Join Us and Build a Cutting-Edge Data Platform!
As a Data Modeller, you will be working for our client in the debt collection sector, helping to build and maintain a robust, cloud-native data platform. The role focuses heavily on data modelling, requiring an expert who can translate conceptual business needs into logical and physical data models, build data contracts, and implement scalable ELT pipelines using Azure Databricks.
Your main responsibilities:
Design and maintain logical and physical data models based on DDD (Domain-Driven Design) principles
Translate conceptual models and business glossaries into technical data structures for the Data Warehouse
Perform data mapping and create data contracts between the Data Platform and source systems
Collaborate with source system owners to define data contract requirements
Work on data ingestion processes from source systems using various methods: Direct database queries (bulk read/CDC), API communication, Event streaming
Implement ELT processes across Bronze, Silver, and Gold layers in Azure Databricks
Ensure alignment of data models with business and analytical requirements
You're ideal for this role if you have:
Strong experience in Data Modelling (logical & physical), preferably in DDD-based environments
Proven ability to work with Data Governance inputs: glossaries, conceptual models, HLD/LLD documentation
Experience preparing and maintaining data contracts
Solid knowledge of data ingestion techniques and working with source systems
Experience with Azure Databricks (or similar cloud platforms like GCP)
Ability to develop and maintain ELT pipelines in cloud-native environments
Nice to have:
Experience in writing clear technical documentation (e.g. data contracts, field definitions, extraction rules)
Background in mapping source data to target DWH structures
Ability to interpret and work with ERDs and relational models
Knowledge of master data management practices
Familiarity with dbdiagram.io
Awareness of Data Quality, Data Lineage, and metadata management concepts
Experience using tools like Azure Purview or other metadata management platforms
Net per day - B2B
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