Daimler Trucks North America LLC
Milton Keynes, Buckinghamshire
Mercedes-Benz Financial Services in the United Kingdom is seeking a Retail Credit Quality Assurance Specialist to independently review underwriting decisions for QA compliance, aligned with FCA CONC requirements and internal policies. You will document outcomes, provide feedback, and support training and process improvements. The role emphasizes risk-based QA sampling, root cause analysis, and collaboration with underwriting teams to drive consistent, fair customer outcomes.
04/08/2026
Full time
Mercedes-Benz Financial Services in the United Kingdom is seeking a Retail Credit Quality Assurance Specialist to independently review underwriting decisions for QA compliance, aligned with FCA CONC requirements and internal policies. You will document outcomes, provide feedback, and support training and process improvements. The role emphasizes risk-based QA sampling, root cause analysis, and collaboration with underwriting teams to drive consistent, fair customer outcomes.
Daimler Trucks North America LLC
Milton Keynes, Buckinghamshire
Job Description - Retail Credit Quality Assurance Specialist (MER00046QH) Retail Credit Quality Assurance Specialist Group : Mercedes-Benz Group AG Description Job Title: Retail Credit Quality Assurance Specialist Closing Date: 12 August 2026 About us AtMercedes-Benz Financial Services, our employees are at the heart of our business. Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers. It doesn't matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you. Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues. We ensure that everyone has an equal opportunity to learn and develop. We want to celebrate your individuality, embrace your personality and welcome you into our culture. It's the differences of our colleagues that enable us to thrive. We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience. Inclusion is the driving force behind our ethos. At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace. We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it. How you'll play your part In this role, you will independently review retail credit underwriting decisions to ensure that they are made in line with internal credit procedures, delegated authority frameworks and applicable regulatory requirements, including FCA CONC obligations, supporting the delivery of consistent, fair and compliant customer outcomes. Main Accountabilities Reporting into the Quality Assurance Manager, you will conduct daily, timely and structured reviews of retail credit underwriting decisions using a defined Quality Assurance (QA) framework and methodology. Assess whether decisions are consistent with internal credit policies and procedures, delegated authority limits and approval frameworks and FCA CONC requirements relating to creditworthiness, affordability and responsible lending. Ensure evidence supporting decisions is appropriate, complete and clearly documented. Apply a risk-based sampling approach to select cases for review, ensuring appropriate coverage across underwriter mandates, decision types and risk segments. Perform reviews in line with established QA standards to ensure consistency, objectivity and auditability. Clearly document all QA outcomes, including scoring, rationale and findings in accordance with QA governance requirements. Identify and analyse trends, control weaknesses and recurring issues arising from QA reviews. Conduct root cause analysis to determine underlying drivers of procedural breaches or gaps, inconsistent decision-making and control failures. This includes considering the adequacy of controls at all stages of a process to mitigate potential harm to customers and/or MBFS and highlighting change candidates for review and improvement. Provide clear, constructive and evidence-based feedback to underwriting management with targeted recommendations to improve underwriting quality, consistency and compliance. Contribute to training programmes, process improvements and procedure refinement. Where required, support calibration sessions to ensure consistent interpretation of credit policy. Take ownership of your recommendations and actively monitor the progress of resulting changes, ensuring they are effectively embedded in future reviews and processes. Produce regular QA reporting, including quality scores and key metrics, emerging risks, root cause insights and recommendations. Escalate material issues, breaches or systemic risks to underwriting management and appropriate governance channels as required. Support committee and governance reporting where underwriting quality or control effectiveness is discussed. Competency assessments must be passed prior to commencing live reviews and levels maintained to ensure that the correct accreditation is in place for the reviews that are being performed. Reviews must be completed in line with defined targets for volume and precision, providing clear, accurate, and constructive feedback on areas that would benefit from improvement. Implementation of informal complaint reviews related to underwriting decisions to align with the wider Operations team. To remain up to date on all regulatory change and to support with continuous improvement: Creation of new QA framework and QA scorecard that aligns with business and Compliance requirements. Responsible for regular periodic framework reviews with recommendations for any elements that need to be updated or new additions that need to be considered as our approach evolves to ensure consistent adherence to the agreed framework. Maintain strong working knowledge of relevant regulatory frameworks, including FCA Consumer Credit Sourcebook (CONC), Internal Directives and Procedures. Maintaining knowledge across all in-scope processes following any process or system updates, ensuring adherence to any changes that are introduced. Support responses to internal audit, compliance monitoring, and regulatory reviews where required and actively participate in the implementation of any changes identified to improve the delivery and output of reviews. Engage with Underwriting teams, Credit Risk leadership team, Compliance and Risk functions. Maintain independence while promoting a collaborative and improvement-focused culture. Providing feedback: The ability to effectively communicate the outcome of any review and recommendations for improvement, either in writing or verbally, with colleagues and stakeholders at all levels is essential. About you Proven experience, 3+ years, in a Quality Assurance role preferably within a credit underwriting environment within the auto finance sector. Strong understanding of FCA regulations, including Consumer Duty, Vulnerable Customers and CONC. Excellent analytical skills and attention to detail. Effective communication and interpersonal skills. Strong written and verbal communication skills, with the ability to make complex information clear and easy to understand. Effective listening, coaching, reasoning and influencing skills. Be self-motivated with a proactive, positive, and determined mindset, with a willingness to overcome challenges. Ability to mark reviews fairly, consistently, objectively and compliantly within set guidelines and frameworks. Strong organisational and time management skills to ensure adherence to timeframes and targets. Proactive analytic skills with evidence of critical thinking and logical reasoning, including identifying root causes. Ability to understand and interpret data to provide insight for others. Commitment to professional development and continuous learning. What's in it for you? We'll offer you a competitive salary and discretionary bonus structure. We also hope you'll love our products as much as we do, with access to our colleague car schemes. On top of that, you'll be able to join our pension scheme and you'll get a flexible benefit pot that can be used to find the benefits that are right for you. We're here to support you - we offer access to colleague wellbeing resources, including an Employee Assistance