At a Glance
- Tasks: Join us in transforming public sector data systems and enhancing digital services.
- Company: Made Tech, a forward-thinking tech company focused on the public sector.
- Benefits: 30 days holiday, flexible parental leave, remote work, and wellness support.
- Other info: Inclusive culture with community support and excellent career development opportunities.
- Why this job: Make a real difference by empowering organisations with data-driven solutions.
- Qualifications: Strong Python skills and experience in data engineering.
The predicted salary is between 60000 - 80000 £ 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 to data consumers, including analysts, scientists, and business stakeholders.
We want 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.
As a Data Engineer, you'll play a hands-on role as a contributor to client projects, focusing on both delivering engineering work as well as upskilling members of the client team. As a member of the data capability within Made Tech, you will also participate in our hiring process and continued development of the team, as well as representing us both internally to the organisation and publicly via presentations.
Key Responsibilities:
- Strong hands-on Python experience
- 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
- Pair programming
- Working with data scientists to productionise advanced data deliverables, such as machine learning models
- Working with multidisciplinary digital and technology teams
An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. Eligibility for SC requires 5 years' continuous UK residency and 5 years' employment history (or back to full-time education).
We’re committed to building a happy, inclusive, and diverse workforce.
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.
Benefits:
- 30 days of paid annual leave
- Flexible parental leave options
- Part-time remote working for all staff
- Paid counselling as well as financial and legal advice
We help organisations transform, deliver, and manage world-class digital products and services. We’re helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services, we’re making it more accessible, such as children needing mental health support. We’re helping to drive better environmental outcomes by improving network performance through real-time asset monitoring, which means less wasted energy.
We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) 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 Ingegnere dei dati (f/m) 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 Ingegnere dei dati (f/m) 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 Ingegnere dei dati (f/m) 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.
