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An advanced analytics business is seeking a Senior Data Engineer to enhance their data infrastructure and support decision-making. This role involves designing robust data pipelines, ensuring data quality, and collaborating with cross-functional teams to drive insights. The company has achieved remarkable success in the eCommerce sector, providing trusted solutions to leading brands. If you're passionate about data engineering and eager to contribute to innovative projects, this is an exciting opportunity to join a rapidly expanding organization.
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Senior Data Engineer – West London (office based 4 days a week)
We are currently looking for a Senior Data Engineer to join an advanced analytics business who provide insights for ecommerce customers. As an organisation they have experienced amazing success over the last few years and are now rapidly expanding. The platform they have built is trusted by some of the worlds most recognisable eCommerce brands.
The Role
As a Senior Data Engineer, you’ll play a key role in building and scaling the data infrastructure that powers decision-making across the business. You will design and maintain robust data pipelines, ensure high data quality, and collaborate closely with analytics, engineering, and data science teams to drive insights and innovation.
Key Responsibilities
* Build and maintain data models that support analytics, machine learning, and reporting needs.
* Design, implement, and optimize scalable ELT processes using modern data stack technologies.
* Ensure data accuracy and reliability across multiple sources and systems.
* Define and promote data quality standards across the organization.
* Partner with stakeholders to understand data requirements and deliver high-impact solutions.
* Contribute to the development of the data roadmap and architecture strategy.
* Conduct exploratory data analysis to identify trends, patterns, and opportunities.
* Champion process improvements and advocate for best practices in data engineering.
* Stay informed on emerging tools, frameworks, and practices in the data space.
Requirements
* Strong expertise in PostgreSQL and SQL.
* Proficient in Python for data engineering tasks.
* Solid understanding of ELT pipelines, data architecture, and data modeling.
* Experience with modern data transformation tools such as dbt.
* Familiarity with AWS-based data pipeline services and cloud architecture.
* Comfortable working in agile teams and cross-functional environments.
* Knowledge of statistical concepts and their application in data-driven systems.
If you have the desired skills and experience and would like to find out more please respond to this advert by following the link below and attaching a copy of your most recent CV. If successful we will be in touch to discuss the role in more detail.