99 Database Managers jobs in the United Kingdom
Data Management Intern
Posted 3 days ago
Job Viewed
Job Description
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
Director, Data Management

Posted 7 days ago
Job Viewed
Job Description
Establish and lead a Data Management Support Office framework to drive quality, consistency and efficiencies across a DM FSP model at IQVIA. Where applicable, performs and oversees data management activities in order to provide high quality data that meets client/project needs. Ensures that data is processed and tracked in alignment with regulatory and quality standards.
**RESPONSIBILITIES**
+ Liaise with customer counterpart and internal LT to understand Data Management Support Office business requirements. Develop and execute plan to meet these requirements.
+ Provides direction and support to Data Management Support Office leads in each of the following areas:
+ Onboarding and Training - partnering with customer Learning team to manage and deliver customer onboarding materials, DM role-based curricula/compliance, Train the Trainer etc.
+ Lead Support Office - establish structures to embed customer process/system/standards knowledge and support the institution of new customer lead roles at IQVIA.
+ Continuous Process Improvement - assess impact of customer process changes/establish structure for managing new ideas/process issues with customer.
+ Demand and capacity management.
+ Quality - managing QI investigations and CAPAs; eTMF Compliance.
+ KPI Reporting and Management
+ Provide strategic direction in the Data Management area.
+ Consolidate resource requirements and define staffing needs that ensure project objectives can be met while maximizing utilization, realization and minimizing costs.
+ Monitor and manage utilization and productivity. Ensure performance of staff is regularly assessed and documented. Define staffing needs based on hard backlog and strategic plan for office.
+ Define and implement department objectives consistent with broader office and regional objectives. Provide technical advice and solutions to solve problems and improve efficiency across functions, projects and customers.
+ Monitor quality and efficiency across projects to identify trends and opportunities for improvements. Ensure sharing of learning across projects and departments.
+ Participate in defining strategies for new processes and technology at either regional or global level. Ensure that staff is trained and compliant with current operating procedures and work instructions and project scope of work.
+ Work with peers within office and regions to define and implement training strategies. Mentor staff members to develop Data Management, drug development and business expertise.
+ Manage relationship with customer functional peers. Provide operational input into proposals for large programs and strategic partnerships. Provide input to costing algorithms and standard proposal text.
+ Attend customer meetings and lead discussions of project requirements and strategic planning. Recommend placement of projects based on staffing levels and hard backlog, technology requirements and customer relationships. Ensure compliance of work with project's scope of work.
+ Actively assess and manage project realization. Ensure project milestones are met according to agree upon timelines with high quality. May serve as a Data Management Customer Liaison for one or more customers. Manage staff in accordance with organization's policies and applicable regulations.
+ Responsibilities include planning, assigning, and directing work, appraising performance, and guiding professional development rewarding and disciplining employees, addressing employee relations issues and resolving problems. Approve actions on human resources matters.
+ May manage a Data Management Department, which could be either all data management staff at an office or a subset of staff (80-120) within a large Data Management office.
**REQUIRED KNOWLEDGE, SKILLS AND ABILITIES**
+ Advanced knowledge of Data Management processes and systems, including new technologies
+ Solid understanding of clinical drug development process and production of DM deliverables
+ Strategic leadership ability
+ Knowledge of business processes
+ Strong business acumen; financial management and budgeting skills.
+ Proven ability to work on multiple projects and manage competing priorities
+ Proven staff management skills, strong leadership, motivational and influencing skills.
+ Outstanding written and oral communication skills
+ Proven leadership skills
+ Outstanding problem-solving skills
+ Excellent interpersonal skills
+ Excellent organizational skills and demonstrated ability to delegate appropriately and monitor quality of outputs
+ Outstanding negotiation, decision-making and problem-solving skills.
+ Ability to establish and maintain effective working relationships with co-workers, managers and clients.
