Data Engineer in Bristol

Data Engineer in Bristol

Bristol Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
Limelight Health

At a Glance

  • Tasks: Develop and maintain data platforms for public sector organisations, ensuring high-quality services.
  • Company: Join Made Tech, a mission-driven tech consultancy focused on improving society through technology.
  • Benefits: Enjoy 30 days of annual leave, flexible working options, and a range of wellness benefits.
  • Other info: Be part of a dynamic team with opportunities for personal and professional growth.
  • Why this job: Make a real impact by empowering the public sector with data-driven solutions.
  • Qualifications: Hands-on Python experience and a passion for mentoring and collaboration.

The predicted salary is between 45000 - 55000 £ 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.

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.

As a Data Engineer, you will play a hands-on role as a contributor to client projects, focusing on both delivering engineering work and upskilling members of the client team. You will also participate in our hiring process and continued development of the team, representing us both internally to the organisation and publicly via presentations. You’ll need to have a drive to deliver outcomes for users and a desire to mentor teams, sharing your knowledge and skills with others.

We look for the following skills and experience:

  • Working directly with clients and users
  • 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
  • Showcasing and presentation skills
  • Evidence of self-development – we value keen learners
  • Empathy and people skills
  • Working at a technology consultancy
  • Pair programming
  • Working with data scientists to productionise advanced data deliverables, such as machine learning models
  • Infrastructure-as-Code (e.g. Terraform, Cloud Formation)
  • Working knowledge of statistics
  • Working with multidisciplinary digital and technology teams
  • Working within the public sector

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' continuous 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.

We are always listening to our growing teams and evolving the benefits available to our people. 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:

  • 30 days of paid annual leave
  • Flexible parental leave options
  • Remote working for part-time schedules
  • Paid counselling as well as financial and legal advice

Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world-class digital products and services.

Data Engineer in Bristol employer: Limelight Health

Made Tech is an exceptional employer dedicated to using technology for societal improvement, particularly within the public sector. With a strong focus on employee growth, we offer a flexible benefits platform, generous annual leave, and opportunities for remote work, all within a collaborative and innovative work culture. Join us to make a meaningful impact while developing your skills alongside passionate professionals in a supportive environment.

Limelight Health

Contact Details:

Limelight Health Recruitment Team

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 Limelight Health!

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 Limelight Health.

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 Limelight Health.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Limelight Health, 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

SQL
Python
Data Pipeline Development
Problem-Solving Skills
Communication Skills
Automation
Data Engineering

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 Limelight Health, 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 Limelight Health. 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 Limelight Health

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 Limelight Health!

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.