Senior Data Engineer, Snowflake

AND Digital

. Architect, build, and deploy modern data pipelines in Snowflake, dbt, and Dagster .

Posted 10/9/2026contractBristol • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying modern data pipelines using Snowflake, dbt, and Dagster, while ensuring data security and quality through automated testing and role-based access controls. Proficient in advanced SQL and Python, with a strong background in machine learning model development and data transformation frameworks.

Highest-signal resume keywords

Snowflake Data Pipeline ArchitectureAdvanced SQL EngineeringPython ProgrammingData Transformation FrameworksMachine Learning Model Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline ArchitectureSQLPythonData TransformationMachine LearningAutomated TestingData Security StandardsVersion ControlCI/CD PracticesRole-Based Access Control

Soft Skills

CollaborationProblem-SolvingAgile Methodologies

Tools & Technologies

DbtDagsterCloud Data Warehouse

Industry Keywords

Data EngineeringMartechData GovernanceData Modeling

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Architect, build, and deploy modern data pipelines in Snowflake, dbt, and Dagster
Design and implement automated, modular transformation pipelines in a modern cloud data warehouse
Apply clean, tiered physical data architecture from raw ingestion to governed marts
Design scalable data models and machine learning models
Implement enterprise-grade data security standards, automated quality testing, RBAC, and dynamic data masking for sensitive customer information
Guide engineering best practices across CI/CD, version control, and automated orchestration
Collaborate with product managers, analytics leads, and platform architects

Requirements

What you’ll need

Experienced Lead / Senior Data Engineer
Proven expertise architecting and operating data solutions within enterprise cloud data warehouses
Advanced SQL and Python engineering skills
Deep experience with modern data transformation frameworks and workflow DAG orchestrators
Demonstrated track record modeling in dbt
Hands-on experience establishing automated unit/integration test suites, lineage tracking, and role-based privacy controls
Experience working in fast-paced sprint cadences and breaking down complex epics into clear, shippable increments
Experience with machine learning model development lifecycle within Snowflake
Martech experience highly desirable

Benefits

Comp & perks

25 days bookable holiday + flexible Bank Holidays
Pension: 6% of salary paid by AND Digital with a further 2% paid by you (can be increased by choice)
Aviva healthcare cover (including pre-existing condition cover) for you
Flexibenefit: £1000 assigned via benefits portal to select or upgrade benefits; unused allowance can be taken as cash
Life Assurance
Income Protection
Eye test + first pair of glasses
Generous Enhanced Maternity and Enhanced Partner (Paternity) Leave