Data Modeller

The Data modeler designs computer databases and data models used to turn complex organizational data into usable computer systems. They use relational, dimensional, and NoSQL databases to manage the flow of information between departments in an organization. Data Modelers use their understanding of data flows to propose innovative data solutions to help the organization achieve its end goals in all areas of operation, including product lifecycle and customer experience

What you will Do:

As a data modeler, your responsibilities will include:

• Analyzing and translating business needs to create solution data models

• Evaluating current data systems

• Working with data analysts, data architects, engineers and database administrators to design conceptual data models and data flows

• Developing ideal data coding practices to ensure consistency within the system.

• Evaluating changes to existing systems for cross-compatibility.

• Implementing data strategies and creating physical data models

• Updating and improving local and metadata models

• Assessing implemented data systems to look for variances, discrepancies, and efficiency

• Troubleshooting and optimizing data systems

• Technical skills:

• Digital logic: it is important to possess this skill to clean and organize an unstructured set of data.

• Computer architecture and organization: A solid understanding of computer architecture and organization will enable you to maximize efficiency when working with data.

• Data representation: This allows for easier gathering, manipulation, and analysis of data, which can save valuable time and money.

• Memory architecture: The most important part of memory architecture is being able to find the method that best combines speed, durability, reliability, and cost-effectiveness while not compromising the integrity of the data.

• Familiarity with Erwin modeling tool.

• Adapt to new modeling methods.

• SQL language and its implementation.

• Sufficient experience using database systems: Relational Database Management Systems (RDBMS) that possess big data handling capabilities, such as the ability to quickly store and fetch data.

What we are looking for:

• Bachelor's or master’s degree in computer science, Information Technology, or a related field.

• Demonstrated expertise in working with DataBricks for data processing and analysis.

• Experience in implementing and optimizing data solutions using multiple programming languages in an Azure environment.

• People Management experience is essential.

• 7-10 years experience in Data Engineering of hands-on experience in developing data pipelines and managing data infrastructure within Azure.

• Python and SQL experience required

• Experience in end-to-end Data Product deployment

What we are Not Looking for:

❌ Concept‑Only Thinkers
Profiles that excel in ideation but fall short on execution—where models remain in notebooks and slides rather than being engineered, deployed, and measured in the real world.

❌ Opaque Problem Solvers
Approaches that prioritize complexity over clarity, with limited focus on explainability, governance, or confidence in decision‑making outcomes.

❌ Isolated Specialists
Individuals who operate in silos and lack the inclination to co‑create with product, engineering, and business partners to drive end‑to‑end impact.

❌ Comfort‑Zone Practitioners
Skillsets rooted in legacy methodologies, with minimal appetite for evolving alongside modern cloud architectures, MLOps maturity, and GenAI‑driven innovation.

What’s In It for You.

• Pay for performance culture (Competitive and performance-linked compensation)
• Diverse workforce and inclusive culture
• Career development and growth opportunities by design
• Work with the best minds in the field
• Get opportunities to bring your whole self to the organization and perform to your best.