Do you have a passion for developing complex, intelligent, data-driven systems and cloud solutions? Do you want to work on challenging proje…
Data Engineer
Up to £70,000 + Benefits Central London (Hybrid Working)
This is a fantastic opportunity to join a purpose-driven organisation where you can take ownership of building and developing a modern cloud-based analytics platform that supports data-driven decision-making across the business. THE COMPANY: Operating at the heart of the music industry, you will be part of an ongoing digital transformation programme, the business is investing heavily in its cloud-based Analytic Data Platform, creating an opportunity to work with cutting-edge data technologies while contributing to a platform that delivers real-world impact. THE ROLE: Key responsibilities include:
Designing, building and maintaining scalable data pipelines and integrations.
Developing robust ETL and data transformation processes to support analytics and reporting requirements.
Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions.
Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible data across the organisation.
Contributing to engineering best practice, automation, testing, documentation and continuous improvement initiatives.
YOUR SKILLS AND EXPERIENCE: You will bring strong capability in:
SQL and Python development.
Building and maintaining ETL/data pipelines in production environments.
Cloud-based data platforms, ideally within AWS.
Data modelling, transformation and orchestration methodologies.
Delivering high-quality, well-documented and thoroughly tested data solutions.
Experience with Snowflake, DBT and Apache Airflow.
Interest in AI and emerging technologies within the data engineering landscape.
THE BENEFITS: You will receive a salary of up to £70,000 depending on experience, along with a comprehensive benefits package. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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