At a Glance
- Tasks: Design and build scalable backend systems and data pipelines for innovative products.
- Company: Join a dynamic tech company focused on data engineering excellence.
- Benefits: Enjoy competitive salary, flexible work options, and professional growth opportunities.
- Other info: Collaborative environment with exposure to the latest data engineering tools.
- Why this job: Make a real impact on product capabilities while working with cutting-edge technologies.
- Qualifications: 8+ years in software engineering with a focus on data engineering and backend development.
The predicted salary is between 36000 - 60000 € per year.
We are seeking an experienced Software Engineer to join a dynamic data platform team and help build scalable backend systems, APIs, and data pipelines that power the organization's products. In this role, you will design, implement, and maintain infrastructure and integrations that process large volumes of data, supporting both real-time and batch workflows. You will collaborate across engineering, product, and data teams to deliver high-quality solutions and ensure data integrity throughout the platform. This position offers the opportunity to take ownership of critical engineering projects, contribute to platform evolution, and have a visible impact on product capabilities and business outcomes. The ideal candidate thrives in a fast-paced environment, embraces ambiguity, and continuously seeks to improve both their own work and the broader system architecture.
Accountabilities
- Design, build, and maintain backend services, APIs, and infrastructure components for the data platform.
- Contribute to data pipelines and processes (ELT/ETL) to extract, process, and transform data efficiently.
- Build and maintain integrations with internal and external data providers using various protocols.
- Drive engineering projects end-to-end with high ownership, ensuring delivery on time and quality.
- Collaborate cross-functionally to support platform goals beyond core responsibilities.
- Maintain product and data quality through automated and manual testing and code reviews.
Requirements
- 8+ years of software engineering experience, with a strong focus on data engineering.
- Expertise in backend development, including REST/gRPC API design and service support.
- Experience with SQL and database/lakehouse technologies such as Shift, Clickhouse, Trino, StarRocks, Apache Iceberg, or Postgres.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and data-related services (S3, Redshift, EMR, Glue, Kinesis, Athena).
- Strong problem-solving skills, action-oriented mindset, and ability to work in a fast-paced environment.
- Nice to have: experience with big data frameworks (Apache Spark, DBT), .NET ecosystem, orchestration tools (Temporal, Airflow), or previous experience in high-growth startups.
Benefits
- Competitive salary and comprehensive benefits package.
- Flexible working arrangements and remote work options.
- Opportunities for professional growth and skill development.
- Collaborative, high-impact work environment with a strong engineering culture.
- Exposure to cutting-edge data engineering technologies and platform architecture.
Software Engineer, Data Platform in London employer: Jobgether
Join a forward-thinking company as a Software Engineer in the United Kingdom, where you will be part of a dynamic data platform team dedicated to building scalable backend systems and data pipelines. Enjoy a competitive salary, flexible working arrangements, and a collaborative work culture that fosters professional growth and exposure to cutting-edge technologies, making it an excellent place for those seeking meaningful and impactful employment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data platforms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got an AI-powered matching process that helps get your application in front of the right people quickly. It’s a win-win!
We think you need these skills to ace Software Engineer, Data Platform in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Software Engineer, Data Platform role. Highlight your experience with backend development, data pipelines, and any relevant technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention specific projects or experiences that showcase your problem-solving skills and ownership of engineering projects.
Showcase Your Technical Skills:In your application, don't forget to highlight your technical expertise, especially in SQL, cloud platforms, and any big data frameworks you've worked with. We love seeing candidates who are not just experienced but also eager to learn and adapt to new technologies.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. This way, your application will be reviewed quickly and fairly, ensuring you get the best chance at landing an interview with us. Good luck!
How to prepare for a job interview at Jobgether
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL and backend development. Brush up on your knowledge of data engineering tools and cloud platforms, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating your action-oriented mindset and ability to thrive in fast-paced environments.
✨Collaborate and Communicate
Since this role involves cross-functional collaboration, be ready to share examples of how you've worked with different teams. Highlight your communication skills and how you ensure everyone is aligned on project goals, which is crucial for delivering high-quality solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platform, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values and work style.
