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Contract Senior Data Engineer OUTSIDE IR35

Searchability

Lancashire

Hybrid

GBP 60,000 - 80,000

Part time

3 days ago
Be an early applicant

Job summary

A leading recruitment agency is looking for a Senior Data Engineer for a contract position. The ideal candidate will have expertise in Databricks and Apache Spark, with responsibilities including designing and optimizing real-time streaming data platforms. Based in the North West, this role requires on-site presence two days a week and offers a competitive day rate of £450-500.

Qualifications

  • Experience with real-time streaming data platforms.
  • Strong knowledge of Databricks and Apache Spark.

Responsibilities

  • Design and develop real-time streaming data platforms.
  • Lead projects and ensure delivery on time.

Skills

Databricks
Apache Spark
Job description
Contract Senior Data Engineer (OUTSIDE IR35) - Databricks/Apache Spark

NEW CONTRACT VACANCY AVAILABLE - HYBRID NORTH WEST

Contract position available for UK-based candidates. UK-Based organisation - 2 days on-site in the North West. Outside IR35. Day rate: £450-500. Duration: 3 months (extensions likely).

Overview

We are one of the UK's leading organisations within the Betting and Gaming industry.

What will you be doing?

As a Senior Data Engineer, you will be responsible for designing, developing and optimizing real time streaming data platforms. You will be highly experienced with Apache Spark and Databricks and will have used these in your most recent roles. As a Senior, you will play a key figure in taking control and leading the project. You will need to be in our North West office twice per week.

We need you to have
  • Databricks
  • Apache Spark
  • Databricks certified (preferable)
To be considered

Please either apply online or email me directly. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. I look forward to hearing from you.

Key Skills

Databricks, Apache Spark

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