Amber Labs is hiring a
Data Engineer

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Amber Labs

πŸ’΅ ~$41k-$45k
πŸ“Remote - United Kingdom

Summary

This job is for a Data Engineer at Amber Labs, a UK and European technology consultancy that values autonomy, experimentation, and rapid learning. The role involves designing, developing, and maintaining data pipelines, collaborating with cross-functional teams, and ensuring data quality and governance.

Requirements

  • AWS: S3, Lambda, EMR, SMS, SQS, and additional services related to data infrastructure
  • Terraform
  • Databricks
  • Data Lake, Warehouse, Lakehouse architecture and design
  • Python/Pyspark
  • Data platforms and notebooks: Jupyter, Databricks, Azure
  • Gitlab: repository and CI/CD

Responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines for ingesting, transforming, and loading data from various sources
  • Collaborate with data architects and analysts to understand data requirements and implement efficient data models
  • Utilize SSIS to create and manage ETL (Extract, Transform, Load) processes for seamless data integration
  • Implement data quality checks and validations within ETL processes to ensure accurate and reliable data
  • Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions

Preferred Qualifications

Java (Spring Boot) experience is a plus

Benefits

  • Join a rapidly expanding startup where personal growth is a part of our DNA
  • Benefit from a flexible work environment focused on deliverable outcomes
  • Receive private medical insurance through Aviva
  • Enjoy the benefits of a company pension plan through Nest
  • 25 days of annual leave plus UK bank holidays
  • Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources
  • Participate in a generous employee referral program
  • A highly collaborative and collegial environment with opportunities for career advancement
  • Be encouraged to take bold steps and embrace a mindset of experimentation
  • Choose your preferred device, PC or Mac

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