Programme, Mental Health First Aiders and the Inclusion Advocates as well as flexible opportunities to support work life balance. We'll also encourage your development, with the training and knowledge you need to reach your potential. Through the doors of Mercedes-Benz Financial Services, you'll find a passionate team working to put our customers first. We know that to keep this team motivated, we need to ensure that everyone has equal opportunity to learn and develop. We celebrate a culture of appreciation and respect, where everyone is valued for who they are. We believe our backgrounds, experiences and cultures contribute to our shared experience and shape who we are and what we do. The diversity of our colleagues reflects the diversity of our customers. This diversity is the driving force behind our ideas. What's next? The Mercedes-Benz recruitment process reflects our obligations under relevant UK legislation. Whilst all applications are carefully considered, we are only able to progress applications from candidates who have the right to work in the United Kingdom. Please be assured that we're here to support you throughout the recruitment process and beyond, and reasonable adjustments are available to any candidates who need them. We're also open to working flexibly and are happy to discuss flexible working options. We care about your personal data. The General Data Protection Regulation provides you with more control and by submitting an application to us; we consider this an agreement to process your personal data in support of our recruitment and selection process. Data categories that we process in relation to your application are the ones that you provided as part of the application process. We process your personal data in relation to the application, in accordance with the legal requirements. Recipients of your personal data within our company are the managers of the specialist unit in charge of filling the position and the responsible colleagues from HR. . click apply for full job details
31/07/2026
Full time
Job Description - Retail Credit Quality Assurance Specialist (MER00046QH) Retail Credit Quality Assurance Specialist Group : Mercedes-Benz Group AG Description Job Title: Retail Credit Quality Assurance Specialist Closing Date: 12 August 2026 About us AtMercedes-Benz Financial Services, our employees are at the heart of our business. Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers. It doesn't matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you. Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues. We ensure that everyone has an equal opportunity to learn and develop. We want to celebrate your individuality, embrace your personality and welcome you into our culture. It's the differences of our colleagues that enable us to thrive. We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience. Inclusion is the driving force behind our ethos. At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace. We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it. How you'll play your part In this role, you will independently review retail credit underwriting decisions to ensure that they are made in line with internal credit procedures, delegated authority frameworks and applicable regulatory requirements, including FCA CONC obligations, supporting the delivery of consistent, fair and compliant customer outcomes. Main Accountabilities Reporting into the Quality Assurance Manager, you will conduct daily, timely and structured reviews of retail credit underwriting decisions using a defined Quality Assurance (QA) framework and methodology. Assess whether decisions are consistent with internal credit policies and procedures, delegated authority limits and approval frameworks and FCA CONC requirements relating to creditworthiness, affordability and responsible lending. Ensure evidence supporting decisions is appropriate, complete and clearly documented. Apply a risk-based sampling approach to select cases for review, ensuring appropriate coverage across underwriter mandates, decision types and risk segments. Perform reviews in line with established QA standards to ensure consistency, objectivity and auditability. Clearly document all QA outcomes, including scoring, rationale and findings in accordance with QA governance requirements. Identify and analyse trends, control weaknesses and recurring issues arising from QA reviews. Conduct root cause analysis to determine underlying drivers of procedural breaches or gaps, inconsistent decision-making and control failures. This includes considering the adequacy of controls at all stages of a process to mitigate potential harm to customers and/or MBFS and highlighting change candidates for review and improvement. Provide clear, constructive and evidence-based feedback to underwriting management with targeted recommendations to improve underwriting quality, consistency and compliance. Contribute to training programmes, process improvements and procedure refinement. Where required, support calibration sessions to ensure consistent interpretation of credit policy. Take ownership of your recommendations and actively monitor the progress of resulting changes, ensuring they are effectively embedded in future reviews and processes. Produce regular QA reporting, including quality scores and key metrics, emerging risks, root cause insights and recommendations. Escalate material issues, breaches or systemic risks to underwriting management and appropriate governance channels as required. Support committee and governance reporting where underwriting quality or control effectiveness is discussed. Competency assessments must be passed prior to commencing live reviews and levels maintained to ensure that the correct accreditation is in place for the reviews that are being performed. Reviews must be completed in line with defined targets for volume and precision, providing clear, accurate, and constructive feedback on areas that would benefit from improvement. Implementation of informal complaint reviews related to underwriting decisions to align with the wider Operations team. To remain up to date on all regulatory change and to support with continuous improvement: Creation of new QA framework and QA scorecard that aligns with business and Compliance requirements. Responsible for regular periodic framework reviews with recommendations for any elements that need to be updated or new additions that need to be considered as our approach evolves to ensure consistent adherence to the agreed framework. Maintain strong working knowledge of relevant regulatory frameworks, including FCA Consumer Credit Sourcebook (CONC), Internal Directives and Procedures. Maintaining knowledge across all in-scope processes following any process or system updates, ensuring adherence to any changes that are introduced. Support responses to internal audit, compliance monitoring, and regulatory reviews where required and actively participate in the implementation of any changes identified to improve the delivery and output of reviews. Engage with Underwriting teams, Credit Risk leadership team, Compliance and Risk functions. Maintain independence while promoting a collaborative and improvement-focused culture. Providing feedback: The ability to effectively communicate the outcome of any review and recommendations for improvement, either in writing or verbally, with colleagues and stakeholders at all levels is essential. About you Proven experience, 3+ years, in a Quality Assurance role preferably within a credit underwriting environment within the auto finance sector. Strong understanding of FCA regulations, including Consumer Duty, Vulnerable Customers and CONC. Excellent analytical skills and attention to detail. Effective communication and interpersonal skills. Strong written and verbal communication skills, with the ability to make complex information clear and easy to understand. Effective listening, coaching, reasoning and influencing skills. Be self-motivated with a proactive, positive, and determined mindset, with a willingness to overcome