Backend Data Engineer

SimilarWeb; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in data solutions is seeking a Data / Backend Engineer to enhance its high-scale systems and data pipelines in London. You will play a vital role in building robust infrastructure and delivering client-focused data solutions, working with both engineering and sales teams to ensure success. Ideal candidates will possess a solid foundation in software development with a passion for solving complex challenges in a collaborative environment.

Qualifications

• 4+ years of server-side software development in Python, Java, Scala, or Go.
• Familiarity with AWS or GCP cloud environments.
• Experience with containerization technologies like Docker.

Responsibilities

• Design and build high-scale systems for data infrastructure.
• Develop and maintain data processing pipelines using Airflow and PySpark.
• Monitor and debug backend systems to identify and resolve issues.

Skills

Problem-solving

Communication

Education

BSc degree in Computer Science

Tools

Spark

Databricks

Job description

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 asPython, Java, Scala, or Go.

- Experience withBig Datatechnologies likeSpark, Databricks,andAirflow.

- Familiarity with cloud environments such asAWSor GCP and containerization technologies likeDockerandKubernetes.

- 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.).

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