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Remote, London·Added 2 months ago (last checked 2 Nov)
Our summary
- Salary
- £400 - £450 a day
- Work mode
- Remote (London)
- Contract
- Contract role, outside IR35



Skills
Harnham is hiring for this role in several places. This vacancy is in London.
Pay & benefits
What you'll get
£400 - £450 per day (outside IR35)
Remote
The role
This is an opportunity to join a leading organisation within the media sector, supporting a major data transformation programme across their cloud data platform. You'll play a key role in building and optimising scalable data pipelines and analytics solutions, working across AWS, Snowflake, dbt and Airflow to deliver high-quality data products.
- Develop, enhance, and maintain scalable data pipelines using AWS, Snowflake, dbt and Airflow.
- Build and optimise data transformation models using dbt and SQL.
- Develop and maintain reliable data ingestion and orchestration workflows using Airflow.
- Work with large-scale datasets within Snowflake and AWS environments.
- Collaborate with data engineering, analytics, and platform teams to ensure data solutions are robust and fit for purpose.
- Contribute to testing, monitoring, documentation, and ongoing optimisation of data pipelines and models.
Your Skills & Experience
- Strong experience with SQL and modern data engineering practices.
- Hands-on experience with Snowflake and dbt.
- Strong experience working with Apache Airflow for data orchestration.
- Experience working with AWS data services and cloud-based data platforms.
- Strong Python skills for data engineering and pipeline development.
- Ability to analyse, transform, and optimise complex datasets.
- Strong problem-solving skills and ability to work collaboratively with technical and business stakeholders.
Hiring process
If you have strong AWS, Snowflake, dbt and Airflow experience and are interested in working on a modern data transformation programme within the media sector, please apply with your latest CV.
About Harnham
- Industry
- Staffing and Recruiting
In their own words
About the company & team
They are a well-established media organisation with a large and diverse audience, using data and technology to drive content, commercial, and customer decisions. As part of a significant data platform modernisation initiative, they are expanding their data engineering capability and investing in modern cloud technologies. This role offers the chance to work with large-scale data within a highly collaborative engineering environment.
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