Senior Engineer, Data Engineering in London

Senior Engineer, Data Engineering in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Made Tech

At a Glance

  • Tasks: Develop and maintain data platforms for public sector organisations, ensuring maximum value for data consumers.
  • Company: Join Made Tech, a forward-thinking company transforming public services through data-driven solutions.
  • Benefits: Enjoy 30 days holiday, flexible remote work, and a range of health and financial benefits.
  • Other info: Collaborative environment with opportunities for professional growth and community engagement.
  • Why this job: Make a real impact on society by enabling data-driven decisions in public services.
  • Qualifications: Experience in data engineering, cloud infrastructure, and agile methodologies required.

The predicted salary is between 70000 - 90000 £ per year.

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 ensure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution.

  • Gathering and meeting the requirements of both clients and users on a data project.
  • 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, with an understanding of how to create reusable libraries to encourage uniformity of approach across multiple data pipelines.
  • Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how to present diagrams (C4, UML etc.).
  • To provide guidance on implementing a robust DevOps approach in a data project, including tools needed for DataOps in areas such as orchestration, data integration and data analytics.
  • 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.
  • Demonstrating a commercial mindset when on projects to grow accounts organically with senior stakeholders.
  • Working with Docker and virtual environments as part of the development and CI/CD process.
  • 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 with multidisciplinary digital and technology teams.

If you need this job description in another format, or other support in applying, please email talent@madetech.n. 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.

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.

  • 30 days Holiday - we offer 30 days of paid annual leave + bank holidays!
  • Flexible Parental Leave - we offer flexible parental leave options.
  • Remote Working - we offer part-time remote working for all our staff.
  • Paid counselling as well as financial and legal advice.

An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. 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.

Made Tech

Contact Details:

Made Tech Recruitment Team

StudySmarter Expert Advice🤫

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

SQL
Problem-Solving Skills
Python
Communication Skills
Data Engineering
Data Pipeline Development
API Integration

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.