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Senior Data Engineer

Vallum Associates

England

Remote

GBP 60,000 - 80,000

Full time

Today
Be an early applicant

Job summary

A leading recruitment agency is seeking a Senior Data Engineer for a 6-month rolling contract. This remote role involves delivering data-rich software and contributing to the architectural design of data-centric products. Candidates must have strong experience with AWS, data migrations, and PySpark to ensure effective data processing and transformations. Excellent opportunity in a fast-paced environment.

Qualifications

  • Experience designing and implementing data migrations at scale.
  • Experience working on enterprise scale data platforms.
  • Proficiency in AWS services such as S3, Lambda, EMR/Glue, Athena, Redshift.
  • Strong PySpark skills for data processing and transformation.
  • Ability to build serverless data workflows using AWS Lambda.
  • A proactive mindset focused on clean, scalable data engineering solutions.

Responsibilities

  • Deliver data-rich software and contribute to architectural design.
  • Involved in development of data-centric products from ingest to egress.

Skills

AWS
Data migration
PySpark
Databricks
Job description

Job description

Senior Data Engineer - Contract - AWS, Databricks, PySpark, Data Migration

  • 6 months rolling contract

  • Remote based

  • Outside IR35

  • Must have strong AWS, Data migrations, PySpark, Databricks experience

As a Senior Data Engineer you will deliver data-rich software and contribute to the architectural design, technical approach and implementation mechanisms adopted by the team. You will be directly involved in the development of data-centric products from ingest to egress via pipelines, data warehousing, cataloguing, integrations and other mechanisms.

Senior Data Engineer - What We’re Looking For

  • Experience designing and implementing

    data migrations at scale

  • Experience working on enterprise scale data platforms

  • Proficiency in

    AWS services

    such as S3, Lambda, EMR/Glue, Athena, Redshift

  • Strong

    PySpark skills

    for data processing and transformation

  • Ability to build

    serverless data workflows using AWS Lambda

  • A proactive mindset focused on clean, scalable data engineering solutions

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