Data Modeller

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SeniorHybryda·Stockholm Metropolitan AreaFull-time

#475666·Dodano wczoraj·1

Źródło: justjoin.it

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Tech Stack / Keywords

Data modelingSQLData Warehouse (DW)PythonData IntegrationCloudMicrosoft PlatformGovernanceComposer (PHP)Copywriting (content)

Podsumowanie oferty

Design and implement enterprise data models for a modern, audit-ready Finance & Risk data warehouse for a banking client. Work as part of the FR360 Data Platform team, using SQL, Google Cloud Platform, and related data tools to support reporting, regulatory requirements, and data governance.

Wymagania

Deep expertise in data modelling and enterprise data warehouse design.
Hands-on experience delivering data models from requirements gathering and source analysis through conceptual and logical modelling to physical design and production implementation.
Experience working with scalable data platforms that integrate large numbers of heterogeneous source systems.
Ability to balance business requirements, regulatory expectations, and long-term maintainability.
Strong communication and collaboration skills, including the ability to translate complex requirements into practical data solutions covering data structures, semantics, keys, and data quality.
Strong SQL and Python skills.

Nice to have:

Experience in banking, finance, or another regulated industry.
Hands-on experience with Data Vault 2.0 modelling principles and implementation.
Hands-on experience building and maintaining ELT pipelines and data integration solutions.
Familiarity with GCP services and tools such as BigQuery, Cloud Composer, Apache Airflow, Dataform, and dbt, or comparable cloud data platforms.
Knowledge of data governance, regulatory reporting, or frameworks such as BCBS 239.

Obowiązki

Take accountability for implementing and maintaining physical data models in the target data platform.
Use SQL and other analytical techniques to examine source data structures, content, relationships, keys, grain, and data quality.
Design scalable, maintainable target data models based on Data Vault 2.0 principles and methodologies.
Define and promote standards for historical data management, auditability, lineage, metadata management, and data quality.
Build and optimize ELT processes using Google Cloud Platform, including BigQuery, Cloud Composer, dbt, and Dataform.
Drive data modelling and warehouse design best practices across the team.
Share responsibility for the team’s day-to-day data engineering work, taking a leading role in data modelling and data governance.

Inne informacje

Start date: 2026-11-23.
End date: 2027-04-30.

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