At a Glance
- Tasks: Design and build high-scale systems for data processing and analysis.
- Company: Join a leading tech company empowering global giants like Google and eBay.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative team environment with excellent career advancement potential.
- Why this job: Make a real impact by solving complex challenges with cutting-edge technology.
- Qualifications: 4+ years in server-side development with skills in Python, Java, or Scala.
The predicted salary is between 36000 - 60000 € per year.
Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game‑changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.
We are looking for a skilled Data / Backend Engineer to join our high‑performing Data Labs team and help design high‑scale systems that retrieve, process, and analyze digital data. You\'ll build and maintain robust backend infrastructure and data pipelines that power Similarweb\'s most strategic, data‑driven solutions. This customer‑facing role is ideal for someone who enjoys a fast‑paced environment and thrives on solving complex technical challenges. You\'ll work with leading global brands, helping them unlock insights from our unique datasets.
Our team specializes in custom data solutions tailored to client needs, collaborating closely with product and sales to assess requirements, ensure feasibility, and deliver scalable systems. You\'ll own projects end‑to‑end, from architecture to production, and continuously seek ways to improve performance and reliability. If you\'re passionate about building clean, reliable infrastructure and want to work at the intersection of engineering and customer impact, we\'d love to hear from you.
Key Responsibilities
- Design and build high‑scale systems and services to support data infrastructure and production systems.
- Develop and maintain data processing pipelines using technologies such as Airflow, PySpark and Databricks.
- Implement dockerized high‑performance microservices and manage their deployment.
- Monitor and debug backend systems and data pipelines to identify and resolve bottlenecks and failures.
- Work collaboratively with data scientists, analysts, and other engineers to develop and maintain data‑driven solutions.
- Serve as an engineering focal point, promoting best practices and enforcing architectural and coding standards.
Qualifications
- BSc degree in Computer Science or equivalent practical experience.
- At least 4+ years of server‑side software development experience in languages such as Python, Java, Scala, or Go.
- Experience with Big Data technologies like Spark, Databricks, and Airflow.
- Familiarity with cloud environments such as AWS or GCP and containerization technologies like Docker and Kubernetes.
- Strong problem‑solving skills and ability to learn new technologies quickly.
- Excellent communication skills and ability to work in a team‑oriented environment.
Nice to Have
- Familiarity with Microservices architecture and API development.
- Knowledge of databases like Redis, PostgreSQL, and DWH (such as Redshift, Snowflake, etc.).
We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.
Backend Data Engineer in City of London employer: SimilarWeb
At Similarweb, we pride ourselves on being an exceptional employer that fosters a vibrant work culture where innovation and collaboration thrive. Our employees enjoy competitive benefits, opportunities for professional growth, and the chance to work with leading global brands in a fast-paced environment. Join our diverse team of bright and curious individuals in our dynamic office, where your contributions will directly impact our customers' success and drive meaningful change in the digital landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your problem-solving skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Show off your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. We love seeing real examples of what you can do!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals like you to join our team!
We think you need these skills to ace Backend Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Backend Data Engineer role. Highlight your experience with Python, Big Data technologies, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Be genuine and let your personality come through!
Showcase Your Projects:If you've worked on any interesting projects, especially those involving data pipelines or backend systems, make sure to mention them. We love seeing real-world applications of your skills, so don't hold back!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our amazing team at StudySmarter!
How to prepare for a job interview at SimilarWeb
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Spark, and Airflow. Brush up on your knowledge of cloud environments like AWS or GCP, as well as containerization tools like Docker. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think about complex technical problems you've solved, especially those related to backend systems or data pipelines. This will demonstrate your analytical thinking and ability to thrive in a fast-paced environment.
✨Collaborate and Communicate
Since this role involves working closely with data scientists and analysts, be ready to talk about your experience in team settings. Highlight any projects where collaboration was key to success. Good communication skills are essential, so practice articulating your thoughts clearly and concisely.
✨Understand the Company’s Impact
Research Similarweb and its impact on clients like Google and eBay. Be prepared to discuss how you can contribute to their mission of empowering customers with data-driven insights. Showing that you understand the company’s goals will set you apart and demonstrate your genuine interest in the role.
