Data Foundation & Quality Specialist

Daimler Truck
Milton Keynes
Workplace: HybridFull timeFunction: Quality & Regulatory (Non-Software)Experience: 2+ yearsSkills: ["Attention to detail","Analytical mindset","Communication","Process orientation","Stakeholder collaboration"]

Ensure the accuracy, completeness, consistency, and reliability of data across Daimler Truck Financial Services UK systems and databases. Run regular, algorithm-based data checks to detect errors, duplicates, gaps, and outliers, then cleanse, correct, and enrich datasets. Build and automate data quality rules and monitoring, investigate root causes, and collaborate with Business Intelligence to enable KPI tracking, Kaizen improvements, and AI readiness through GDPR-aligned data governance.

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Daimler Truck
Daimler Truck
3 days ago

Data Foundation & Quality Specialist

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Last checked: 8 hours agoStatus: Live

Job Summary

Ensure the accuracy, completeness, consistency, and reliability of data across Daimler Truck Financial Services UK systems and databases. Run regular, algorithm-based data checks to detect errors, duplicates, gaps, and outliers, then cleanse, correct, and enrich datasets. Build and automate data quality rules and monitoring, investigate root causes, and collaborate with Business Intelligence to enable KPI tracking, Kaizen improvements, and AI readiness through GDPR-aligned data governance.
Location: Milton Keynes
Workplace: Hybrid
Employment Type: Full time
Job Function: Quality & Regulatory (Non-Software)
Seniority: Mid level

Key Responsibilities

  • •Perform regular structured data queries and algorithm-based checks across core databases to identify errors, inconsistencies, duplicates, gaps, and outliers.
  • •Execute data cleansing, correction, and enrichment to keep databases accurate, complete, consistent, and up to date.
  • •Prepare and structure high-quality datasets to support AI, machine learning, and automation initiatives.
  • •Design and run automated data quality rules, validation routines, and monitoring scripts to detect and flag anomalies.
  • •Investigate root causes of recurring data quality issues and coordinate with system owners/business units on corrective and preventive measures.

Pay and Benefits

Perks:Health InsurancePensionPaid Leave

Key Requirements

  • •2+ years of experience in data management, data quality, data analysis, database administration, or related operational/back-office data work.
  • •Industry experience in financial services, with automotive captive finance or asset finance preferred.
  • •Strong practical skills in SQL and/or data query tools, plus data profiling/validation/cleansing experience.
  • •Understanding of data structures, databases, and data pipelines, including AI/ML/automation data needs.
  • •Familiarity with error-proofing and continuous improvement methods (e.g., Poka Yoke) and root cause analysis; knowledge of GDPR/data governance expectations.
Experience:2+ yearsFinancial servicesAutomotive financeAsset finance
Skills:Attention to detailAnalytical mindsetCommunicationProcess orientationStakeholder collaboration
Tech Stack:SQLPythonExcelPower QueryGDPR

Company Brief

Daimler Truck
Designs, manufactures and sells commercial vehicles including trucks, buses and related services. Focuses on global transportation solutions, powertrains, electrification and digital services for freight and passenger mobility across multiple regions.
Industry: Automotive
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Leinfelden-Echterdingen, Germany
Founded: 2021
WebsiteLinkedIn