CRM & Data Platform Engineer - Integrations & Pipelines

CRM & Data Platform Engineer - Integrations & Pipelines

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build data pipelines to modernise our CRM and data platform.
  • Company: Join Amnesty International UK, a leader in human rights advocacy.
  • Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving digital transformation.
  • Why this job: Make a difference by transforming data processes that support vital human rights work.
  • Qualifications: Experience in data engineering and a passion for social justice.

The predicted salary is between 63000 - 77000 Β£ per year.

Amnesty International UK (AIUK) is seeking a Data Engineer to help modernise our CRM and data platform.

You will design, build, test and maintain data pipelines, integrations and transformation processes to move data reliably between our systems.

You will work in the Data, Digital and Technology Transformation team, translating business needs into robust technical solutions and ensuring compliance with UK fundraising data regulations.

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CRM & Data Platform Engineer - Integrations & Pipelines employer: Amnesty International UK

Amnesty International UK is an exceptional employer that fosters a supportive and inclusive work culture in the heart of London. With a strong commitment to employee growth, you will have access to various learning and development opportunities while contributing to meaningful initiatives that promote human rights. The hybrid working model allows for flexibility, ensuring a healthy work-life balance as you engage with passionate colleagues dedicated to making a difference.

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Contact Details:

Amnesty International UK Recruitment Team

We think you need these skills to ace CRM & Data Platform Engineer - Integrations & Pipelines

SQL
Python
Data Pipeline Development
API Integration
Problem-Solving Skills
Communication Skills
Data Engineering