Artefact
Senior Data Engineer
- Location
- 17th Floor, 5 Aldermanbury Square, London, EC2V 7HR
- Last checked
- Oct 26, 2026
About this role
Senior Data Engineer
Who we are
Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.
We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.
Job Summary
We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.
Key Responsibilities
- Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
- Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
- Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
- Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
- Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.