114 Database Platforms jobs in the United Kingdom

Test Engineer – Data Platforms

Role Overview

We are seeking an experienced Lead Test Engineer to take full ownership of the testing approach for data pipelines and data products within a modern Azure data platform. This role is hands-on: you will design, implement, and execute test strategies across the stack, working alongside data engineers, BI developers, and architects to ensure robust, high-quality, and reliable solutions.

The platform leverages Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and Power BI. As the sole test specialist, you will embed quality engineering into every stage of delivery, acting as the authority on data testing practices.

Key Responsibilities

• Test Ownership & Strategy
• Define and own the overall testing strategy for data pipelines, models, and reporting solutions.
• Establish automated testing frameworks and ensure they are embedded in delivery processes.
• Act as the subject matter expert for data testing, advising engineers and stakeholders.
• Hands-on Testing
• Design and execute test cases across data ingestion, transformation, storage, and presentation layers.
• Implement automated validation for data pipelines (Databricks notebooks, ADF workflows, ADLS layers).
• Validate Power BI dashboards and reports for data accuracy, performance, and usability.
• Perform exploratory, regression, and performance testing as required.
• Quality Assurance
• Set up data quality checks, reconciliation processes, and monitoring.
• Ensure compliance with data security and governance requirements.
• Integrate test execution into CI/CD pipelines to enforce quality gates.
• Collaboration
• Work closely with data engineers to embed testing at source.
• Partner with architects and product owners to define acceptance criteria.
• Represent testing considerations in sprint planning and delivery reviews.

Requirements

Essential Skills & Experience

• Strong track record as a Test Engineer in data engineering or analytics projects.
• Expertise in testing Azure data services: Databricks, ADF, ADLS, and Power BI.
• Proficiency in SQL and data profiling for test design and validation.
• Hands-on experience with test automation frameworks for data (e.g., Python/Pyspark, Great Expectations, Pytest, dbt tests, or equivalent).
• Practical knowledge of CI/CD integration (Azure DevOps, GitHub Actions, or similar).
• Excellent problem-solving skills and the ability to work independently as the sole testing specialist on a delivery team.

Desirable Skills

• Familiarity with public sector delivery frameworks and regulated data environments.
• Experience of data performance testing and monitoring.
• Knowledge of Agile delivery methods and DevOps practices.
• Exposure to Test-Driven Development (TDD) and Behaviour-Driven Development (BDD) practices.
• ISTQB or similar testing certification.

Benefits

Why people choose to grow their careers at UBDS Group

 Professionals choose to grow their careers at UBDS Group for its reputation as a dynamic and forward-thinking organisation that is deeply committed to both innovation and employee development. At UBDS Group, employees are given unique opportunities to work on cutting-edge projects across a diverse range of industries, exposing them to new challenges and learning opportunities that are pivotal for professional growth. The Group’s culture emphasises continuous improvement, offering ample training programs, mentorship, and the chance to gain certifications that enhance their skills and marketability.

 UBDS Group fosters a collaborative environment where creativity and innovation are encouraged, allowing employees to contribute ideas and solutions that have a tangible impact on the company and its clients. This combination of professional development, a culture of innovation, and the opportunity to make meaningful contributions makes UBDS Group an attractive place for those looking to advance their careers and be at the forefront of technological and operational excellence.

Employee Benefits

• Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more
• Private medical cover for you and your spouse/partner, offered via Vitality
• Discretionary bonus based on a blend of personal and company performance
• Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays
• Electric Vehicle leasing with salary sacrifice
• Contributed Pension Scheme
• Death in service cover

About UBDS Group

At UBDS Group our mission is to support entrepreneurs who are setting new standards with technology solutions across cloud services, cybersecurity, data and AI, ensuring that every investment advances our commitment to innovation, making a difference, and creating impactful solutions for organisations and society.

Equal Opportunities

We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Our client is seeking a highly experienced and visionary Lead Data Engineer to spearhead the development and optimization of their big data infrastructure. This senior role is critical for enabling data-driven decision-making across the organization by building and maintaining robust, scalable, and efficient data pipelines. You will be responsible for designing, implementing, and managing our data lakes, data warehouses, and ETL/ELT processes, ensuring data quality, reliability, and accessibility for analytics and machine learning teams.

The ideal candidate will possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, with a minimum of 7 years of professional experience in data engineering. Extensive hands-on experience with distributed big data technologies such as Apache Spark, Hadoop, Kafka, and cloud-based data services (e.g., AWS EMR, Azure Databricks, Google Cloud Dataflow) is essential. Proficiency in SQL and NoSQL databases, as well as strong programming skills in Python or Scala, are required. You should have a deep understanding of data warehousing concepts, data modeling, and ETL/ELT best practices. Experience in designing and implementing robust data governance and data quality frameworks is highly desirable. Strong leadership qualities, with the ability to mentor junior engineers, guide technical strategy, and collaborate effectively with cross-functional teams (data scientists, analysts, business stakeholders), are paramount.

