National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Database Administrator

Mobilize Financial Services - UK
8 months ago
Applications closed

Related Jobs

View all jobs

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Data Analyst/Administrator

Data Entry And Quality Control (Admin and Clerical)

Deputy Head of Data Engineering

Data Engineer

Here at Mobilize Financial Services we are recruiting for a DBA (Database Administrator). We are looking for someone who has knowledge of Data Architecture and Data Modelling and a good understanding of how to manage and organise technical aspects of the organisations data; ensuring its quality and security and optimising it business functions .This role requires technical skills and experience, proficiency in data management tools, understanding of data architectural processes and procedures. And a commitment to enforcing data governance and quality policies and standards.What will you do: Responsible for performance tuning, data integrity and security of databasesResponsible for data governance at a technical levelSupporting the Data Architect defining and structuring data and understand impacts on data landscapeCreating / maintaining technical data descriptions in Collibra, artifacts for data modeling, mapping data flows, and tracing data lineage within the systemsDevelop and document technical specifications for data-related projectsSupport data quality monitoring and remediation processes according to procedures and implement data quality indicatorsOptimise data structures for performance and scalabilityEnsure integration of data management solutions with existing infrastructureParticipate in cross-functional teams to align data management initiativesWhat will you bring: Demonstrable DBA experience within a commercial environmentKnowledge of Sybase ASE and MS SQLDatabase Configuration and Performance Tuning experienceData modelling (SAP Powerdesigner)Extensive experience in Data Driven projects with large organisationsExtensive Agile & Scaled Agile experienceWho is Mobilize Financial Services?We are the financial partner of Renault group brands and we also operate for Nissan and non-Allianz brands. We aim to strengthen their profitable growth and reinforce customer satisfaction. We are a unique commercial brand to meet all customers car-related and mobility needs. As a partner who cares for all its customers, we build innovative financial services to create sustainable mobility for all.How We Support Your Development:At Mobilize Financial Services we believe in the power of continuous learning and personal growth. As we strive to cultivate a dynamic and innovative work environment, we recognise that investing in the development of our employees is paramount and everyone should have the opportunity and tools to thrive and reach their full potential. As a part of our team, you'll benefit from a variety of ongoing learning opportunities, including workshops, seminars, and online courses. Our mentorship program pairs employees with seasoned professionals who provide guidance tailored to individual career goals. Joining our supportive network means you'll be surrounded by colleagues dedicated to continuous improvement, fostering an environment where collaboration and growth thrive.Mobilize Financial Services is an equal opportunity employer and is committed to providing a workplace that is inclusive and accessible to all. Should you require any reasonable adjustments to participate in the recruitment process or as part of your role, please let us know. Our aim is to ensure that every candidate and employee has the support they need to thrive and contribute to the best of their ability.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.