Summary: Excellent opportunity for an experienced Data Engineer (SAS) to join a top-rated bank in a long-term, ongoing contract. The role involves extensive quantitative analysis and collaboration with various teams to enhance data quality and management. The candidate will be responsible for documenting data lineage, resolving data quality issues, and supporting the development of trusted data sources. Strong technical skills in data analysis and visualization are essential for success in this position.

Key Responsibilities:

• Undertake quantitative analysis using SQL, Excel, SAS, Python to source, analyse, normalise and process data across multiple data sets.
• Contribute to the development and maintenance of the metadata management system and data dictionaries.
• Document source to target technical data lineage and data quality controls along the data flow for reports and business outputs.
• Analyse data quality root causes and partner with business and technology teams to remediate data quality issues.
• Build data outcomes using technical data profiling, mining, score carding.
• Conduct data analysis to study, analyse and interpret large volumes of transactional data.
• Interpret data flows and models to understand lineage gaps and resolve missing data quality controls.
• Apply best practice data quality and metadata management principles to resolve data quality issues.
• Support the development of trusted sources for critical data, collaborating with stakeholders to define requirements.
• Apply technical thinking to analyse complex data sets and extract meaningful insights.
• Demonstrate detailed scrutiny of technical and business data flows and transformations.
• Lead data management activities to implement data frameworks and establish data controls.
• Lead data quality initiatives that provide tangible efficiencies and/or business value.
• Manage data quality, master data, and reference data.
• Working knowledge of statutory frameworks such as CCPA, GDPR, BCBS and Data Protection Act.
• Create positive relationships and communicate with a range of stakeholders.
• Demonstrate problem-solving skills related to data profiling analysis, score carding and error detection.
• Experience using data visualisation tools such as Power BI, Tableau, Qlikview.

Key Skills:

• Experience with SQL, Excel, SAS, Python.
• Data analysis and data profiling skills.
• Knowledge of metadata management and data quality principles.
• Experience with data visualisation tools (Power BI, Tableau, Qlikview).
• Strong problem-solving skills.
• Ability to communicate effectively with stakeholders.
• Understanding of statutory frameworks (CCPA, GDPR, BCBS, Data Protection Act).
• Experience in leading data management and quality initiatives.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other