Data Engineer in London

Data Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
T

At a Glance

  • Tasks: Design and develop scalable data pipelines using Python and SQL.
  • Company: Join an award-winning tech startup transforming industries with data innovation.
  • Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on collaboration and cutting-edge technologies.
  • Why this job: Be part of a multidisciplinary team and shape the future of technology.
  • Qualifications: Degree in Computer Science or equivalent experience; strong Python and SQL skills.

The predicted salary is between 63000 - 77000 £ per year.

  • Data Engineer | Python, SQL & Data Pipelines
  • Role: Senior Data Engineer
  • Company: Computer Vision Startup

We’re looking for a talented Data Engineer to join a fast-growing, award-winning technology company transforming the an industry through advanced data platforms and digital innovation.

This is an exciting opportunity to work within a multidisciplinary engineering environment spanning cloud platforms, AI & computer vision, embedded systems, data science, and large-scale data processing.

You’ll play a key role in building scalable data infrastructure and developing robust pipelines that power next-generation products.

  • What You’ll Be Doing
  • Design, develop, and maintain scalable data pipelines using Python and orchestration tools such as Dagster.
  • Create and optimise efficient data models to support both transactional and analytical workloads.
  • Develop high-performance SQL queries, procedures, and integrations for APIs and data services.
  • Debug, enhance, and maintain existing systems and codebases.
  • Build and execute unit and integration tests to ensure reliability and maintainability.
  • Conduct profiling and performance optimisation to improve scalability and responsiveness.
  • Produce clear technical documentation for pipelines, databases, and architecture.
  • Collaborate with cross-functional engineering teams across backend, cloud, and product development.
  • Contribute to architectural decisions and continuously evaluate new technologies and best practices.
  • Required Skills & Experience
  • Degree in Computer Science, Engineering, or equivalent practical experience.
  • Strong experience with relational databases and SQL (Postgre SQL preferred).
  • Excellent Python programming and object-oriented development skills.
  • Experience designing data models for both operational and analytical systems.
  • Strong debugging, troubleshooting, and performance tuning capabilities.
  • Experience using Git and participating in collaborative code reviews.
  • Strong communication and teamwork skills.
  • Passion for building scalable in-house technology solutions using both custom and off-the-shelf tools.
  • Nice to Have
  • Experience with Dagster or similar orchestration platforms.
  • Familiarity with CI/CD pipelines and tools such as Git Hub Actions.
  • Knowledge of REST and/or Graph QL APIs.
  • Experience working in Linux environments.
  • Familiarity with Docker and Kubernetes.
  • Understanding of Test-Driven Development (TDD), Py Test, and software design patterns.

Data Engineer in London employer: Tiro Partners Limited Careers

Join a dynamic and innovative team in the heart of London, where your contributions as a Software Engineer will be valued and impactful. With a strong emphasis on collaboration and autonomy, you'll have the opportunity to grow your skills in a supportive environment while enjoying a competitive salary and benefits package. This role not only offers the chance to work with cutting-edge technologies but also fosters a culture of continuous learning and professional development.

T

Contact Details:

Tiro Partners Limited Careers 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 Tiro Partners Limited Careers!

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 Tiro Partners Limited Careers.

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 Tiro Partners Limited Careers.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Tiro Partners Limited Careers, 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
Data Engineering
SQL
API Integration
Problem-Solving Skills
Communication Skills
ETL/ELT Processes

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 Tiro Partners Limited Careers, 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 Tiro Partners Limited Careers. 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 Tiro Partners Limited Careers

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 Tiro Partners Limited Careers!

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.