Data Quality & Foundation Specialist - AI Readiness

Daimler Truck UK; Milton Keynes; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Private medical insurance

25 days’ annual leave

Pension scheme

Job summary

Daimler Truck UK Ltd. seeks a Data Foundation & Quality Specialist to ensure data accuracy, completeness and reliability across DTFS UK systems. You will interrogate data, identify anomalies, and drive data quality at origin, collaborating with BI and AI initiatives within the Next Level UK strategy.

You will work to prevent data entry errors, enrich datasets for AI readiness, and support governance and KPI tracking across financial services data landscapes.

Qualifications

• 2+ years experience in data management, data quality, data analysis or related operational/back-office data function.
• Experience in financial services (automotive finance preferred).
• Strong SQL and data profiling/cleansing skills; Python or similar tools helpful.

Responsibilities

• Perform regular data queries and algorithm-based checks across core databases to identify errors and inconsistencies.
• Execute data cleansing, enrichment and corrections to maintain accurate data.
• Prepare high-quality datasets to support AI, ML and automation initiatives.
• Propose preventive measures to avoid incorrect data entries at source (Poka Yoke, validation, mandatory fields).
• Collaborate with BI teams to provide clean data for KPI tracking and insights.
• Develop automated data quality rules and monitoring scripts.
• Maintain data quality documentation and data dictionaries for audit readiness.

Skills

SQL

Data quality

Data analysis

Python

Data governance

Kaizen

Stakeholder comm.

Tools

Excel/Power Query

Job description

Daimler Truck UK Ltd. seeks a Data Foundation & Quality Specialist to ensure data accuracy, completeness and reliability across DTFS UK systems. You will interrogate data, identify anomalies, and drive data quality at origin, collaborating with BI and AI initiatives within the Next Level UK strategy.

You will work to prevent data entry errors, enrich datasets for AI readiness, and support governance and KPI tracking across financial services data landscapes.