challenges. Ability to mark reviews fairly, consistently, objectively and compliantly within set guidelines and frameworks. Strong organisational and time management skills to ensure adherence to timeframes and targets. Proactive analytic skills with evidence of critical thinking and logical reasoning, including identifying root causes. Ability to understand and interpret data to provide insight for others. Commitment to professional development and continuous learning. What's in it for you? We'll offer you a competitive salary and discretionary bonus structure. We also hope you'll love our products as much as we do, with access to our colleague car schemes. On top of that, you'll be able to join our pension scheme and you'll get a flexible benefit pot that can be used to find the benefits that are right for you. We're here to support you - we offer access to colleague wellbeing resources, including an Employee Assistance Programme, Mental Health First Aiders and the Inclusion Advocates as well as flexible opportunities to support work life balance. We'll also encourage your development, with the training and knowledge you need to reach your potential. Through the doors of Mercedes-Benz Financial Services, you'll find a passionate team working to put our customers first. We know that to keep this team motivated, we need to ensure that everyone has equal opportunity to learn and develop. We celebrate a culture of appreciation and respect, where everyone is valued for who they are. We believe our backgrounds, experiences and cultures contribute to our shared experience and shape who we are and what we do. The diversity of our colleagues reflects the diversity of our customers. This diversity is the driving force behind our ideas. What's next? The Mercedes-Benz recruitment process reflects our obligations under relevant UK legislation. Whilst all applications are carefully considered, we are only able to progress applications from candidates who have the right to work in the United Kingdom. Please be assured that we're here to support you throughout the recruitment process and beyond, and reasonable adjustments are available to any candidates who need them. We're also open to working flexibly and are happy to discuss flexible working options. We care about your personal data. The General Data Protection Regulation provides you with more control and by submitting an application to us; we consider this an agreement to process your personal data in support of our recruitment and selection process. Data categories that we process in relation to your application are the ones that you provided as part of the application process. We process your personal data in relation to the application, in accordance with the legal requirements. Recipients of your personal data within our company are the managers of the specialist unit in charge of filling the position and the responsible colleagues from HR. . click apply for full job details
Daimler Trucks North America LLC
Milton Keynes, Buckinghamshire
Mercedes-Benz Financial Services is seeking a Power BI Developer to design and deliver robust dashboards and data models for the Finance & MI community. You will migrate legacy Cognos reports to Power BI, validate data, and ensure outputs are accurate, trusted and well documented. You will partner with finance stakeholders, build reusable reporting structures, and drive user adoption through coaching and support.
30/07/2026
Full time
Mercedes-Benz Financial Services is seeking a Power BI Developer to design and deliver robust dashboards and data models for the Finance & MI community. You will migrate legacy Cognos reports to Power BI, validate data, and ensure outputs are accurate, trusted and well documented. You will partner with finance stakeholders, build reusable reporting structures, and drive user adoption through coaching and support.
Daimler Trucks North America LLC
Milton Keynes, Buckinghamshire
Job Description - Power BI Developer (MER00046LM) Description Job Title: Power BI Developer Closing Date: 31 August 2026 About us AtMercedes-Benz Financial Services, our employees are at the heart of our business. Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers. It doesn't matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you. Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues. We ensure that everyone has an equal opportunity to learn and develop. We want to celebrate your individuality, embrace your personality and welcome you into our culture. It's the differences of our colleagues that enable us to thrive. We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience. Inclusion is the driving force behind our ethos. At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace. We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it. How you'll play your part In this role, you will work directly with finance stakeholders to understand reporting needs, shape requirements, build robust data models and deliver Power BI dashboards that are adopted by the business. Using data from multiple sources, you will create and enhance Power BI reports, semantic models and reusable reporting structures, ensuring outputs are accurate, trusted and well documented. You will also support the migration of legacy Cognos reporting into Power BI, drive user adoption through training and support, and mentor a Data Apprentice while sharing BI development knowledge across the Finance & Management Information community. The role combines technical depth with strong stakeholder engagement, so success will be measured not only by dashboard quality, but also by business value, usability and pace of delivery. Main Accountabilities Finance dashboard development and stakeholder delivery: Partner with Finance & Controlling stakeholders to understand reporting needs and agree clear requirements, definitions and acceptance criteria. Prioritise dashboard development based on business value, user impact and delivery feasibility. Design, build, test and deploy Power BI dashboards, reports and semantic models. Create DAX measures, calculations, KPIs and common data elements that are accurate, reusable and well governed. Identify and connect to appropriate data sources, including Databricks, SQL, data lake, data warehouse and Excel. Apply data validation, reconciliation, unit testing and troubleshooting before release. Create documentation covering data sources, model logic, measures, definitions and usage guidance. Work with the wider Data & MI team to ensure reporting standards, governance and best practice are followed. Head Office dashboard adoption and reporting alignment: Identify existing Head Office Power BI dashboards, data models and schemas that can support UK reporting requirements. Promote adoption of relevant Head Office solutions to avoid duplication and support consistency across reporting outputs. Adapt, deploy and explain Head Office reporting where appropriate for UK users. Provide training, guidance and support to improve dashboard adoption and user confidence. Cognos migration and legacy report modernisation: Support the decommissioning of legacy Cognos Data Warehouse reports by identifying reporting needs that should migrate to Power BI. Rebuild, improve and optimise priority legacy reports using Power BI, modern data sources and improved reporting design. Work with users to test migrated reports, confirm accuracy and support transition from legacy reporting. Help reduce manual reporting effort and improve the consistency, reliability and usability of Finance MI. Mentoring and knowledge sharing: Mentor and support one Data Apprentice, helping them build confidence in data, reporting and BI development. Share Power BI knowledge and good practice with analysts and business users across the Finance & MI community. Act as a trusted point of contact for Power BI dashboard questions, issue resolution and user guidance. About you Essential technical skills: Strong hands-on experience developing Power BI dashboards, reports and semantic models. Advanced DAX capability, including