At a Glance
- Tasks: Develop and maintain data platforms for public sector organisations, ensuring high-quality data services.
- Company: Join Made Tech, a forward-thinking tech consultancy focused on improving public services.
- Benefits: Enjoy 30 days holiday, flexible parental leave, remote work options, and paid counselling.
- Other info: Be part of a diverse team committed to inclusivity and continuous learning.
- Why this job: Make a real difference by empowering the public sector with data-driven solutions.
- Qualifications: Experience in data engineering, cloud infrastructure, and a passion for mentoring others.
The predicted salary is between 60750 - 74250 £ per year.
Our 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 the clients’ needs. They develop, operate, and maintain these services, ensuring maximum value for data consumers, including analysts, scientists, and business stakeholders.
Key responsibilities include:
- Developing modern data systems and platforms that drive informed decision‑making for our clients.
- Playing a hands‑on role as a contributor to client projects, focusing on both delivering engineering work and upskilling members of the client team.
- Participating in our hiring process and continued development of the team.
- Representing us internally and publicly via presentations.
You’ll need to have a drive to deliver outcomes for users and a desire to mentor teams. Comfortable sharing knowledge and skills with others is essential. You may have written blog posts about your discipline or delivered talks you’d like to share.
Skills, knowledge and expertise required:
- Working directly with clients and users.
- Designing and implementing efficient data transformation processes at scale, in either batch or streaming use cases.
- Contributing to the cloud infrastructure underpinning data systems through a DevOps approach.
- Basic understanding of the possible architectures involved in modern data system design (e.g. warehouses, lakes, and meshes).
- Agile practices such as Scrum, XP, and/or Kanban.
- Showcasing and presentation skills.
- Evidence of self‑development – we value keen learners.
- Empathy and people skills.
- Working at a technology consultancy.
- 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.
Security clearance: An increasing number of our customers specify a minimum of SC (security check) clearance. All successful candidates must have eligibility. Eligibility for SC requires 5 years’ continuous UK residency and 5 years’ employment history (or back to full‑time education). If you may not be eligible for SC, we will not progress your application and we will contact you to let you know why.
Benefits include:
- 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.
We’re committed to building a happy, inclusive and diverse workforce. We believe that tech can improve public services when our own team represents society’s needs. We encourage people from under‑represented groups to apply.
Contact the Talent team at talent@madetech.com for any support in applying.
Data Engineer in Bristol employer: Made Tech
Made Tech is an exceptional employer that fosters a collaborative and innovative work culture, where designers, researchers, and product professionals come together to make a meaningful impact in the public sector. With a strong emphasis on employee growth through mentorship and agile practices, team members are empowered to drive high-impact outcomes while enjoying the benefits of a supportive community dedicated to user-centred service delivery.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Made Tech!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Made Tech.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Made Tech.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Made Tech, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Made Tech, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Made Tech. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Made Tech
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Made Tech!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
