Senior Real-Time Data Engineer — Streaming & Analytics

United States Digital Space LLC; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Health coverage

Lunch provided

Commute support

Sports facility

Job summary

United States Digital Space LLC in London seeks a Senior Data Engineer to join our Analytics & Data Platform team, building features for 22,000+ customers worldwide. This role focuses on near real-time data solutions, scalable architecture, and analytics reporting.

You will translate business needs into data models, optimize queries, and contribute to production-grade pipelines using Scala, Python, SQL, and AWS technologies. Collaboration and mentoring are expected.

Qualifications

• Bachelor's degree in a technical field (e.g., computer science or mathematics).
• 3+ years experience with near real-time analytics.
• 5+ years experience with a modern programming language such as Scala, Python, Go, Typescript.
• Experience designing complex data processing pipelines and data modeling in AWS Redshift.
• Experience with Kafka is a plus.
• Shipping and maintaining code in production.

Responsibilities

• Have key responsibilities within requirements analysis, scalable low-latency streaming platform design, architecture and end-to-end delivery.
• Analyze and translate business needs into data models and optimize for big data.
• Identify slow queries and optimize for performance.
• Write clean scalable code using Scala, Python, and SQL; test and deploy applications.
• Work with engineering to deliver high-quality, secure, scalable solutions.
• Involvement in product and platform performance optimization and live site monitoring.
• Mentor team members through actionable feedback.

Skills

Scala

Python

SQL

Go

Typescript

Education

Bachelor's degree in a technical field

Tools

AWS

Kinesis

Kafka

S3

DMS

Glue

EMR

EKS

Redshift

Spectrum

Apache Pinot

Apache Flink

Airflow

GitLab

Job description

United States Digital Space LLC in London seeks a Senior Data Engineer to join our Analytics & Data Platform team, building features for 22,000+ customers worldwide. This role focuses on near real-time data solutions, scalable architecture, and analytics reporting.

You will translate business needs into data models, optimize queries, and contribute to production-grade pipelines using Scala, Python, SQL, and AWS technologies. Collaboration and mentoring are expected.