measures, calculations, KPIs, filter context and performance-aware design. Experience creating robust data models, relationships, reusable reporting structures and business-friendly reporting layers. Strong SQL skills for querying, validating and preparing data. Working knowledge of Databricks, Azure Data Factory, Azure data lake or similar modern data platform technologies. Advanced Excel capability, including use of Excel as a reporting input where structured data feeds are not yet available. Understanding of data quality, reconciliation, testing, documentation and reporting governance. Awareness of BI best practice, including performance optimisation, dashboard usability and controlled deployment. Experience with Power BI Service, workspaces, scheduled refresh, access management and deployment processes. Knowledge of Power Query, Power Automate, Power Pivot, SharePoint, Teams and OneDrive. Understanding of data warehouse concepts, dimensional modelling and ETL or ELT frameworks. Experience with legacy Cognos reporting is beneficial but not essential. Experience working with finance, performance management, KPI reporting or management information is highly desirable. Business and behavioural skills: Strong stakeholder engagement skills, with the ability to translate business questions into reporting requirements. Ability to explain technical concepts and data insights clearly to non-technical users. Customer-focused mindset, with a commitment to building dashboards that are useful, trusted and adopted. Analytical, curious and comfortable challenging unclear requirements or inconsistent data. Organised and delivery focused, with the ability to manage multiple priorities in an agile environment. Strong attention to detail and a practical approach to solving reporting and data issues. Collaborative style, with a willingness to coach colleagues and support wider BI capability. What's in it for you? We'll offer you a competitive salary and discretionary bonus structure. We also hope you'll love our products as much as we do, with access to our colleague car schemes. On top of that, you'll be able to join our pension scheme and you'll get a flexible benefit pot that can be used to find the benefits that are right for you. We're here to support you - we offer access to colleague wellbeing resources, including an Employee Assistance Programme, Mental Health First Aiders and the Inclusion Advocates as well as flexible opportunities to support work life balance. We'll also encourage your development, with the training and knowledge you need to reach your potential. Organization
30/07/2026
Full time
Job Description - Power BI Developer (MER00046LM) Description Job Title: Power BI Developer Closing Date: 31 August 2026 About us AtMercedes-Benz Financial Services, our employees are at the heart of our business. Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers. It doesn't matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you. Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues. We ensure that everyone has an equal opportunity to learn and develop. We want to celebrate your individuality, embrace your personality and welcome you into our culture. It's the differences of our colleagues that enable us to thrive. We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience. Inclusion is the driving force behind our ethos. At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace. We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it. How you'll play your part In this role, you will work directly with finance stakeholders to understand reporting needs, shape requirements, build robust data models and deliver Power BI dashboards that are adopted by the business. Using data from multiple sources, you will create and enhance Power BI reports, semantic models and reusable reporting structures, ensuring outputs are accurate, trusted and well documented. You will also support the migration of legacy Cognos reporting into Power BI, drive user adoption through training and support, and mentor a Data Apprentice while sharing BI development knowledge across the Finance & Management Information community. The role combines technical depth with strong stakeholder engagement, so success will be measured not only by dashboard quality, but also by business value, usability and pace of delivery. Main Accountabilities Finance dashboard development and stakeholder delivery: Partner with Finance & Controlling stakeholders to understand reporting needs and agree clear requirements, definitions and acceptance criteria. Prioritise dashboard development based on business value, user impact and delivery feasibility. Design, build, test and deploy Power BI dashboards, reports and semantic models. Create DAX measures, calculations, KPIs and common data elements that are accurate, reusable and well governed. Identify and connect to appropriate data sources, including Databricks, SQL, data lake, data warehouse and Excel. Apply data validation, reconciliation, unit testing and troubleshooting before release. Create documentation covering data sources, model logic, measures, definitions and usage guidance. Work with the wider Data & MI team to ensure reporting standards, governance and best practice are followed. Head Office dashboard adoption and reporting alignment: Identify existing Head Office Power BI dashboards, data models and schemas that can support UK reporting requirements. Promote adoption of relevant Head Office solutions to avoid duplication and support consistency across reporting outputs. Adapt, deploy and explain Head Office reporting where appropriate for UK users. Provide training, guidance and support to improve dashboard adoption and user confidence. Cognos migration and legacy report modernisation: Support the decommissioning of legacy Cognos Data Warehouse reports by identifying reporting needs that should migrate to Power BI. Rebuild, improve and optimise priority legacy reports using Power BI, modern data sources and improved reporting design. Work with users to test migrated reports, confirm accuracy and support transition from legacy reporting. Help reduce manual reporting effort and improve the consistency, reliability and usability of Finance MI. Mentoring and knowledge sharing: Mentor and support one Data Apprentice, helping them build confidence in data, reporting and BI development. Share Power BI knowledge and good practice with analysts and business users across the Finance & MI community. Act as a trusted point of contact for Power BI dashboard questions, issue resolution and user guidance. About you Essential technical skills: Strong hands-on experience developing Power BI dashboards, reports and semantic models. Advanced DAX capability, including measures, calculations, KPIs, filter context and performance-aware design. Experience creating robust data models, relationships, reusable reporting structures and business-friendly reporting layers. Strong SQL skills for querying, validating and preparing data. Working knowledge of Databricks, Azure Data Factory, Azure data lake or similar modern data platform technologies. Advanced Excel capability, including use of Excel as a reporting input where structured data feeds are not yet available. Understanding of data quality, reconciliation, testing, documentation and reporting governance. Awareness of BI best practice, including performance optimisation, dashboard usability and controlled deployment. Experience with Power BI Service, workspaces, scheduled refresh, access management and deployment processes. Knowledge of Power Query, Power Automate, Power Pivot, SharePoint, Teams and OneDrive. Understanding of data warehouse concepts, dimensional modelling and ETL or ELT frameworks. Experience with legacy Cognos reporting is beneficial but not essential. Experience working with finance, performance management, KPI reporting or management information is highly desirable. Business and behavioural skills: Strong stakeholder engagement skills, with the ability to translate business questions into reporting requirements. Ability