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Data engineer

London
Xcede
Data engineer
Posted: 8h ago
Offer description

Xcede Greater London, England, United Kingdom

Xcede Greater London, England, United Kingdom

This range is provided by Xcede. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

Direct message the job poster from Xcede


Senior Recruitment Consultant - Data Engineering

Xcede is excited to be partnering with a cutting-edge digital insurer investing heavily in AI, machine learning, and modern cloud data infrastructure.

We're looking for a Data Engineer to help design and build next-gen data products on an industry-leading platform. You’ll work in a cross-functional team of engineers, data scientists, and architects to create scalable data pipelines, enable advanced analytics, and support ML & GenAI-driven innovation.

What makes this role exciting?

You’ll work closely with architects to define the best designs for data products, while experimenting with ML & AI infrastructure. From batch to real-time processing and GenAI applications, your impact will stretch across the entire data lifecycle.

What you'll do:

• Build and support modern data products within a high-performance cloud platform

• Collaborate with cross-functional squads to solve real-world data challenges

• Design, build, and optimise scalable data pipelines using Python, Spark & Databricks

• Work on orchestration, monitoring, and performance optimisation

• Create frameworks and processes for high-quality, scalable data workflows

• Help shape and promote software engineering best practices

• Support ML/AI workflows and GenAI projects in a production environment

• Partner with architects to explore new tools and scalable data solutions

️ Tech stack & must-have experience:

• Strong Python skills & deep knowledge of the Python data ecosystem

• Solid SQL skills and experience with data modelling best practices

• Hands-on experience with Databricks or Snowflake, ideally on AWS (open to Azure)

• Strong knowledge of Spark or PySpark

• Experience with CI/CD, Git, Jenkins (or similar tools)

• Proven ability to think about scalability, production readiness, and data quality

• Experience working in Agile, collaborative teams

• Experience with Terraform, Docker, or Kubernetes

• Exposure to GenAI in production

• Experience with Airflow or similar orchestration tools

• Background in software engineering principles and cloud-first design

Why join?

You’ll be joining a forward-thinking, collaborative environment where data is at the heart of decision-making. This is a chance to work with some of the smartest minds in the space and shape the future of AI-enabled insurance.

Apply via the link or reach out to me – drop me a message here on LinkedIn or email me directly at Cameron.Mason@Xcede.com – happy to chat through the details!


Seniority level

* Seniority level

Not Applicable


Employment type

* Employment type

Full-time


Job function

* Job function

Information Technology
* Industries

Insurance

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