Data Engineer in London

Data Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Join us in developing data platforms that empower public sector organisations to make informed decisions.
  • Company: Be part of Made Tech, a forward-thinking tech company focused on improving society through technology.
  • Benefits: Enjoy 30 days holiday, flexible parental leave, remote working, and paid counselling.
  • Other info: Inclusive culture with opportunities for personal growth and community engagement.
  • Why this job: Make a real impact by using your skills to enhance public services and drive positive change.
  • Qualifications: Hands-on Python experience and a passion for learning and sharing knowledge.

The predicted salary is between 63000 - 77000 £ 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. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders.

Key Responsibilities

At Made Tech we want to positively impact the future of the country by using technology to improve society, for everyone. 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 and AI Practice within Made Tech, you will also participate in the continued development of the team. You’ll need to have a drive to deliver outcomes for users and have a desire to share your knowledge and participate in skill transfer sessions.

Skills, Knowledge & Expertise

  • Hands-on Python experience
  • Knowledge of cloud infrastructure like AWS, GCP or Azure
  • Have used version control systems, specifically Git or similar tools
  • Understanding of TDD and diverse testing methodologies, such as data quality, integration, and unit testing
  • Understanding of CI/CD pipelines to maintain code quality and facilitate deployments
  • Knowledge of Data Engineering fundamentals, including Batch processing and ETL/ELT
  • Basic understanding of various data architectures, such as Lakes and Warehouses
  • Knowledge of data cleansing and transformation within unified, standardised schemas
  • Basic SQL
  • Aware of IaC tools, particularly Terraform
  • Knowledge of basic logging and monitoring practice
  • Knowledge of basic access controls, policies and approaches particularly on Cloud services
  • Enthusiasm for learning and self-development and sharing that within a team and organisation
  • Good communication skills
  • Showcasing and presentation skills
  • Desire to work in a cross functional team environment
  • A desire to understand client needs and requirements

Desirable experience

  • Working at a technology consultancy
  • Working with data scientists to productionise advanced data deliverables, such as machine learning models
  • Working within the public sector
  • Experience of working in Agile practices such as Scrum, XP, and/or Kanban

At this point, we hope you're feeling excited about Made Tech and the job opportunity. Even if you don't feel that you meet every single requirement, we still encourage you to apply. Get in touch with our talent team if you’d like an informal chat about the role and your suitability before applying. We are hiring for this role directly, so will not respond to any CVs sent via external recruitment agencies.

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're 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 and we will contact you to let you know why.

Support in applying

If you need this job description in another format, or other support in applying, please email talent@madetech.com. We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates.

Job Benefits

We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you’d like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know.

Benefits: We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. 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.

  • 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.

Data Engineer in London 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.

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Contact Details:

Made Tech Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in London

✨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 London

Python
Cloud Infrastructure (AWS, GCP, Azure)
Version Control (Git)
Test-Driven Development (TDD)
Data Quality Testing
Continuous Integration/Continuous Deployment (CI/CD)
Data Engineering Fundamentals (Batch Processing, ETL/ELT)

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.