Data Warehouse Modeler/Engineer

Randstad; Basildon; On-site; GBP 70,000 - 110,000; Full time

Job summary

Randstad is seeking a seasoned Data Warehouse Modeler/Engineer to design and implement end-to-end data integration and transformation solutions on Snowflake. This role blends ETL/ELT, data modeling, data mapping, and hands-on dbt development.

You will architect pipelines, map data sources to Snowflake structures, and optimize performance while ensuring data quality and governance across the domain. Strong SQL and dbt experience are essential, with exposure to AWS data services valued.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
• 7+ years of experience in data engineering or modeling within a fast-paced, enterprise-scale environment.
• Strong mastery of SQL alongside practical experience with dbt (Core/Cloud) or traditional ETL tools (Informatica, Talend, ODI, SSIS, etc.).

Responsibilities

• Architect and build ETL/ELT pipelines to support data ingestion, transformation, and consolidation.
• Map source system data into target Snowflake structures effectively.
• Design and maintain conceptual, logical, and physical data models (covering staging, integration layers, and data marts).
• Develop, test, and manage production-ready dbt models adhering to industry best practices.
• Fine-tune Snowflake performance through efficient query design, materialization strategies, and clustering.
• Uphold high standards of data quality, consistency, data lineage, and documentation.
• Partner with analytics, engineering, and platform teams to establish and align on data standards.

Skills

SQL

dbt

Snowflake

ETL/ELT

Data Modeling

Data Quality

Data Governance

AWS Data Services

Data Warehousing

Kimball/Inmon/Data Vault

Education

Bachelor's or Master's degree in Computer Science or Data Engineering

Tools

TOAD Data Modeler

dbt Core/Cloud

Informatica

Talend

ODI

SSIS

Job description

Role: Data Warehouse Modeler/Engineer
Location Mode: On-site 5 days a week (Basildon or Dublin)
Employment Type: Full-Time Employement (FTE)

Job Overview

We are seeking a highly skilled Data Warehouse Modeler & Engineer (dbt & Snowflake) to join our EMEA Data Solutions domain. In this role, you will be key to designing and implementing robust, end-to-end data integration and transformation solutions on Snowflake. This position blends ETL/ELT architecture, data modeling, data mapping, and hands-on dbt development.

Key Responsibilities

• Architect and build ETL/ELT pipelines to support data ingestion, transformation, and consolidation.
• Map source system data into target Snowflake structures effectively.
• Design and maintain conceptual, logical, and physical data models (covering staging, integration layers, and data marts).
• Develop, test, and manage production-ready dbt models adhering to industry best practices.
• Fine-tune Snowflake performance through efficient query design, materialization strategies, and clustering.
• Uphold high standards of data quality, consistency, data lineage, and documentation.
• Partner with analytics, engineering, and platform teams to establish and align on data standards.

Technical Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
• 7+ years of experience in data engineering or modeling within a fast-paced, enterprise-scale environment.
• Strong mastery of SQL alongside practical experience with dbt (Core/Cloud) or traditional ETL tools (Informatica, Talend, ODI, SSIS, etc.).
• Hands-on expertise in Snowflake data engineering.
• Solid background in SQL-based data modeling methodologies (Kimball, Inmon, Data Vault) and full ETL/ELT pipeline design.
• Deep comprehension of modern end-to-end data ingestion and transformation patterns.
• Proficiency in data quality assurance, data governance, and query optimization.
• Nice to have: Familiarity with the AWS data ecosystem (S3, Glue, EMR/PySpark, Apache Iceberg).

Non-Technical Skills & Competencies

• Proven sense of ownership, commitment, and personal accountability.
• Meticulous attention to detail with a proactive problem-solving mindset.
• Keen interest in novel data technologies and continuous innovation.
• Clear, effective verbal and written communication abilities.
• Experience leveraging AI-powered tools and workflows.

Skills Breakdown

Mandatory Skills: TOAD Data Modeler
Good to Have Skills: Data Modeling