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Data Engineer - Remote + O/IR35

Location:
London
Salary:
£450 - £550 per day + Remote + O/IR35
Job Type:
Contract
Date Posted:
8 days ago
Expiry Date:
16/02/2025
Job Ref:
Jan25DE_1735836815
Start Date:
02/01/2025
Contact:
Sergio Osman
Contact Email:
sergio.osman@xcede.com
Specialism:
Data Engineering


Data Engineer

UK Remote + O/IR35

Join our dynamic team as a Data Engineer, where you will have the opportunity to engage in a broad range of impactful responsibilities:

  • Developing the Core Data Platform: Build and enhance our data platform using AWS and Databricks, including writing Terraform and deploying robust infrastructure.
  • Collaborating Across Teams: Work closely with Product, Marketing, and other departments to enable data-driven decision-making and deliver insights and tools that drive innovation.
  • Designing and Implementing Pipelines: Create real-time data pipelines, batch ETL processes, and uphold high standards for data integrity, quality, and governance.
  • Managing the Data Warehouse: Maintain and optimize our data warehouse, focusing on best practices for performance, scalability, and disaster recovery.


Desired Technical Skills:

  • Proficiency in Python and Spark.
  • Hands-on experience with AWS Cloud (preferred).
  • Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
  • Strong knowledge of SQL and NoSQL databases.
  • Proven experience in building data warehouses and pipelines.
  • Expertise in data platform solutions such as Databricks and/or Snowflake.
  • Experience with containerization tools like Docker (ECS/Kubernetes - EKS) and orchestration tools (e.g., AWS Step Functions, Airflow, Dagster).

Nice to have:

  • Exposure to Change Data Capture (CDC) pipelines, preferrably AWS DMS
  • Understanding of event streaming architectures.


This role offers an exciting opportunity to shape the future of our data landscape while working with cutting-edge technologies.

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Sergio Osman

Sergio Osman

Specialisms: Data, Data Science, Digital & Product Analytics, Marketing & Insight Analytics, Data Engineering, Business Intelligence, Credit Risk & Analytics
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