At a Glance
- Tasks: Design and implement data integration solutions using Snowflake and dbt.
- Company: Join a leading tech company in the EMEA region focused on data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and continuous improvement.
- Why this job: Be at the forefront of data technology and make a real impact on data transformation.
- Qualifications: Degree in Computer Science or related field with hands-on experience in data engineering.
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 modelling, and hands-on data engineering using dbt.
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, integration marts.
- Develop, test, and maintain dbt models following best practices.
- Optimize Snowflake performance, query design, materializations, clustering.
- Ensure data quality, consistency, lineage, and documentation.
- Collaborate with engineering, analytics, and platform teams to align on data patterns and standards.
Qualifications
- Bachelors or Master’s degree in Computer Science, Data Engineering, or a related technical field.
- Hands-on years of experience in a similar role within a fast-paced enterprise scale environment.
Required Skills
- 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 modelling, 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).
Preferred 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.
Data Modeler in Basildon employer: Thrive IT Systems
Join a forward-thinking company that values innovation and collaboration, where as a Data Modeler, you will play a pivotal role in shaping data solutions within the dynamic EMEA region. Our inclusive work culture fosters professional growth through continuous learning opportunities and encourages employees to take ownership of their projects. With competitive benefits and a commitment to employee well-being, we provide a rewarding environment for those looking to make a meaningful impact in the field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler in Basildon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This gives potential employers a taste of what you can do, especially with tools like dbt and Snowflake.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling questions and scenarios. Practice explaining your thought process when designing ETL pipelines or optimising queries.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who are eager to join our team and contribute to exciting data solutions.
We think you need these skills to ace Data Modeler in Basildon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Modeler role. Highlight your experience with SQL, DBT, and Snowflake, and don’t forget to mention any relevant projects that showcase your skills in data modelling and ETL/ELT design.
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 aligns with our needs. Be sure to mention specific experiences that demonstrate your expertise in data integration and transformation.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love candidates who can think critically and proactively resolve issues, so share any stories that highlight your attention to detail and commitment to quality.
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Thrive IT Systems
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your knowledge of data modelling concepts like Kimball and Inmon. Be ready to discuss how you've applied these in past projects, especially with Snowflake and dbt. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your ETL/E LT Skills
Prepare to talk about your experience designing ETL/E LT pipelines. Have specific examples ready where you’ve successfully implemented data ingestion and transformation solutions. Highlight any challenges you faced and how you overcame them, as this demonstrates problem-solving skills.
✨Emphasise Collaboration
Since this role involves working with various teams, be prepared to discuss how you’ve collaborated with engineering, analytics, and platform teams in the past. Share examples of how you aligned on data patterns and standards, as teamwork is key in this position.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data quality governance or how they optimise Snowflake performance. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