**MINIMUM REQUIRED EDUCATION AND EXPERIENCE**
- Bachelor's degree, or educational equivalence, in clinical, biological or mathematical sciences or related field, or nursing
qualification with 12 years of relevant work experience including substantial people management experience; or
equivalent combination of education, training and experience
**PHYSICIAL REQUIREMENTS**
- Extensive use of telephone and face-to-face communication requiring accurate perception of speech
- Extensive use of keyboard requiring repetitive motion of fingers
- Regular sitting for extended periods of time
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
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Data Management Analyst
Posted 5 days ago
Job Viewed
Job Description
Data Management Analyst | Permanent | £60,000 - £70,000 + Bonus + Pension | London (Hybrid 2-3 days in office)
A very exciting Data Management Analyst position to help support the data management office and implement the Data Quality and Governance Framework. You'll love the challenge of improving data quality and get excited by the opportunity good data brings to the company!
You'll be tasked with improving data quality whilst driving the associated cultural change, defining what good looks like, DQ Dimensions and appropriate measurement in terms of dashboards / scorecards as well as working with Data Stewards implementing standards and controls for data.
You will help build and implement Data Quality procedures and processes alongside doing route cause analysis work using SQL build scorecards and leveraging data profiling tools.
The experience you'll need
- As a Hands-on fixer of data! You'll have to be competent in using SQL for fetching and manipulating data
- Experience with metadata and Data Quality tools
- Experience helping develop and implement a Data Management framework, along with embedding policies and processes around this
- Ensure business rules and validation are fit for purpose and built into systems
- Experience working with a large and complex business - Financial services experience would be a plus
This is a great chance to challenge your Data Management skills, in this organisation. A great opportunity to build on the solid foundations already in place but get your name to something and really help this company on their data journey.
Hit apply, you don’t even need your most recent CV right now; we’ll be in touch to go through your experience and discuss the opportunity & client in more detail with you.
As an employer and service provider, we are committed to Equity, Equality, Diversity and Inclusion. Please feel comfortable to let us know if you have a difference or disability that would require us or our clients to make any helpful adjustments for you.
Data Management Analyst
Posted 5 days ago
Job Viewed
Job Description
Data Management Analyst | Permanent | £60,000 - £70,000 + Bonus + Pension | London (Hybrid 2-3 days in office)
A very exciting Data Management Analyst position to help support the data management office and implement the Data Quality and Governance Framework. You'll love the challenge of improving data quality and get excited by the opportunity good data brings to the company!
You'll be tasked with improving data quality whilst driving the associated cultural change, defining what good looks like, DQ Dimensions and appropriate measurement in terms of dashboards / scorecards as well as working with Data Stewards implementing standards and controls for data.
You will help build and implement Data Quality procedures and processes alongside doing route cause analysis work using SQL build scorecards and leveraging data profiling tools.
The experience you'll need
- As a Hands-on fixer of data! You'll have to be competent in using SQL for fetching and manipulating data
- Experience with metadata and Data Quality tools
- Experience helping develop and implement a Data Management framework, along with embedding policies and processes around this
- Ensure business rules and validation are fit for purpose and built into systems
- Experience working with a large and complex business - Financial services experience would be a plus
This is a great chance to challenge your Data Management skills, in this organisation. A great opportunity to build on the solid foundations already in place but get your name to something and really help this company on their data journey.
Hit apply, you don’t even need your most recent CV right now; we’ll be in touch to go through your experience and discuss the opportunity & client in more detail with you.
As an employer and service provider, we are committed to Equity, Equality, Diversity and Inclusion. Please feel comfortable to let us know if you have a difference or disability that would require us or our clients to make any helpful adjustments for you.
Data Management Officer
Posted 5 days ago
Job Viewed
Job Description
Job Title: Data Management Officer - FTC
Salary: £23,333 (£40,000pa pro rata) FTC to 31st March 2026
Team: Data Team, Strategy and Partnerships
Hours: 37.5 hours per week
Location: Hybrid – based in Guildford
About Shooting Star Children’s Hospices
We have an exciting opportunity for a Data Management Officer to join our Data Team at Shooting Star Children’s Hospices. This is a fantastic opportunity for someone with a keen eye for detail, a passion for data quality, and a desire to contribute to meaningful work in the charity and healthcare sector.
