Data Foundation & Quality Specialist

Daimler Truck Financial Services UK Limited; Milton Keynes; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Hybrid work model (2 days onsite)

Private medical insurance

Pension scheme

26 days annual leave

Wellbeing resources

Training & development

Job summary

Daimler Truck Financial Services UK Limited is hiring a Data Foundation & Quality Specialist to ensure data accuracy across systems and databases. The role focuses on regular data interrogation, validation, cleansing and enrichment to support AI readiness.

You will work with the BI team to provide clean data for KPI tracking and data-driven Kaizen, while implementing preventive data capture and governance under GDPR. Hybrid work from Milton Keynes and a competitive benefits package are offered.

Qualifications

• 2+ years in data management, data quality, or related data function.
• Experience in financial services data a plus, automotive finance preferred.
• Strong SQL, data profiling, validation and cleansing skills.
• Understanding of data structures, pipelines and governance basics.
• Knowledge of GDPR and UK data protection expectations.

Responsibilities

• Perform regular, structured data queries and checks to identify errors and gaps.
• Execute data cleansing, enrichment to keep databases accurate and up-to-date.
• Prepare high-quality datasets to support AI, ML and automation initiatives.
• Propose solutions to prevent incorrect data entries at the source.
• Collaborate with BI to provide reliable data for KPI tracking and insights.
• Develop automated data quality rules and monitoring scripts.
• Investigate root causes and coordinate with system owners for fixes.
• Maintain data quality documentation and validation logic.
• Support data governance and GDPR compliance.

Skills

Data management

Data quality

Data analysis

SQL

Python

Data profiling

KPI tracking

Automation awareness

Attention to detail

Communication

Education

Bachelor's degree in a data-related field

Tools

SQL

Excel/Power Query

Python

Power BI

Job description

Tasks

ABOUT US

As Daimler Truck Financial Services (DTFS), we are one of the largest financial and mobility services companies in the commercial vehicle industry and a fully integrated division of the globally operating Daimler Truck AG. We simplify our customers' business with a variety of tailored financing and service solutions and support them on the path to environmentally friendly, autonomous and safe driving.

DTFS is active in around 16 markets with more than 1,900 employees, with DTFS UK being the subsidiary for the UK market. Our focus is on supporting the sale of Trucks and Buses through the provision of tailored finance packages to customers. Our colleagues and our values-based culture are essential strengths that contribute significantly to our success.

Become part of our team! You make the difference - YOUMAKEUS

As part of our great team here at DTFS, we have an exciting opportunity for a Data Foundation & Quality Specialist (Data Management & AI Readiness), who will be part of enabling our AI journey and the operational excellence transformation.

We’re looking for someone to be responsible for ensuring the accuracy, completeness, consistency and reliability of data across Daimler Truck Financial Services UK systems and databases.

This role is perfect if you’d like to focus on the interrogation and validation of data, as well as proactively propose solutions to prevent incorrect data entries and improve data quality at its origin.

WHAT YOU CAN EXPECT

Working in this role the key purpose will be:

The Data Foundation and Quality Specialist is responsible for ensuring the accuracy, completeness, consistency and reliability of data across Daimler Truck Financial Services UK systems and databases. The role focuses on the regular, algorithm-based interrogation and validation of data, the identification and correction of data anomalies, and the systematic cleansing and enrichment of databases.

In addition, the role proactively proposes solutions to permanently prevent incorrect data entries at source and looks beyond the Financial Services data landscape to upstream source systems to improve data quality at origin.

The role works closely with the Business Intelligence Specialist, providing reliable data to generate business insights, support data-driven process improvements (Kaizen) and enable KPI tracking.

By establishing a high-quality, well-structured and trustworthy data foundation, the role directly enables the successful implementation of the company's Artificial Intelligence (AI) and automation strategies and forms a key building block of the Next Level UK strategy.

