Analytics Engineer — Data Pipelines & Self‑Service Insights

Signal; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Signal AI is seeking an Analytics Engineer to join our Business Analytics team, collaborating with Engineering and Commercial Solutions to design and build analytical models for enterprise clients and internal data users. You will own data pipelines, quality, and delivery methods, shaping how business logic becomes datasets for dashboards or agentic UI.

You’ll work with product managers, engineers, and ops analysts to transform SQL and Python-driven data into actionable insights, manage ETL/ELT

Qualifications

• Several years of ETL/ELT experience with APIs.
• Experience with SQL and Python for relational DBs.
• Experience with Redshift/S3.
• Ability to design data models and semantic layers.
• Experience with dbt, Airflow and Talend.

Responsibilities

• Develop and maintain ETL pipelines and data models.
• Transform and enrich large data sets for insights.
• Create and maintain dashboards and artefacts on top of pipelines.
• Test governance, KPIs and data quality for end users.
• Collaborate with product, engineering and ops analysts.

Skills

ETL/ELT design

Data modeling

Semantic layers

Version control

Cross-functional teamwork

Education

Bachelor's degree in CS/IS

Tools

dbt

Airflow

Talend

SQL

Python

Redshift

Job description

Signal AI is seeking an Analytics Engineer to join our Business Analytics team, collaborating with Engineering and Commercial Solutions to design and build analytical models for enterprise clients and internal data users. You will own data pipelines, quality, and delivery methods, shaping how business logic becomes datasets for dashboards or agentic UI.

You’ll work with product managers, engineers, and ops analysts to transform SQL and Python-driven data into actionable insights, manage ETL/ELT