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Data Engineer- Python, SQL,

iO Associates

Oxford

Hybrid

GBP 60,000 - 80,000

27 days ago

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Job summary

An exciting opportunity awaits a skilled Data Engineer to join a forward-thinking company dedicated to sustainability. In this role, you will help modernize and automate data systems, ensuring data quality and consistency while working with cutting-edge cloud technologies. You'll be building robust ETL pipelines and contributing to the development of cloud infrastructure. With flexible working arrangements and a generous benefits package, this position offers a chance to make a real impact in the world of data. If you're ready to take your career to the next level, this is the perfect opportunity for you.

Benefits

35 days holiday + bank holidays

Employer pension contribution of 7%

Healthcare cashback plan

Qualifications

  • Hands-on experience in building ETL pipelines and managing data infrastructure.
  • Strong technical skills in SQL and Python, with a focus on data quality.

Responsibilities

  • Build and maintain data pipelines using industry-standard tools.
  • Create automated CI/CD pipelines to streamline data processes.

Skills

ETL Pipelines

SQL (Postgres)

Python (including pandas)

Data Quality Improvement

Tools

AWS

Airflow

dbt

Terraform

Git

GitHub Actions

Job description

You are a skilled Data Engineer eager to make an impact in an exciting new business building innovative data systems and placing an emphasis on sustainability. If this sounds like you - carry on reading!


We are looking for a hands-on Data Engineer to join our client's growing team and help modernize and automate our data platform as we scale.


Key Responsibilities:

  • Build and maintain data pipelines using industry-standard tools.
  • Contribute to cloud infrastructure development, improvements and maintenance.
  • Create automated CI/CD pipelines to streamline data processes.
  • Resolve data issues, ensure data quality and consistency.

What We're Looking For:

  • Experience in building robust ETL pipelines and managing data infrastructure.
  • Strong technical skills in SQL (ideally Postgres), Python (including pandas), and experience with cloud data tools.
  • Knowledge of AWS, Airflow, dbt, Terraform, Git, and GitHub Actions.

Desired Experience:

  • Experience in improving data quality, data cleaning, and automating data processing tasks.

Benefits:

  • Salary: £47,000-55,000 per year
  • Location: The role is based in Oxford with flexible home-working arrangements.
  • 35 days holiday + bank holidays
  • Employer pension contribution of 7%.
  • Healthcare cashback plan.


Helping the world heal, one code at a time. How long will you leave your future waiting on the line?

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