You will:

• Perform regular, structured data queries and algorithm-based checks across core databases to identify errors, inconsistencies, duplicates, gaps and outliers.
• Execute systematic data cleansing, correction and enrichment activities to ensure databases are accurate, complete, consistent and up to date.
• Prepare and structure high-quality datasets to support the implementation of AI, machine learning and automation initiatives as part of the Next Level UK strategy.
• Propose sustainable solutions to permanently prevent incorrect data entries at source, applying error-proofing principles (e.g., Poka Yoke), input validation, mandatory fields, drop-down standardisation and system-side controls.
• Look beyond the Financial Services data landscape to upstream source systems and data feeds (e.g., Daimler Truck UK), analyse data quality at origin and make concrete recommendations to improve the quality of source data.
• Work closely with the Business Intelligence Specialist, providing clean, structured and reliable data to generate business insights, support data-driven process improvements (data-based Kaizen) to enable robust KPI tracking and reporting.
• Develop, maintain and run automated data quality rules, validation routines and monitoring scripts to detect and flag data anomalies on an ongoing basis.
• Investigate root causes of recurring data quality issues and coordinate with system owners and business units to implement corrective and preventive measures.
• Maintain data quality documentation, data dictionaries, validation logic and cleansing procedures to ensure transparency, traceability and audit readiness.
• Support data governance and act as a point of contact for data quality topics, applying data standards and compliance requirements (including GDPR) and promoting a culture of data ownership.

This is a newly created role that will play an important part in supporting our transformation journey and the delivery of our DTFS Next Level strategy. As the role and business requirements continue to evolve, the responsibilities and reporting line for this position may change to ensure they remain aligned with the future needs of the business.

WHAT WE OFFER YOU

Alongside the opportunity to work for a great business that is passionate about everything we do, we offer a competitive salary and a discretionary bonus structure. You’ll be able to join our pension scheme, and you’ll also receive a comprehensive benefits package including private medical insurance, 25 days’ annual leave plus public holidays. You’ll also have access to a range of voluntary benefits that you can choose from to suit your lifestyle.

We work flexibly with hybrid working (typically 2 days per week at our work space) and when working onsite you’ll be based at our brand-new offices at Willen Lake, Milton Keynes.

We’re committed to supporting your wellbeing, with access to colleague wellbeing resources including our Employee Assistance Programme and Mental Health First Aiders.

We’re invested in your growth too, providing the training and knowledge you need to reach your potential.

Qualifications

THAT’S WHY YOU ARE A MATCH

You may have all/some of these skills:

• Experience: Ideally 2+ years of experience in data management, data quality, data analysis, database administration or a related operational/back-office data function.
• Industry: Experience within financial services (automotive captive finance or asset finance highly preferred).
• Technical Skills: Strong practical skills in SQL and/or data query tools; experience with data profiling, validation and cleansing techniques and tools (e.g., Excel/Power Query, Python, or comparable).
• Data & Automation: Understanding of data structures, databases and data pipelines; awareness of AI, machine learning and automation concepts and their data requirements.
• Error-Proofing / CI: Familiarity with error-proofing and continuous improvement methods (e.g., Poka Yoke, root cause analysis) to design preventive, mistake-proof data capture.
• Analytical Mindset: Exceptional attention to detail with the ability to work systematically with large and complex data sets and to identify patterns, anomalies and root causes.
• Process Orientation: Ability to design, document and follow structured, repeatable data quality routines and procedures across system boundaries.
• Regulatory Knowledge: Awareness of data protection and governance requirements (e.g., GDPR) and relevant UK financial services expectations.
• BI Collaboration: Experience working with or supporting Business Intelligence / reporting teams, including data provisioning for dashboards, KPI tracking and data-driven continuous improvement (Kaizen).
• Communication: Good interpersonal and communication skills to liaise with technical and business stakeholders across entities and to explain data issues clearly.

You don’t bring everything with you? No problem! We look for skills but hire for attitude!

At Daimler Truck, we promote diversity and stand for an inclusive corporate culture. We value the individual strengths of our employees, because these lead to the best team performance and thus to the success of our company. Inclusion and equal opportunities are important to us. We welcome applications from people of all cultures and genders, parents, people with disabilities and people of any community. If you would like any support or any adjustments please let us know so we can look to support you during your application process and/or in your employment with us.