Data Engineer

Harnham
London, UK
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
£40,000.0 - £50,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure BigQuery Cloud Computing Information Engineering Data Infrastructure Extract Transform Load (ETL) Python (Programming Language) Standard Sql SQL Databases Cloud Platform System
+4 more
Snowflake Microsoft Fabric Data Pipelines Api Management

Job description

This is an exciting opportunity for a Data Engineer to join a technology-driven organisation. You’ll have the chance to build modern data platforms from the ground up, support AI-focused initiatives, and work across a range of high-profile client projects. You’ll play a key role in shaping the future of the data engineering capability., * Build and maintain modern data platforms and scalable data pipelines

  • Develop cloud-based data solutions
  • Support AI-enabled initiatives and emerging data products
  • Help establish engineering best practices
  • Support data modelling, reporting and analytics requirements

Requirements

  • Strong commercial experience with Python, SQL and cloud-based data platforms is essential
  • Experience in marketing, advertising or media sectors is highly desirable
  • Strong communication skills and ability to engage with stakeholders
  • Experience with Snowflake, Microsoft Fabric and/or BigQuery is highly desirable, * Snowflake
  • API Integrations
  • Data Engineering
  • ETL/ELT
  • Microsoft Fabric
  • Data Modelling
  • Data Pipelines
  • Python
  • SQL
  • Cloud Platforms (Azure/AWS/GCP)

Benefits & conditions

  • Up to £50,000 base salary
  • Contributory pension scheme

About the company

Our client is a well-established organisation operating at the intersection of data, technology and customer experience. They partner with a range of global brands to deliver innovative, data-led solutions across analytics, marketing and digital transformation. You’ll join a collaborative team working closely with Data Science and business stakeholders to solve complex data challenges.

Apply for this position

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