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 Basildon employer: Randstad
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StudySmarter Expert Advice🤫
We think this is how you could land Data Warehouse Modeler/Engineer in Basildon
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We think you need these skills to ace Data Warehouse Modeler/Engineer in Basildon
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Randstad, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Randstad. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Randstad
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Randstad!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
