Senior Backend Engineer β€” Data Pipelines & Systems

Senior Backend Engineer β€” Data Pipelines & Systems

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Medium

At a Glance

  • Tasks: Design and evolve data pipelines for analytics and customer products.
  • Company: Join Medium, a leading platform in the tech industry.
  • Benefits: Competitive salary, flexible work options, and growth opportunities.
  • Other info: Dynamic role with potential for significant career advancement.
  • Why this job: Make a real impact on data systems and collaborate with talented teams.
  • Qualifications: Strong coding skills and experience in data architecture.

The predicted salary is between 60000 - 80000 Β£ per year.

Medium is looking for a skilled engineer to design and evolve data pipelines that support modeling, analytics, and customer-facing products in Greater London. This role requires ownership of complex data workflows, reliable infrastructure, and collaboration with cross-functional teams to craft robust technical solutions.

Applicants should demonstrate high-quality coding skills, architectural contributions, and the ability to drive significant improvements in data systems.

Senior Backend Engineer β€” Data Pipelines & Systems employer: Medium

Medium is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and skill enhancement, ensuring that our team members can thrive in their careers while contributing to impactful data solutions. Our commitment to work-life balance and a supportive environment makes Medium a rewarding place to build your future.

Medium

Contact Details:

Medium Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Backend Engineer β€” Data Pipelines & Systems

✨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 Medium!

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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 Backend Engineer β€” Data Pipelines & Systems at Medium.

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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 Medium.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Backend Engineer β€” Data Pipelines & Systems at Medium, 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 Backend Engineer β€” Data Pipelines & Systems

Data Pipeline Design
Data Workflow Management
Infrastructure Reliability
Cross-Functional Collaboration
High-Quality Coding Skills
Architectural Contributions
Technical Solution Development

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 Medium, 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 Medium. 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 Medium

✨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 Medium!

✨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.