Data Streaming Engineer

TrueNorth®; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

A cutting-edge e-commerce company based in London is seeking a Staff/Principal Data Streaming Engineer to shape their technical strategy for a modern, cloud-native data platform. Ideal candidates will have strong experience in real-time data systems and a solid background with streaming tools like Flink and Kafka. This role is fully remote and offers a flexible contract/potential permanent position, requiring candidates to have full right to work in the UK.

Qualifications

• Proven experience as a Senior Data Engineer, focused on real-time, distributed systems.
• Deep expertise with modern streaming tools such as Flink, Kafka, Spark, and Databricks.
• Strong cloud-native data architecture experience (AWS, GCP, or Azure).
• Experience defining technical strategy and roadmaps.
• Proficient in Python, Java, or Scala.

Responsibilities

• Shape and deliver the technical strategy for a cloud-native, real-time data platform.
• Define technical strategy and create actionable roadmaps.
• Work on privacy-sensitive data and data governance frameworks.

Skills

Data Engineering

Real-time systems

Streaming tools: Flink

Kafka

Spark

Databricks

Cloud-native architecture

Python

Scala

Java

Tools

Airflow

Dagster

DBT

Databricks

Airflow

DBT

Dagster

Job description

Contract or Perm | E-commerce | Principal/Staff Data Streaming Engineer

• Duration: 6 months or perm
• Start Date: ASAP

I'm currently hiring for a cutting-edge e-commerce company based in London that’s making a shift towards a streaming-first data architecture. As part of this transformation, they’re looking for an experienced Staff/Principal Data Streaming Engineer to join on a 6-month contract (outside IR35). The company is also considering permanent applicants for this position. This role is fully remote.

We are unable to offer sponsorship for this position. All candidates must have full right to work in the UK.

The Opportunity

You’ll play a key role in shaping and delivering the technical strategy behind a modern, cloud-native, real-time data platform.

What We’re Looking For

The ideal candidate will bring a strong blend of strategic thinking and hands‑on engineering. Specifically, you’ll have:

• Proven experience as a Senior Data Engineer, focused on real-time, distributed systems
• Deep expertise with modern streaming tools: Flink, Kafka, Spark, Databricks
• Strong cloud-native data architecture experience (AWS, GCP, or Azure)
• Solid understanding of streaming vs. batch processing paradigms
• Experience defining technical strategy and creating actionable roadmaps
• Familiarity with broader data ecosystem tools like Airflow, Dagster, DBT
• Strong in Python, Scala, or Java
• A background in ETL/ELT pipelines, data warehousing, and analytics engineering best practices
• Experience working with privacy-sensitive data and implementing data governance frameworks
• Clear, confident communication and a collaborative mindset to align diverse stakeholders