Data Modeller

Smartedge Solutions; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology firm is seeking a Data Modeler to enhance their data practices. In this role, you will design and implement data models, ensuring governance and oversight for complex data environments. Candidates should have solid experience with data modeling tools and AWS services, as well as effective communication skills to collaborate with both technical and business teams.

Qualifications

• Experience in Snowflake, DBT, Glue, Airflow.
• Strong understanding of SQL and data modeling.
• Good communication skills for business and technical teams.

Responsibilities

• Engage with data professionals to improve data modeling.
• Oversee data models for governance and standards compliance.
• Build conceptual and logical data models.

Skills

Snowflake

DBT

Glue

Airflow

AWS Services

SQL

Data Modeling

Communication

Stakeholder Management

Problem Solving

Job description

Direct message the job poster from Smartedge Solutions

Team Lead Information Technology Associate at Smartedge Solutions

The Role:

As a Data Modeler, you will be responsible for designing and implementing data models to support complex data environments.

Your responsibilities:

• Engage with other data modelers, data architects and data professionals to continually improve the data modelling landscape.
• Governance and oversight of data models ensuring they conform to agreed principles and standards.
• Supporting the delivery of change activity and ensuring that Business Domain Models meet the business needs.
• Nurturing a data culture and promoting data model usage.
• Assisting with implementing data models into the change and governance frameworks.
• Building conceptual and logical data models that accurately represent data relationships.
• Working with both technical and business teams to elicit requirements and understand the business.

Your Profile:

Essential skills/knowledge/experience:

• Experience in Snowflake, DBT, Glue, Airflow.
• Experience with AWS Services.
• Good communication and stakeholder management skills.
• Ability to communicate with both business and technical colleagues at all levels.
• Knowledge of SQL and Data Modeling.
• Ability to learn and adapt quickly.
• Ability to work independently and as a part of a team.
• Adept problem solver with a flair for logical and lateral thinking.
• Experience of conceptual and logical data modelling.
• Knowledge of Domain Driven Design (DDD) and DAMA.
• Experience with data analytics, APIs, databases, and related technologies.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Design, and Production

• Industries

  IT Services and IT Consulting, Information Services, and Data Infrastructure and Analytics

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