Shooting Star Children’s Hospices provides specialist care and support to families who have a baby, child or young person with a life-limiting condition, or who have been bereaved. Rated ‘Outstanding’ by the Care Quality Commission, we support families across Surrey, north-west London and south-west London from diagnosis to end of life and throughout bereavement with a range of nursing, practical, emotional and medical care.
At the heart of what we do are our dedicated staff; their exceptional commitment and professionalism means every family has the opportunity to make every moment count .
About the role
You’ll help ensure the accuracy, consistency, and integrity of data across the organisation. From supporting teams to migrate data into our Care Database, to maintaining documentation and responding to ad hoc data requests, your work will help teams across clinical services, fundraising, HR and more make informed, confident decisions.
This role is ideal for someone with experience in data cleaning and documentation, strong Excel skills, and a collaborative, organised approach to work.
What You’ll Be Doing
- Identifying and resolving data quality issues
- Supporting teams with data migration and standardising data collection processes
- Maintaining key documentation such as data dictionaries and user guides
- Assisting with regular reporting and responding to ad hoc data requests
- Contributing to good data management by following and promoting best practices
About you
- Experience in data management, including cleaning and documentation
- Strong Excel skills (e.g. Pivot Tables, XLOOKUP)
- A methodical, organised approach and excellent attention to detail
- Confidence working with sensitive data and understanding of data protection principles
- A collaborative mindset and the ability to explain technical concepts clearly
What we offer
In return you will receive a competitive salary along with a range of benefits, which include:
Pension scheme
- NHS Pension Scheme (for eligible employees) or our stakeholder pension scheme, with up to 7% employer contributions
Annual leave
- 27 days plus Bank Holidays rising with length of service
- 2 weeks paid sabbatical leave after 5, 10 and 15 years’ service
Contractual benefits
- Generous sick pay scheme
- Enhanced maternity, adoption, and paternity leave pay
- Flexible working arrangements
- Death in service benefits
- Reimbursed professional membership fees
- Eye care
- Employee referral scheme
- Blue Light discount card
Health and wellbeing
- Employee Assistance Programme
- Occupational Health
- Mindfulness sessions
- Cycle to work scheme
- Mental Health First Aiders
- Nutritionally balanced meals at Christopher’s (free for employees) and free fruit at our Hampton site
Safeguarding
We are committed to safeguarding and promoting the welfare of children and young people and expect all our staff to share this commitment. Also, we are committed to equal opportunities and consider all applicants to be in line with the Rehabilitation of Offenders Act 1974. Employment is subject to receipt of satisfactory references and a DBS check.
Equality, diversity and inclusion
Shooting Star Children’s Hospice is committed to inclusion and diversity in everything we do. We know that getting things right is critical for us to live our organisation’s values: Professionalism, Respect, Integrity, Diversity and Excellence.
We are always trying to improve our way of working to be more inclusive and equal. Our vision is for Shooting Star Children’s Hospice to be a place where people of all backgrounds, groups and communities feel welcomed to work and volunteer.
Please contact if you have any questions about this role.
Download Full Job description
Closing Date:05/08/2025
Interview Date: tbc
Data Management Lead
Posted 2 days ago
Job Viewed
Job Description
Data Management Lead
London
Summary
The Data Management Lead (DML) in pharmaceuticals Sciences is responsible for overseeing all data management activities throughout the lifecycle of clinical trials, ensuring the delivery of high-quality, reliable, and compliant clinical data. This role involves leading data strategy development, managing timelines and deliverables. The DML ensures data collection t.
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Senior Data Management Professional - Data Science - Data Management Lab
Posted 8 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10043689
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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Senior Data Management Professional - Data Science - Data Management Lab
Posted 8 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10043689
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Senior Data Management Professional - Data Science - Data Management Lab

Posted 7 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10043689
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Database Developer
Posted today
Job Viewed
Job Description
Database Developer / DBA - Liverpool - £50K – Hybrid
Fed up with legacy systems that make you want to pull your hair out?
Want to work somewhere that actually values your expertise?
Tired of boring database work? Ready to actually make a difference with your SQL skills?
We're working with a long-standing client in the professional services space, to find their next Database Developer. This is an excep.
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