Analytics Engineer: Build Data Pipelines & AI-Driven Insights

Signal AI; Greater London; On-site; GBP 45,000 - 55,000; Full time

Job summary

Signal AI is seeking an Analytics Engineer to join the Business Analytics team, working with Engineering and Commercial & Strategic Solutions to design and build analytical models for premium enterprise clients and internal data users. You will manage data pipelines, quality and delivery methods, and craft business logic into datasets for dashboards or agentic UIs.

You will own data models, semantic layers and transformation techniques, collaborate with cross-functional teams, and ensure

Qualifications

• Several years of ETL/ELT experience with dbt, Airflow and Talend.
• Strong SQL and Python for relational databases.
• Experience designing data models and semantic layers.
• Ability to translate client use cases into structured data flows.

Responsibilities

• Manage development and maintenance of ETL pipelines and data models.
• Transform, analyze and enrich large datasets for insights.
• Create and maintain dashboards and artefacts on top of pipelines.
• Test governance, data quality and KPI relevance across projects.
• Collaborate with product, engineering and ops to deliver data-driven insights.

Skills

ETL pipelines

data models

SQL

Python

dbt

Airflow

LLMs

semantic layers

APIs

Dashboards

Quality testing

Tools

Talend

Job description

Signal AI is seeking an Analytics Engineer to join the Business Analytics team, working with Engineering and Commercial & Strategic Solutions to design and build analytical models for premium enterprise clients and internal data users. You will manage data pipelines, quality and delivery methods, and craft business logic into datasets for dashboards or agentic UIs.

You will own data models, semantic layers and transformation techniques, collaborate with cross-functional teams, and ensure