Analytics Engineer — Data Pipelines & AI-Driven Insights

Appinio; Greater London; Remote; GBP 65,000 - 90,000; Full time

Benefits offered by this job

MacBook provided

Mobility budget

Coworking space access

Job summary

Appinio, a global market research company, is hiring an Analytics Engineer to design scalable data models and maintain data pipelines that fuel insights for 260+ clients worldwide.

You will transform data with SQL, dbt, and Python, define metrics like revenue and churn, and partner with analysts and engineers to build a robust data platform. This remote-first role offers international scope and opportunities to push AI-powered automation across the stack.

Qualifications

• Proven experience designing scalable data models in a modern data warehouse.
• Hands-on with SQL, Python and dbt for data transformation.
• Experience with cloud data warehouses (Redshift, Snowflake, or BigQuery).
• Strong data quality, testing, and monitoring practices.

Responsibilities

• Design, build, and maintain scalable data models in the data warehouse.
• Create and maintain data transformation workflows using SQL and dbt.
• Develop data pipelines, integrations, and reliable ingestions from APIs and databases.
• Define and standardise key metrics like revenue and churn.
• Collaborate with analysts and engineers to deliver reliable data solutions.
• Optimize queries and pipelines for performance and cost efficiency.
• Document data models and transformations for transparency.

Skills

SQL

dbt

Python

Data modeling

Data warehousing

Data quality

Problem solving

Collaboration

AI & automation

Tools

Amazon Redshift

Snowflake

BigQuery

Job description

Appinio, a global market research company, is hiring an Analytics Engineer to design scalable data models and maintain data pipelines that fuel insights for 260+ clients worldwide.

You will transform data with SQL, dbt, and Python, define metrics like revenue and churn, and partner with analysts and engineers to build a robust data platform. This remote-first role offers international scope and opportunities to push AI-powered automation across the stack.