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Senior Data Engineer

Harnham - Data & Analytics Recruitment
Posted 3 days ago, valid for 5 days
Location

London, Greater London EC1R 0WX

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 Senior Data Engineer position offers a salary of £82,000 and requires extensive experience in Data Engineering.
  • Candidates should have a strong focus on Azure, Databricks, and Delta Lake, as well as proficiency in Kubernetes and Infrastructure as Code.
  • The role involves enhancing data infrastructure reliability, managing data ingestion pipelines, and supporting Data Analytics initiatives.
  • The company promotes a flexible hybrid working model and emphasizes collaboration within a small, agile team.
  • Benefits include generous holiday allowances, private medical insurance, and opportunities for career development.

Senior Data Engineer - £82,000 - Hybrid & Remote Flexibility

No Sponsorship Available

CompanyWe are a forward-thinking technology company dedicated to simplifying complex processes through innovative solutions. With a focus on enhancing efficiency and transparency, we strive to deliver outstanding experiences for our customers. Our team operates with a flexible hybrid working model, fostering collaboration and innovation in a supportive environment.

ResponsibilitiesAs a Senior Data Engineer, you'll play a pivotal role in advancing our data infrastructure to support our expanding scope and responsibilities. Key responsibilities include:

  • Enhancing the reliability and stability of our data infrastructure.
  • Managing data ingestion pipelines using tools such as Azure Data Factory (ADF) and Python.
  • Ensuring the quality of raw datasets to empower Data Analysts in creating robust data models.
  • Deploying and managing data tools on Kubernetes (Airflow, Superset, RStudio Connect).
  • Supporting Data Analytics through the management of DBT, DevOps, and deployment rules.

You will have the opportunity to work end-to-end, making meaningful contributions within a small, agile team.

ExperienceWe're looking for candidates with:

  • Extensive experience in Data Engineering with a focus on Azure, Databricks, and Delta Lake.
  • Proficiency in Kubernetes, Infrastructure as Code, and Terraform.
  • Expertise in Azure DevOps and a commitment to best practices.
  • A preference for simple, transparent solutions and a drive for innovation.

Your ability to deliver reliable, scalable solutions while working in a fast-paced, collaborative environment will be key to success in this role.

BenefitsWe believe in supporting our employees' well-being and professional growth with:

  • Competitive salary, with a package up to £82,000 depending on experience.
  • Generous holiday allowance and flexible working options.
  • Private medical insurance, pension scheme, and cycle-to-work scheme.
  • Death-in-service insurance and enhanced sick pay.
  • Opportunities for career development through a structured performance management program.

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.