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Data Engineer (Contract)

Harnham
London
3 weeks ago
Applications closed

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We are partnering with a client undergoing a critical transformation of their data infrastructure and CRM capabilities. They are seeking a hands-on Data Engineer with strong AWS experience to support two key initiatives: finalising a Braze CRM integration and migrating legacy R-based data pipelines to a modern cloud-native stack.

Phase 1: CRM Data Engineering (Month 1)

  • Support the CRM team with data engineering requests.

  • QA, deploy, and monitor data pipelines that push third-party formatted data into Braze.

  • Manage ad hoc CRM data tasks including journey updates and API integrations.

  • Work extensively within AWS using Lambda, API Gateway, and Python to maintain and enhance integrations.

Phase 2: Legacy Pipeline Migration (Months 2-3)

  • Analyze and understand existing R-based data pipelines created by data scientists.

  • Migrate these pipelines into Airflow, dbt, and Terraform workflows.

  • Modernize and scale legacy infrastructure running on AWS.

  • Collaborate with engineering teams to ensure a smooth transition and system stability.

Languages & Scripting:

  • Python (primary scripting language for Lambda functions)

  • SQL (BigQuery, Redshift)

  • R (not essential but beneficial for interpreting existing scripts)

Cloud & Infrastructure:

  • AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose

  • Terraform for infrastructure as code

Orchestration & Transformation:

  • Apache Airflow

  • dbt

CRM & Marketing Tools:

  • Braze (preferred)

  • Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is a plus

Candidate Profile

  • Proven commercial experience as a data engineer; industry background is not critical.

  • Hands-on, pragmatic, and able to deliver quickly with minimal supervision.

  • Strong communicator, able to clearly explain technical decisions and project status.

  • Willing to take on essential but sometimes "tedious" tasks without hesitation.

  • Practical attitude, especially when working with legacy systems or imperfect code.

  • Ideally, experience migrating legacy scripting environments (e.g., R to Python) to modern pipelines.

National AI Awards 2025

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