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, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement.
- Why this job: Be at the forefront of data technology and make a real impact.
- Qualifications: 7 years in data engineering with strong SQL and dbt skills.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a talented and experienced Data Warehouse Modeler and Engineer DBT Snowflake to join the Data Solutions domain in EMEA. As a key contributor, you will be responsible for designing and implementing end-to-end data integration and transformation solutions on Snowflake. This role combines ETL/ELT design, data mapping, data modeling, and hands-on data engineering using dbt.
Key Responsibilities:
- Design and implement ETL/ELT pipelines for data ingestion, transformation, and consolidation.
- Perform data mapping from source systems to target Snowflake structures.
- Design and maintain conceptual, logical, and physical data models, staging, and integration marts.
- Develop, test, and maintain dbt models following best practices.
- Optimize Snowflake performance, query design, materializations, and clustering.
- Ensure data quality, consistency, lineage, and documentation.
- Collaborate with engineering, analytics, and platform teams to align on data patterns and standards.
Technical Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
- 7 years of experience in a similar role within a fast-paced, enterprise-scale environment.
- Strong proficiency in SQL and hands-on experience with DBT Core or Cloud or any other traditional ETL Tools (ODI, Informatica, Talend, SSIS, etc.).
- Snowflake data engineering, SQL data modeling, Kimball, Inmon, Data Vault concepts, ETL/ELT design, and data mapping.
- Data quality governance and performance optimization.
- A solid understanding of end-to-end data ingestion and transformation processes.
- AWS data stack (S3, Glue, EMR, PySpark, Iceberg - nice to have).
Non-Technical Skills:
- Demonstrated commitment, ownership, and accountability.
- Strong attention to detail with a proactive approach to identifying and resolving problems.
- A genuine interest in emerging data technologies and a curiosity about continuous improvements.
- Excellent verbal and written communication skills.
AI Empowered Experience.
Data Warehouse Modeler in Basildon employer: LinkedIn
Join a forward-thinking company that values innovation and collaboration, where as a Data Warehouse Modeler, you will play a pivotal role in shaping data solutions within the EMEA region. Our inclusive work culture fosters continuous learning and professional growth, offering you the chance to work with cutting-edge technologies like Snowflake and DBT, while enjoying a supportive environment that prioritises employee well-being and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Warehouse Modeler in Basildon
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ETL/ELT projects, especially those involving Snowflake and dbt. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling questions and Snowflake-specific scenarios. Practising your answers will help you feel more confident and ready to impress during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Warehouse Modelers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Warehouse Modeler in Basildon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Warehouse Modeler role. Highlight your experience with Snowflake, DBT, and any relevant ETL/ELT projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool data projects, don’t hesitate to mention them! Whether it's a personal project or something from your previous job, showcasing your hands-on experience with data mapping and modelling can really set you apart.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at LinkedIn
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and how it integrates with ETL/ELT processes. Be ready to discuss specific projects where you've used Snowflake and how you optimised performance.
✨Show Off Your SQL Skills
Since strong SQL proficiency is a must-have, prepare to demonstrate your skills. You might be asked to solve a problem or write a query on the spot. Practise common SQL scenarios and be ready to explain your thought process as you work through them.
✨Talk Data Modelling Like a Pro
Familiarise yourself with data modelling concepts like Kimball, Inmon, and Data Vault. Be prepared to discuss how you've applied these methodologies in past roles. Bring examples of your conceptual, logical, and physical data models to showcase your experience.
✨Emphasise Collaboration and Communication
This role requires working closely with various teams, so highlight your teamwork and communication skills. Share examples of how you've collaborated with engineering, analytics, or platform teams to align on data standards and patterns. Show that you're not just a tech whiz but also a great team player.
