types (JSON, CSV, etc.) using Apache Spark, Databricks, or Hadoop
- Understanding modern data system architectures (Data Warehouse, Data Lakes, Data Meshes) and their use cases
- Creating data pipelines on cloud platforms with error handling and reusable libraries
- Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.)
- Implementing robust DevOps practices in data projects, including DataOps tools for orchestration, data integration, and analytics
- Enhancing resilience through vulnerability checks and testing strategies (unit, integration, data quality)
- Applying SOLID, DRY, and TDD principles practically
- Agile methodologies such as Scrum, XP, and Kanban
- Designing and implementing efficient batch and streaming data transformations at scale
- Mentoring, team support, and line management skills
- Commercial mindset to grow accounts organically with senior stakeholders
Experience in the following areas is desirable but not essential:
- Working in a technology consultancy
- Using Docker and virtual environments in CI/CD
- Engaging with senior stakeholders for requirements gathering
- Collaborating with engineers via pair or mob programming
- Working with data scientists to productionize machine learning models
- Knowledge of statistics
- Collaborating across multidisciplinary teams
- Experience within the public sector
If you need this job description in another format or require support in applying, please email talent@madetech.com.
We believe technology can improve public services and that diversity within our team enhances this mission. We encourage applicants from underrepresented groups to apply. We are committed to accessibility and inclusion, offering adjustments for interview processes and welcoming feedback on our candidate experience. We foster community through Slack channels and communities of practice, covering interests like music, food, pets, and professional development. If you’d like to connect with these groups, please contact a Made Tech talent team member.
Our benefits include:
- 30 days Holiday - paid leave plus bank holidays
- Remote Working - part-time remote options
- Paid counselling - mental health, legal, and financial advice
Candidates must be eligible for SC security clearance, requiring 5 years of UK residency. If eligibility is not confirmed during the process, we cannot proceed with your application.
Interested? Join us in using technology to improve society. Our transparent and supportive hiring process guides candidates at each stage, with feedback provided throughout. Shortlisted candidates will be invited for screening. Register your interest to stay updated on relevant roles.
Senior Data Engineer employer: Made Tech Limited
Contact Detail:
Made Tech Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving cloud platforms and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Git, IaC, and data transformations. Practice common interview questions to boost your confidence!
✨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 hearing from passionate candidates who want to make a difference in the public sector.
We think you need these skills to ace Senior Data Engineer
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 Senior Data Engineer role. We want to see how your experience can help us deliver high-quality data platforms for our clients.
Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! Whether it’s Git, Infrastructure as Code, or data transformation tools, we’re keen to see how you’ve applied these in real-world scenarios. This is your chance to shine!
Demonstrate Your Problem-Solving Mindset: We love candidates who can think critically and solve problems creatively. Share examples of how you've tackled challenges in past projects, especially those that required collaboration with stakeholders or team members.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Made Tech Limited
✨Know Your Data Tools
Make sure you brush up on your knowledge of tools like Apache Spark, Databricks, and Hadoop. Be ready to discuss how you've used these technologies in past projects, as well as your experience with Git and Infrastructure as Code. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you had to gather requirements from clients or transform data types. Highlight your approach to problem-solving and how it led to successful outcomes for users.
✨Understand the Bigger Picture
Demonstrate your understanding of modern data architectures like Data Warehouses and Data Lakes. Be prepared to discuss how these systems can be leveraged to meet client needs. This shows that you’re not just focused on the technical aspects, but also on delivering value to stakeholders.
✨Emphasise Collaboration and Mentorship
Since the role involves mentoring and supporting team members, be ready to talk about your experience working in multidisciplinary teams. Share examples of how you've collaborated with engineers and data scientists, and how you've contributed to upskilling others. This will highlight your leadership potential and team spirit.