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- Tasks: Develop and maintain modern data systems to empower public sector organisations.
- Company: Join Made Tech, a forward-thinking tech consultancy making a positive societal impact.
- Benefits: Enjoy 30 days holiday, flexible working hours, and remote work options.
- Why this job: Make a real difference in public services while advancing your tech skills.
- Qualifications: Experience in data engineering, cloud infrastructure, and a passion for learning.
- Other info: Collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 60000 - 75000 ÂŁ per year.
Location: Hybrid working in either Bristol, Manchester, or London.
At Made Tech, we want to positively impact the future of the country by using technology to improve society for everyone. We aim to empower the public sector to deliver and continuously improve digital services that are user‑centric, data‑driven, and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision‑making for our clients. You will also work closely with clients to help shape their data strategy.
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, ensuring maximum value to data consumers, including analysts, scientists, and business stakeholders.
As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands‑on, supporting as a senior contributor for a project, focusing on both delivering engineering work and 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, considering the wider context of a delivery and maintaining alignment between the operational and analytical aspects of the engineering solution.
What skills and experience are we looking for?
- Enthusiasm for learning and self‑development
- Proficiency in Git (incl. 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
- Able to document and present an end‑to‑end diagram to explain a data processing system on a cloud environment
- To provide guidance on implementing a robust DevOps approach in a data project
- Experience in improving resilience into a project by checking for software vulnerabilities and implementing 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
- Demonstrating a commercial mindset when on projects to grow accounts organically with senior stakeholders
Experience that is 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
Benefits:
- 30 days Holiday - we offer 30 days of paid annual leave
- Flexible Working Hours - we are flexible with what hours you work
- 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
Security Clearance: 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 are 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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Professional Services, Technology, Information and Media, and IT Services and IT Consulting
Senior Data Engineer employer: Made Tech
Contact Detail:
Made Tech 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. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a taste of what you can do, especially for a hands-on role like Senior Data Engineer.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re here to support you every step of the way!
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 the skills and experiences that match the Senior Data Engineer role. We want to see how your background aligns with our mission to improve public services through technology.
Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! Whether it’s Git, cloud infrastructure, or data transformation processes, we want to know how you’ve used these skills in real-world scenarios. Be specific!
Demonstrate Your People Skills: As a Senior Data Engineer, you’ll be working closely with clients and team members. Share examples of how you’ve mentored others or collaborated on projects. We love seeing candidates who can communicate effectively and support their teams.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure you’re considered for the role!
How to prepare for a job interview at Made Tech
✨Know Your Data Systems
Make sure you brush up on modern data architectures like Data Warehouses, Data Lakes, and Data Meshes. Be ready to discuss how these systems can drive informed decision-making for clients, as this is a key part of the role.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in tools like Git, Apache Spark, and cloud environments. Have examples ready that showcase your experience with creating data pipelines and implementing DevOps practices, as these will be crucial in your role.
✨Engage with Client Needs
Be prepared to talk about how you gather and meet client requirements. Highlight any past experiences where you’ve successfully shaped a data strategy or worked closely with stakeholders to ensure their needs were met.
✨Emphasise Your People Skills
As a Senior Data Engineer, mentoring and supporting team members is vital. Share examples of how you've fostered collaboration within teams, whether through pair programming or line management duties, to show you’re a supportive team player.