to explain technical concepts and data insights clearly to non-technical users. Customer-focused mindset, with a commitment to building dashboards that are useful, trusted and adopted. Analytical, curious and comfortable challenging unclear requirements or inconsistent data. Organised and delivery focused, with the ability to manage multiple priorities in an agile environment. Strong attention to detail and a practical approach to solving reporting and data issues. Collaborative style, with a willingness to coach colleagues and support wider BI capability. What's in it for you? We'll offer you a competitive salary and discretionary bonus structure. We also hope you'll love our products as much as we do, with access to our colleague car schemes. On top of that, you'll be able to join our pension scheme and you'll get a flexible benefit pot that can be used to find the benefits that are right for you. We're here to support you - we offer access to colleague wellbeing resources, including an Employee Assistance Programme, Mental Health First Aiders and the Inclusion Advocates as well as flexible opportunities to support work life balance. We'll also encourage your development, with the training and knowledge you need to reach your potential. Organization
Daimler Trucks North America LLC
Milton Keynes, Buckinghamshire
Description Closing Date: 31 August 2026 About us AtMercedes-Benz Financial Services, our employees are at the heart of our business. Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers. It doesn't matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you. Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues. We ensure that everyone has an equal opportunity to learn and develop. We want to celebrate your individuality, embrace your personality and welcome you into our culture. It's the differences of our colleagues that enable us to thrive. We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience. Inclusion is the driving force behind our ethos. At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace. We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it. How you'll play your part In this role, you will work closely with Finance, MI, Data Governance, IT and wider business stakeholders to translate business requirements and user stories into robust data models, semantic layers, calculations, measures, KPIs and reporting outputs. The role will support operational interfaces, aggregated data files, regulatory and operational reporting, and analytical use cases. We are looking for a hands on data professional with strong expertise in Databricks, Azure Data Factory, SQL, Power BI, DAX and data modelling techniques. The role will contribute to the migration from the existing data warehouse and Cognos reporting environment into the new Azure Data Lake, helping to create scalable, trusted and reusable data assets for MBFS. The role will also provide line management, coaching and mentoring to one Data Apprentice, supporting their development while strengthening data capability across the MI team. Main Accountabilities Design and deliver data models and schemas for each new data source tranche selected for the strategic Data Lake solution, aligned to agreed user stories and business priorities. Define and build calculations, measures, Critical Data Elements, KPIs and data quality criteria that support trusted reporting, operational interfaces and analytical outputs. Develop data models and schemas for new Finance dashboards, ensuring consistency, scalability and reusability across the MI reporting landscape. Support the migration of relevant data sources and associated Cognos reports from the existing Data Warehouse to the new Azure Data Lake. Create and maintain semantic layers that enable business users and data analysts to consume data consistently and efficiently. Work with Data Governance to define, document and manage common data modelling components, standards and ownership principles. Identify opportunities to enable advanced analytics, machine learning and AI through well structured, high quality data models. Finance & MI Team Reporting Activity: Partner with MI team members to improve reporting efficiency through enhanced data models, automation and common reporting logic. Review the current reporting catalogue to identify duplication, common Critical Data Elements and opportunities for simplification. Provide operational cover and technical support to the wider MI team where required. Develop and maintain Finance and Controlling MI reports using Power BI, Power BI Report Builder, Cognos or other agreed tools. Contribute to improvements in data governance, data quality, reporting standards, data literacy and user training across MBFS UK. Use Databricks, Azure Data Factory and SQL to support data engineering delivery where required, working closely with the wider Data Engineering team. Contribute to, and influence, the overall data architecture and solution design for MI deliverables. Navigate the MBFS IT landscape to progress delivery, including data configurations, data networks, infrastructure, connectors and integration points across source systems. Line Management: Line Management of a Data Apprentice providing mentoring and guidance. About you Technical Skills and Experience: Expert level experience with Databricks, Azure Data Factory and SQL, including SQL queries, stored procedures and integration patterns. Strong experience in data modelling, schema design and semantic layer creation, including measures, calculations, KPIs and Critical Data Elements. Practical understanding of medallion architecture and how to apply it to scalable Data Lake and reporting solutions. Strong working knowledge of Power BI, Power BI Report Builder and DAX for dashboard and report development. Experience using Microsoft productivity and automation tools, including Power Automate, Power Pivot, Teams, SharePoint and OneDrive. Good understanding of database management systems, ETL frameworks and data integration concepts. Understanding of Azure Data Lake design, dimensional modelling, data mining and reporting architecture. Knowledge of Cognos is desirable but not essential. Business Skills and Behaviours: Able to translate business needs into practical, scalable data and reporting solutions. Proactive, curious and innovative, with a strong focus on continuous improvement. Strong analytical mindset with a structured approach to problem solving. Confident coaching, mentoring and influencing end users, business data analysts and less experienced team members. Comfortable working in agile delivery environments where requirements may evolve and not all facts are known up front. Collaborative, delivery focused and able to build effective relationships with technical and non technical stakeholders. What's in it for you? We'll offer you a competitive salary and discretionary bonus structure. We also hope you'll love our products as much as we do, with access to our colleague car schemes. On top of that, you'll be able to join our pension scheme and you'll get a flexible benefit pot that can be used to find the benefits that are right for you. We're here to support you - we offer access to colleague wellbeing resources, including an Employee Assistance Programme, Mental Health First Aiders and the Inclusion Advocates as well as flexible opportunities to support work life balance. We'll also encourage your development, with the training and knowledge you need to reach your potential. Through the doors of Mercedes-Benz Financial Services, you'll find a passionate team working to put our customers first. We know that to keep this team motivated, we need to ensure that everyone has equal opportunity to learn and develop. We celebrate a culture of appreciation and respect, where everyone is valued for who they are. We believe our backgrounds, experiences and cultures contribute to our shared experience and shape who we are and what we do. The diversity of our colleagues reflects the diversity of our customers. This diversity is the driving force behind our ideas.
