Backend Data Engineer

Similarweb; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global data solutions company is seeking a Data / Backend Engineer to design and implement data infrastructure systems. The role involves building robust data pipelines and microservices while collaborating with cross-functional teams. Applicants should have a BSc in Computer Science and extensive experience in server-side development with technologies like Python and AWS. This position offers the opportunity to work in a fast-paced environment with leading global brands.

Qualifications

• At least 4+ years of server-side software development experience.
• Experience with Big Data technologies and data processing pipelines.
• Strong problem-solving skills and ability to learn quickly.

Responsibilities

• Design and build high-scale systems and services for data infrastructure.
• Develop and maintain data processing pipelines using relevant technologies.
• Monitor and debug backend systems and data pipelines.

Skills

Python

Java

Scala

Go

Spark

Databricks

Airflow

Docker

Kubernetes

Problem-solving

Education

BSc degree in Computer Science or equivalent

Tools

AWS

GCP

Redis

PostgreSQL

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 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.).

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