At a Glance
- Tasks: Design and develop data models for AWS Cloud Data Warehouse using Snowflake and Redshift.
- Company: Join a forward-thinking company with a hybrid working model.
- Benefits: Competitive daily rate, flexible work environment, and opportunities for skill enhancement.
- Other info: Collaborative team culture with a focus on Agile methodologies.
- Why this job: Be at the forefront of data innovation and solve real-world problems.
- Qualifications: Experience in data modelling and strong analytical skills required.
The predicted salary is between 60000 - 80000 Β£ per year.
Contract: 6 months - Hybrid working
Rate: 375pd Inside IR35
Experience working as Data Modeler for AWS Cloud Data Warehouse.
Key Skills required:
- Data Modeling Experience on Data Warehouse Snowflake, Redshift, Apache Flink and Apache Kafka.
- Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives.
- Understand project requirements and translate them into technical solutions which meet the project quality standards.
- Ability to work in a team in a diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.
- Strong problem solving and good analytical skills.
- Excellent verbal and written communication skills.
- Experience and desire to work in a global delivery environment.
- Stay up to date with new technologies and industry trends in development.
Data Modeller employer: Third Nexus Group Limited
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in Northampton. As a Data Modeller, you'll benefit from hybrid working arrangements, competitive rates, and opportunities for professional growth within a diverse team. Our commitment to staying at the forefront of technology ensures that you will be engaged in meaningful projects that challenge your skills and expand your expertise.
We think you need these skills to ace Data Modeller
SQL
Python
Communication Skills
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering