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Senior Data Engineer

Harnham - Data & Analytics Recruitment
Posted 17 hours ago, valid for a month
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 position is for a Senior Data Engineer based in the UK, offering a flexible or remote-first work environment.
  • The salary for this role is set at £90,000.
  • Candidates should possess significant experience in data engineering, ideally with a strong background in architecting cloud-native solutions.
  • Key responsibilities include leading the migration of data pipelines, designing ETL workflows, and providing technical leadership to team members.
  • The ideal applicant should have strong skills in Python and SQL, along with experience in cloud technologies and a passion for leveraging data as a business enabler.

Position: Senior Data Engineer - AudioLocation: UK (Flexible / Remote-first)Salary: £90,000

We're recruiting on behalf of a leading European digital media group that's undergoing a major data transformation across its multi-market audio division. They're looking for a Senior Data Engineer to help shape and scale their modern data architecture, enabling smarter insights, better audience engagement, and enhanced operational capabilities across nine international markets.

Role Summary:

This is a senior-level opportunity for a data engineer who thrives in complex environments and enjoys architecting high-impact, cloud-native data solutions. You'll play a key role in the implementation of a modern, layered data architecture, supporting the shift from legacy platforms and building the foundation for cross-market analytics and insight generation.

You'll collaborate closely with cross-functional teams and lead the technical delivery of scalable data pipelines and infrastructure. This role is ideal for a hands-on engineer with strong Python and SQL skills, cloud experience, and a drive to make data a true business enabler.

Key Responsibilities:
  • Modern Architecture Implementation:

    • Lead the migration of pipelines from legacy systems to a new multi-layered data architecture

    • Design and optimise ETL/ELT workflows using Airflow and Terraform

    • Develop containerised workloads using Kubernetes and productionise dbt models

    • Implement a platform supporting Raw, Processed, Curated, and Consumption data layers

  • Technical Leadership:

    • Provide technical guidance and mentor team members

    • Contribute to architectural decisions and best practices

    • Champion reusable and scalable solutions across projects

  • Hands-On Engineering:

    • Write performant SQL (Postgres, Cloud SQL) and Python for pipeline development

    • Build and maintain infrastructure for cloud data warehouses (BigQuery, Redshift)

    • Ensure pipeline observability with testing frameworks and monitoring tools

    • Develop reusable Airflow operators to streamline orchestration

  • Project Delivery:

    • Lead on high-priority initiatives including international data expansion

    • Support integrations with platforms like Braze and internal analytics tools

    • Collaborate with stakeholders across markets to deliver meaningful solutions

    • Design and implement robust monitoring and alerting systems

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.