Analytics Engineer - Hybrid London Data Platform & Insights

Xcede; Greater London; Hybrid; GBP 50,000 - 61,000; Full time

Benefits offered by this job

Bonus

Job summary

Xcede is expanding its Analytics Engineering team in London. The role sits at the intersection of data engineering and analytics, building scalable data pipelines and reliable models to support reporting, experimentation and decision-making.

You’ll translate business requirements into accessible data products and collaborate across Product, Marketing, Engineering, BI and Data Science. We value strong SQL and dbt experience, a good cloud warehouse background, and a passion for data quality and

Qualifications

• Strong SQL writing and optimisation skills.
• Commercial experience using dbt to build/maintain pipelines.
• Experience with Snowflake or another modern cloud warehouse (BigQuery).
• Experience building data models for analytics and reporting.
• Familiarity with Python for automation/ETL tasks.
• Interest in improving data quality, reliability and performance.
• Strong problem-solving abilities and collaboration.
• Clear communication translating business needs into technical solutions.

Responsibilities

• Build, optimise and maintain data transformation pipelines with dbt and Snowflake.
• Design reusable data models for trusted reporting and analysis.
• Improve Snowflake performance, security and cost efficiency.
• Develop automated data quality tests, monitoring and alerts.
• Collaborate with Product, Marketing, BI, Engineering and Data Science to deliver data products.
• Maintain clear documentation and promote analytics best practices.
• Contribute to platform improvements including orchestration tools like Dagster.
• Ensure data products remain reliable as requirements evolve.

Skills

SQL

dbt

Snowflake/BigQuery

Data modeling

Python

Data quality

Problem solving

Communication

Tools

dbt

Snowflake

BigQuery

Python

Tableau

Dagster

Job description

Xcede is expanding its Analytics Engineering team in London. The role sits at the intersection of data engineering and analytics, building scalable data pipelines and reliable models to support reporting, experimentation and decision-making.

You’ll translate business requirements into accessible data products and collaborate across Product, Marketing, Engineering, BI and Data Science. We value strong SQL and dbt experience, a good cloud warehouse background, and a passion for data quality and