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Senior Data Engineer

Harnham - Data & Analytics Recruitment
Posted 12 hours ago, valid for a month
Location

Kidlington, Oxfordshire OX5 2XY

Salary

£60,000 - £72,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Senior Data Engineer, located remotely with occasional meetings in Oxford, offering a salary of £82k plus benefits.
  • The role requires proven Data Engineering experience, particularly with Azure, Databricks, and Delta Lake, along with a strong knowledge of Kubernetes and Azure DevOps.
  • Key responsibilities include enhancing data infrastructure, managing data ingestion pipelines, and supporting Data Analytics workflows.
  • The company offers an enhanced holiday package, flexible working hours, and a comprehensive benefits package including private medical insurance and a competitive pension.
  • Candidates should have a proactive approach to driving best practices and delivering effective solutions, with a focus on simplicity and transparency.

Senior Data Engineer

Location: Remote, Oxford (Once per Month)

Salary: £82k + Benefits

Overview:

We are looking for a Senior Data Engineer to play a key role in evolving our data infrastructure, ensuring enhanced reliability and scalability. Reporting to the Data & Analytics Director, you will be integral in driving forward our data capabilities, as we move towards a larger data mesh set-up managed from a central hub of excellence. Over the past three years, we have built a lakehouse architecture with automated reporting and self-service capabilities. With an expanding scope, we now need a Senior Data Engineer to mature and scale our solution efficiently, focusing on DataOps/DevOps, data ingestion, and processing within Databricks.

Key Responsibilities:

  • Enhance and stabilize our data infrastructure for increased reliability.
  • Manage data ingestion pipelines (currently using ADF and Python).
  • Ensure high-quality raw datasets to enable Data Analysts in creating reliable data models.
  • Deploy and manage data-related tools on Kubernetes, including Airflow, Superset, and RStudio Connect.
  • Support Data Analytics workflows by managing DBT, implementing deployment rules, and handling DevOps processes.

Skills & Experience:

  • Proven Data Engineering experience, particularly with Azure, Databricks, and Delta Lake.
  • Expertise in Kubernetes, Infrastructure as Code, and Terraform.
  • Strong knowledge of Azure DevOps.
  • Preference for simplicity and transparency in solutions, avoiding unnecessary complexity.
  • Innovative and proactive approach, driving forward best practices and delivering effective solutions.

What We Offer:

  • Enhanced holiday package to support work-life balance.
  • Flexible hours and hybrid working options.
  • Access to our modern head office in Thame, Oxfordshire-a great environment for collaboration and teamwork.
  • Comprehensive benefits package, including private medical insurance, competitive pension, cycle-to-work scheme, volunteering days, death-in-service insurance, and sick pay.
  • Social events to foster team connection and maintain a fun, engaging workplace culture.
  • Career development support through a detailed performance management system.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.