30/07/2026
Full time
Description Closing Date: 31 August 2026 About us AtMercedes-Benz Financial Services, our employees are at the heart of our business. Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers. It doesn't matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you. Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues. We ensure that everyone has an equal opportunity to learn and develop. We want to celebrate your individuality, embrace your personality and welcome you into our culture. It's the differences of our colleagues that enable us to thrive. We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience. Inclusion is the driving force behind our ethos. At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace. We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it. How you'll play your part In this role, you will work closely with Finance, MI, Data Governance, IT and wider business stakeholders to translate business requirements and user stories into robust data models, semantic layers, calculations, measures, KPIs and reporting outputs. The role will support operational interfaces, aggregated data files, regulatory and operational reporting, and analytical use cases. We are looking for a hands on data professional with strong expertise in Databricks, Azure Data Factory, SQL, Power BI, DAX and data modelling techniques. The role will contribute to the migration from the existing data warehouse and Cognos reporting environment into the new Azure Data Lake, helping to create scalable, trusted and reusable data assets for MBFS. The role will also provide line management, coaching and mentoring to one Data Apprentice, supporting their development while strengthening data capability across the MI team. Main Accountabilities Design and deliver data models and schemas for each new data source tranche selected for the strategic Data Lake solution, aligned to agreed user stories and business priorities. Define and build calculations, measures, Critical Data Elements, KPIs and data quality criteria that support trusted reporting, operational interfaces and analytical outputs. Develop data models and schemas for new Finance dashboards, ensuring consistency, scalability and reusability across the MI reporting landscape. Support the migration of relevant data sources and associated Cognos reports from the existing Data Warehouse to the new Azure Data Lake. Create and maintain semantic layers that enable business users and data analysts to consume data consistently and efficiently. Work with Data Governance to define, document and manage common data modelling components, standards and ownership principles. Identify opportunities to enable advanced analytics, machine learning and AI through well structured, high quality data models. Finance & MI Team Reporting Activity: Partner with MI team members to improve reporting efficiency through enhanced data models, automation and common reporting logic. Review the current reporting catalogue to identify duplication, common Critical Data Elements and opportunities for simplification. Provide operational cover and technical support to the wider MI team where required. Develop and maintain Finance and Controlling MI reports using Power BI, Power BI Report Builder, Cognos or other agreed tools. Contribute to improvements in data governance, data quality, reporting standards, data literacy and user training across MBFS UK. Use Databricks, Azure Data Factory and SQL to support data engineering delivery where required, working closely with the wider Data Engineering team. Contribute to, and influence, the overall data architecture and solution design for MI deliverables. Navigate the MBFS IT landscape to progress delivery, including data configurations, data networks, infrastructure, connectors and integration points across source systems. Line Management: Line Management of a Data Apprentice providing mentoring and guidance. About you Technical Skills and Experience: Expert level experience with Databricks, Azure Data Factory and SQL, including SQL queries, stored procedures and integration patterns. Strong experience in data modelling, schema design and semantic layer creation, including measures, calculations, KPIs and Critical Data Elements. Practical understanding of medallion architecture and how to apply it to scalable Data Lake and reporting solutions. Strong working knowledge of Power BI, Power BI Report Builder and DAX for dashboard and report development. Experience using Microsoft productivity and automation tools, including Power Automate, Power Pivot, Teams, SharePoint and OneDrive. Good understanding of database management systems, ETL frameworks and data integration concepts. Understanding of Azure Data Lake design, dimensional modelling, data mining and reporting architecture. Knowledge of Cognos is desirable but not essential. Business Skills and Behaviours: Able to translate business needs into practical, scalable data and reporting solutions. Proactive, curious and innovative, with a strong focus on continuous improvement. Strong analytical mindset with a structured approach to problem solving. Confident coaching, mentoring and influencing end users, business data analysts and less experienced team members. Comfortable working in agile delivery environments where requirements may evolve and not all facts are known up front. Collaborative, delivery focused and able to build effective relationships with technical and non technical stakeholders. What's in it for you? We'll offer you a competitive salary and discretionary bonus structure. We also hope you'll love our products as much as we do, with access to our colleague car schemes. On top of that, you'll be able to join our pension scheme and you'll get a flexible benefit pot that can be used to find the benefits that are right for you. We're here to support you - we offer access to colleague wellbeing resources, including an Employee Assistance Programme, Mental Health First Aiders and the Inclusion Advocates as well as flexible opportunities to support work life balance. We'll also encourage your development, with the training and knowledge you need to reach your potential. Through the doors of Mercedes-Benz Financial Services, you'll find a passionate team working to put our customers first. We know that to keep this team motivated, we need to ensure that everyone has equal opportunity to learn and develop. We celebrate a culture of appreciation and respect, where everyone is valued for who they are. We believe our backgrounds, experiences and cultures contribute to our shared experience and shape who we are and what we do. The diversity of our colleagues reflects the diversity of our customers. This diversity is the driving force behind our ideas.
Daimler Trucks North America LLC
Milton Keynes, Buckinghamshire
Mercedes-Benz Financial Services is seeking a data engineer to design and deliver scalable data models for the MI reporting landscape. You will work with Databricks, Azure Data Factory and SQL to build semantic layers, KPIs and trusted analytics that support operational and regulatory reporting. You will mentor a Data Apprentice and collaborate with Finance, MI, IT and wider stakeholders to migrate Cognos reports to the Azure Data Lake, driving data quality and governance across MBFS UK.
30/07/2026
Full time
Mercedes-Benz Financial Services is seeking a data engineer to design and deliver scalable data models for the MI reporting landscape. You will work with Databricks, Azure Data Factory and SQL to build semantic layers, KPIs and trusted analytics that support operational and regulatory reporting. You will mentor a Data Apprentice and collaborate with Finance, MI, IT and wider stakeholders to migrate Cognos reports to the Azure Data Lake, driving data quality and governance across MBFS UK.
Daimler Trucks North America LLC
Milton Keynes, Buckinghamshire
Job Description - Enterprise Data Owner, Team Lead & Senior Business Intelligence (BI) Developer (MER00046LS) Description Job Title: Enterprise Data Owner, Team Lead & Senior Business Intelligence (BI) Developer Closing Date: 31 August 2026 About us AtMercedes-Benz Financial Services, our employees are at the heart of our business. Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers. It doesn't matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you. Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues. We ensure that everyone has an equal opportunity to learn and develop. We want to celebrate your individuality, embrace your personality and welcome you into our culture. It's the differences of our colleagues that enable us to thrive. We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience. Inclusion is the driving force behind our ethos. At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace. We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it. How you'll play your part In this role, you will be central to our data transformation journey. You will lead the Data & MI team, own key data platforms, and help move MBFS from a legacy data warehouse environment to a modern Microsoft Azure-based data lake architecture. You will shape how data is governed, managed and used across the business, creating trusted reporting, stronger financial insight and improved decision-making. The role combines people leadership, hands on BI expertise, data ownership and business partnering. You will bring a strong customer focus, using data to solve real business problems and improve the quality, speed and relevance of insight delivered to Finance and wider MBFS stakeholders. You will also challenge legacy processes, improve data quality and lead the creation of valued, future ready reporting and analytics. Main Accountabilities Lead and develop the Data & MI team, ensuring the team has the right skills, priorities and delivery focus across data governance, quality assurance, analysis, Cognos reporting and Power BI development. Manage MI team resources, including: Data Quality Assurance Data Governance Report Developers Own and continuously improve the data warehouse and data lake environment, ensuring business critical reporting platforms remain stable, trusted and aligned to the future data architecture: Existing Cognos data warehouse reports, interfaces and statements Existing SQL-based data warehouse Power BI and Databricks reporting catalogue Deliver BI analytics, dashboards and reports that provide high quality Finance insight, support regulatory and risk reporting commitments, and enable better decision making across MBFS: Migration of reports from the legacy data warehouse to the new data lake Creation of a suite of Finance dashboards Ensure regulatory and risk reporting commitments are met Support reporting delivered by wider business data analysts Introduce advanced analytics within MBFS. Act as Lead Data Steward, embedding data governance standards, improving data quality, supporting user certification and acting as an escalation point for data issues: Provide business expertise, acting as a Subject Matter Expert (SME) with contextual knowledge of the data used to enable key business processes Enforce data governance policies created by the Data Governance Committee Be accountable for user certification of designated business data usage Provide oversight and reporting on data quality Acts as an escalation point for Data Stewards Collaborates with front line data stewards to ensure best practices are being followed Escalate data issues to the Enterprise Data Steward and Data Governance Committee for resolution. Act as Enterprise Data Owner, shaping the MBFS data vision, tracking data business benefits and influencing future tooling and capability decisions: Data business case tracking About you Technical skills and experience Good understanding of data models, schemas and reporting structures. Strong DAX capability, including measures, calculations, KPIs and common data entities. Working knowledge of Databricks, Azure Data Factory and Microsoft Azure data lakes. Strong SQL capability, including queries, stored procedures and integration processes. Advanced Microsoft Excel skills. Experience using Power Automate, Power Pivot, Microsoft Teams, SharePoint and OneDrive to improve operational efficiency. Understanding of database management systems and ETL frameworks. Strong understanding of BI concepts, best practice and reporting governance. Cognos experience would be advantageous but is not essential. Business skills and behaviours Customer focused mindset with the ability to create dashboards and insights that solve meaningful business problems. Strong communication, negotiation and influencing skills, with the confidence to lead stakeholders through complex data topics. Clear understanding of how data quality affects business performance, risk management and decision making. Experience of data quality principles, tools and improvement approaches. Experience in business process improvement, quality assurance or continuous improvement. Strong understanding of business processes and how data enables operational and financial outcomes. Appreciation of data management as a business discipline, not only a technical function. Understanding of OLAP, business intelligence technologies and reporting concepts. Ability to translate technical data concepts into clear business insight for non technical audiences. Strong working knowledge of available data sources and how they connect across business processes. Collaborative working style with the ability to build cooperation across business stakeholders, analysts and technical teams. What's in it for you? We'll offer you a competitive salary and discretionary bonus structure. We also hope you'll love our products as much as we do, with access to our colleague car schemes. On top of that, you'll be able to join our pension scheme and you'll get a flexible benefit pot that can be used to find the benefits that are right for you. We're here to support you - we offer access to colleague wellbeing resources, including an Employee Assistance Programme, Mental Health First Aiders and the Inclusion Advocates as well as flexible opportunities to support work life balance. We'll also encourage your development, with the training and knowledge you need to reach your potential. Through the doors of Mercedes-Benz Financial Services, you'll find a passionate team working to put our customers first. We know that to keep this team motivated, we need to ensure that everyone has equal opportunity to learn and develop. We celebrate a culture of appreciation and respect, where everyone is valued for who they are. We believe our backgrounds, experiences and cultures contribute to our shared experience and shape who we are and what we do. The diversity of our colleagues reflects the diversity of our customers. This diversity is the driving force behind our ideas. What's next? Whilst all applications are carefully considered, we are only able to progress applications from candidates who have the right to work in the United Kingdom. We care about your personal data. The General Data Protection Regulation provides you with more control and by submitting an application to us, we consider this to be an agreement to process your personal data in support of our recruitment and selection process. Data categories that we process in relation to your application are the ones that you provided as part of the application process. We process your personal data in relation to the application, in accordance with the legal requirements. Recipients of your personal data within our company are the managers of the specialist unit in charge of filling the position and the responsible colleagues from HR. Data will be held within our secure application tracking system called Taleo - you'll be given access to a candidate zone in this system where you can monitor and manage your application and see status updates. We will communicate with you, by email or phone throughout the recruitment process so that we can keep you updated and inform you of your progress through the recruitment process. You can also seek 'job alerts' once you are registered in Taleo and it's possible your details may be returned in searches we conduct for new positions and we may contact you by email to let you know about them. We limit the storage of your data to the necessary period. Contact us at for further information. Contact us at for further information. Organization
30/07/2026
Full time
Job Description - Enterprise Data Owner, Team Lead & Senior Business Intelligence (BI) Developer (MER00046LS) Description Job Title: Enterprise Data Owner, Team Lead & Senior Business Intelligence (BI) Developer Closing Date: 31 August 2026 About us AtMercedes-Benz Financial Services, our employees are at the heart of our business. Our colleagues provide a range of financial solutions designed around the changing needs of our diverse customers. It doesn't matter the colour of your skin, the beliefs you value, the people you love or the tattoos you wear, we support you for being you. Through the doors of Mercedes-Benz Financial Services, you will find a passionate team working to support our customers and our colleagues. We ensure that everyone has an equal opportunity to learn and develop. We want to celebrate your individuality, embrace your personality and welcome you into our culture. It's the differences of our colleagues that enable us to thrive. We believe our backgrounds, skills and cultures contribute to our shared culture and help us deliver outstanding Customer Experience. Inclusion is the driving force behind our ethos. At MBFS, we are proud to be a Menopause Friendly Accredited Employer, reflecting our ongoing commitment to creating a supportive and inclusive workplace. We offer wellbeing support options and resources for colleagues experiencing menopause and to those who are supporting someone through it. How you'll play your part In this role, you will be central to our data transformation journey. You will lead the Data & MI team, own key data platforms, and help move MBFS from a legacy data warehouse environment to a modern Microsoft Azure-based data lake architecture. You will shape how data is governed, managed and used across the business, creating trusted reporting, stronger financial insight and improved decision-making. The role combines people leadership, hands on BI expertise, data ownership and business partnering. You will bring a strong customer focus, using data to solve real business problems and improve the quality, speed and relevance of insight delivered to Finance and wider MBFS stakeholders. You will also challenge legacy processes, improve data quality and lead the creation of valued, future ready reporting and analytics. Main Accountabilities Lead and develop the Data & MI team, ensuring the team has the right skills, priorities and delivery focus across data governance, quality assurance, analysis, Cognos reporting and Power BI development. Manage MI team resources, including: Data Quality Assurance Data Governance Report Developers Own and continuously improve the data warehouse and data lake environment, ensuring business critical reporting platforms remain stable, trusted and aligned to the future data architecture: Existing Cognos data warehouse reports, interfaces and statements Existing SQL-based data warehouse Power BI and Databricks reporting catalogue Deliver BI analytics, dashboards and reports that provide high quality Finance insight, support regulatory and risk reporting commitments, and enable better decision making across MBFS: Migration of reports from the legacy data warehouse to the new data lake Creation of a suite of Finance dashboards Ensure regulatory and risk reporting commitments are met Support reporting delivered by wider business data analysts Introduce advanced analytics within MBFS. Act as Lead Data Steward, embedding data governance standards, improving data quality, supporting user certification and acting as an escalation point for data issues: Provide business expertise, acting as a Subject Matter Expert (SME) with contextual knowledge of the data used to enable key business processes Enforce data governance policies created by the Data Governance Committee Be accountable for user certification of designated business data usage Provide oversight and reporting on data quality Acts as an escalation point for Data Stewards Collaborates with front line data stewards to ensure best practices are being followed Escalate data issues to the Enterprise Data Steward and Data Governance Committee for resolution. Act as Enterprise Data Owner, shaping the MBFS data vision, tracking data business benefits and influencing future tooling and capability decisions: Data business case tracking About you Technical skills and experience Good understanding of data models, schemas and reporting structures. Strong DAX capability, including measures, calculations, KPIs and common data entities. Working knowledge of Databricks, Azure Data Factory and Microsoft Azure data lakes. Strong SQL capability, including queries, stored procedures and integration processes. Advanced Microsoft Excel skills. Experience using Power Automate, Power Pivot, Microsoft Teams, SharePoint and OneDrive to improve operational efficiency. Understanding of database management systems and ETL frameworks. Strong understanding of BI concepts, best practice and reporting governance. Cognos experience would be advantageous but is not essential. Business skills and behaviours Customer focused mindset with the ability to create dashboards and insights that solve meaningful business problems. Strong communication, negotiation and influencing skills, with the confidence to lead stakeholders through complex data topics. Clear understanding of how data quality affects business performance, risk management and decision making. Experience of data quality principles, tools and improvement approaches. Experience in business process improvement, quality assurance or continuous improvement. Strong understanding of business processes and how data enables operational and financial outcomes. Appreciation of data management as a business discipline, not only a technical function. Understanding of OLAP, business intelligence technologies and reporting concepts. Ability to translate technical data concepts into clear business insight for non technical audiences. Strong working knowledge of available data sources and how they connect across business processes. Collaborative working style with the ability to build cooperation across business stakeholders, analysts and technical teams. What's in it for you? We'll offer you a competitive salary and discretionary bonus structure. We also hope you'll love our products as much as we do, with access to our colleague car schemes. On top of that, you'll be able to join our pension scheme and you'll get a flexible benefit pot that can be used to find the benefits that are right for you. We're here to support you - we offer access to colleague wellbeing resources, including an Employee Assistance Programme, Mental Health First Aiders and the Inclusion Advocates as well as flexible opportunities to support work life balance. We'll also encourage your development, with the training and knowledge you need to reach your potential. Through the doors of Mercedes-Benz Financial Services, you'll find a passionate team working to put our customers first. We know that to keep this team motivated, we need to ensure that everyone has equal opportunity to learn and develop. We celebrate a culture of appreciation and respect, where everyone is valued for who they are. We believe our backgrounds, experiences and cultures contribute to our shared experience and shape who we are and what we do. The diversity of our colleagues reflects the diversity of our customers. This diversity is the driving force behind our ideas. What's next? Whilst all applications are carefully considered, we are only able to progress applications from candidates who have the right to work in the United Kingdom. We care about your personal data. The General Data Protection Regulation provides you with more control and by submitting an application to us, we consider this to be an agreement to process your personal data in support of our recruitment and selection process. Data categories that we process in relation to your application are the ones that you provided as part of the application process. We process your personal data in relation to the application, in accordance with the legal requirements. Recipients of your personal data within our company are the managers of the specialist unit in charge of filling the position and the responsible colleagues from HR. Data will be held within our secure application tracking system called Taleo - you'll be given access to a candidate zone in this system where you can monitor and manage your application and see status updates. We will communicate with you, by email or phone throughout the recruitment process so that we can keep you updated and inform you of your progress through the recruitment process. You can also seek 'job alerts' once you are registered in Taleo and it's possible your details may be returned in searches we conduct for new positions and we may contact you by email to let you know about them. We limit the storage of your data to the necessary period. Contact us at for further information. Contact us at for further information. Organization
Daimler Trucks North America LLC
Milton Keynes, Buckinghamshire
Mercedes-Benz Financial Services is hiring an Enterprise Data Owner, Team Lead & Senior BI Developer to lead the Data & MI team, manage key data platforms and drive the transition from a legacy warehouse to a modern Azure-based data lake. You will shape data governance, enable trusted reporting and strengthen financial insight across MBFS, partnering with stakeholders to deliver high quality analytics and regulation ready reporting.
30/07/2026
Full time
Mercedes-Benz Financial Services is hiring an Enterprise Data Owner, Team Lead & Senior BI Developer to lead the Data & MI team, manage key data platforms and drive the transition from a legacy warehouse to a modern Azure-based data lake. You will shape data governance, enable trusted reporting and strengthen financial insight across MBFS, partnering with stakeholders to deliver high quality analytics and regulation ready reporting.