signal-ai - Analytics Engineer

• Managing the development and maintenance of ETL pipelines and data models using tools like SQL, dbt, and Airflow. • Transforming, analysing & enriching large sets of quantitative and qualitative data. • Creating & maintaining dashboards & artefacts built on top of pipelines in BI tools or via agents, to deliver key business insights. • Testing, unpicking & refining areas such as analytical scoring, user behaviour, product performance to identify trends & opportunities and set up the most relevant KPIs. • Taking ownership of meeting client processes to ensure accuracy and reliability for end users, with strong governance and quality testing. • Collaborating with product managers, engineers, and ops analysts to provide data-driven insights from well-designed data models. • Who are we looking for? • You are confident designing data models, owning semantic layers, and implementing transformation techniques with version control in data pipelines. • You enjoy understanding the business logic behind client use cases and translating them into structured data flows. • You have several years of strong experience with ETL/ELT processes and APIs with tools such as dbt, Airflow, and Talend. • You have strong expertise in SQL & Python for relational database systems such as Redshift/S3 and SQL Server. • You are comfortable working with agents and LLMs both internally and as part of the products. • You are keen to elevate projects from BI dashboards to agentic workflows. • You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. • You love building products as part of a cross-functional team, focused on an iterative, outcome-driven approach. • You have strong communication skills and are comfortable expressing your ideas and listening to multiple different audiences. • You have a positive attitude and are keen to learn new skills in order to succeed.