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Arrow Global Group

Portugal / Global

Data Steward

Job Description

Description

We are seeking highly skilled and experienced Data Stewards to join a newly formed group concentrating on Data. The primary focus of the role will be to serve as a 'good steward' of the data by documenting the journey of it from source to target and all transformations in between. The Data Steward will act as a bridge between the business and the technical team, helping to establish standards, ownership, and trust in our data assets. Ultimately, this is a key role that helps us manage and exploit data as an asset.

Department: IT & Change

Location: Portugal

Description

We are seeking highly skilled and experienced Data Stewards to join a newly formed group concentrating on Data. The primary focus of the role will be to serve as a 'good steward' of the data by documenting the journey of it from source to target and all transformations in between. The Data Steward will act as a bridge between the business and the technical team, helping to establish standards, ownership, and trust in our data assets. Ultimately, this is a key role that helps us manage and exploit data as an asset.

Key Responsibilities

Complete and maintain the group's Data Catalog

Document data lineage, transformations and cleansing rules

Work with Data Engineering to ensure data is handled correctly

Help define effective Data Quality rules for the data they deal with

Work with the Business and Data Engineers to help bottom out issues with the data

Help drive root cause remediation of data issues at the platform/source

Above all, the Data Steward is expected to serve as a subject-matter expert in the datasets they deal with and serve as the point of contact for them within the team

About You

Degree in Computer Science, Information Systems, Data Science, or a related field is preferable

Proven experience in a Data Governance or Data Management program

Familiarity with data privacy regulations (GDPR, CCPA)

A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)

Strong experience within Real Estate, Credit, Banking, or NPL Asset Management

Resourceful, motivated self-starter with the ability to collaborate across business and technology

Strong analytical, verbal, and written communication skills

Ability to acquire a deep understanding of specific datasets and how they flow

Comfortable working in a fast-paced, evolving environment where processes are still being defined

Proficiency in SQL is a must. Proficiency in Python is a plus

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