Harnham
Data Engineer
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Data Engineer
6-months
£400 - £450 per day (outside IR35)
Remote
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.
The Company
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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The Role and Deliverables
- 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
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- 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.
How to Apply
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.
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