At a Glance
- Tasks: Design and implement data integration solutions using Snowflake and dbt.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Be at the forefront of data engineering and make a real impact.
- Qualifications: 7+ years in data engineering with strong SQL and dbt skills.
The predicted salary is between 63000 - 77000 £ per year.
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/Py Spark, 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
Data Warehouse Modeler/Engineer in Essex employer: Randstad Technologies Recruitment
Join a dynamic team in Newcastle where your contributions as a Customer Service Representative will be valued and recognised. We pride ourselves on fostering a collaborative work culture that prioritises employee growth, offering training and development opportunities to enhance your skills. With a focus on delivering exceptional customer service, you'll enjoy a supportive environment that encourages teamwork and innovation, making it an excellent place for meaningful and rewarding employment.
Contact Details:
Randstad Technologies Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Warehouse Modeler/Engineer in Essex
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We think you need these skills to ace Data Warehouse Modeler/Engineer in Essex
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