Data Steward

Arrow Global Group; Manchester; On-site; GBP 45,000 - 65,000; Full time

Job summary

Arrow Global Group is seeking a skilled Data Steward to join our IT & Change team in Manchester. You will document data lineage from source to target, help establish standards, ownership, and trust in our data assets, and act as a bridge between business and technical teams.

You will maintain the Data Catalog, define data quality rules, work with Data Engineering, and support data governance across the group as a subject‑matter expert for key datasets.

Qualifications

• Degree in Computer Science, Information Systems, Data Science, or related field.
• Proven experience in a Data Governance or Data Management program.
• Familiarity with data privacy regulations (GDPR, CCPA).
• Background in financial data domains (IBOR/ABOR, transactions, market data, reference data).
• Strong analytical, verbal, and written communication skills.
• Proficiency in SQL is a must; Python is a plus.

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

Skills

SQL

Python

Analytical thinking

Communication skills

Education

Degree in Computer Science or related field

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.

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: Manchester, UK

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