Senior Data Engineer — Remote (Ad Tech Data Pipelines)

The Product Counsel; Cambridge; Remote; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working hours

Remote-friendly culture

Job summary

The Product Counsel is seeking a pragmatic Data Scientist to join our data team, working remotely with a preference for candidates in London or Cambridge. You will leverage vast advertising datasets to develop and deploy ML models that drive business impact, collaborating with a data engineer while focusing on modelling, mathematics, and actionable insights.

You’ll own end-to-end data pipelines, improve ETL/ELT workflows, and design analytics-ready data models that scale across platforms,

Qualifications

• Experience in Ad Tech or Mar Tech environments.
• Hands-on data engineering, BI, or data platform roles.
• Proven track record of production-grade data solutions.
• Strong ownership and accountability for data quality.
• Comfortable autonomous work in ambiguous environments.

Responsibilities

• Design, build, and maintain end-to-end data pipelines from source systems to analytics-ready datasets.
• Own and improve ETL/ELT workflows and downstream impact.
• Create analytics-ready data models balancing accuracy and usability.
• Establish trusted data assets with clear ownership and definitions.
• Ensure data quality with validation and reconciliation techniques.
• Collaborate with clients, analysts, product teams, and data scientists to translate needs into data and reporting solutions.
• Review and evolve data platforms for performance and reliability.
• Mentor junior engineers at client sites and participate in business development as needed.

Skills

Advanced SQL

Python

Tools

BigQuery

Snowflake

Redshift

ADW

Fivetran

Airflow

Looker/LookML

Tableau

AWS

GCP

Job description

The Product Counsel is seeking a pragmatic Data Scientist to join our data team, working remotely with a preference for candidates in London or Cambridge. You will leverage vast advertising datasets to develop and deploy ML models that drive business impact, collaborating with a data engineer while focusing on modelling, mathematics, and actionable insights.

You’ll own end-to-end data pipelines, improve ETL/ELT workflows, and design analytics-ready data models that scale across platforms,