This role offers a unique opportunity to shape the future of data architecture within a dynamic and growing company. You will be instrumental in architecting solutions that handle vast amounts of data, unlock new insights, and drive business value. The position involves a hybrid working model, allowing for flexibility while fostering team collaboration. You will be based in our state-of-the-art offices in London, England, UK , working with cutting-edge technologies and solving complex data challenges. Join a team committed to excellence and innovation in the heart of the tech industry.

Key Responsibilities:

• Design, build, and maintain scalable big data pipelines and infrastructure.
• Develop and optimize ETL/ELT processes for data ingestion and transformation.
• Manage and enhance data lakes and data warehouses.
• Ensure data quality, integrity, and reliability.
• Implement data governance and security best practices.
• Lead and mentor a team of data engineers.
• Collaborate with data scientists and analysts to meet their data needs.
• Evaluate and adopt new data technologies and tools.

Data Engineer - Generative AI & Secure Data Platforms

Hybrid Working | UK-Based | SC Clearance
Up to 60k + Paid Overtime + Bonus + Benefits

Engineer the Future of Secure AI Innovation

Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience?

This is a hands-on opportunity to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data securely and intelligently.

What You'll Be Doing

• Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments
• Collaborate with internal teams to optimise and secure sensitive data-sets
• Ensure compliance with strict data governance and quality standards
• Contribute to the technology roadmap with insights into emerging tools and platforms
• Work across SQL, NoSQL, Python, ETL, and big data ecosystems
• Support projects involving Generative AI, NLP, and OCR

What You'll Bring

• Proven experience in on-prem to cloud data migrations
• Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills
• Expertise in Python, ETL, API integration, and data processing
• Familiarity with Hadoop, Docker, and containerisation technologies
• Knowledge of Generative AI, NLP, or OCR is a plus
• Understanding of data governance and compliance in secure environments
• Eligibility for SC clearance - British citizen

This isn't just a job-it's a chance to engineer secure data solutions that support innovation, resilience, and technological advancement.

Apply now and help shape the future-securely

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Data Management Specialist About the Role

Are you ready to shape the future of data in financial services? We’re looking for a passionate Data Management Specialist to help drive our enterprise-wide data transformation.

In this exciting role, you’ll be at the heart of delivering our Data Strategy, leading on the rollout of Purview, enhancing our Data Management capabilities, supporting the rollout of Microsoft Fabric. You’ll work within a fast-paced, collaborative environment to embed best-in-class data practices and governance across the business.

This is a hybrid role with some presence required at our Bournemouth office. This role is a Fixed Term Contract for 6 months.

About You

Essential:
•Proven experience in data management/governance preferably within Financial Services.
•Hands-on implementation experience with tools like Purview, Collibra, Informatica, or Alation. 
•Solid SQL skills and familiarity with Azure, Fabric, or other cloud platforms.
•Knowledge of data privacy regulations (UK GDPR, Data Protection Act 2018) and ETL processes.

Desirable:
•Purview implementation experience.
•Certifications such as DAMA/CDMP.
•Experience in data remediation, migration, and quality improvement projects.
•Ability to work cross-functionally with IT, compliance, and business teams.

Key Responsibilities
•Spearheading the development of our Data Management roadmap, introducing key capabilities like Metadata Management, Master Data Management, Data Lineage, Business Glossaries, and Data Dictionaries.
•Strengthening our Data Ownership and Stewardship communities and championing our Data Literacy programme.
•Collaborating with the IT communities, Data Office and Data Privacy function to ensure data quality, consistency, and compliance across all business lines.
•Leading the implementation of Purview and supporting the migration to Microsoft Fabric, ensuring sensitive data is protected and risks are mitigated.
•Partner with the Head of Data, Data Governance Lead and Data Quality Lead to build a high-impact Data Governance team.
•Define and implement data management strategies aligned with regulatory frameworks (e.g., GDPR, BCBS 239).
•Act as a technical advisor and coach for our Accountable Executives, Data Owners and Stewards, delivering training and guidance.
•Drive MDM initiatives and collaborate with SCV Engineers to deliver a unified customer view.
•Conduct audits, support data migration, and ensure robust data classification and retention practices.


Rewards & Benefits 
This role is a Band C in the LV= Structure.

At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:
• 30 days' holiday, with the option to buy up to 2 additional days
• Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements)
• An annual bonus scheme based on company and personal performance 
• Single-cover private medical insurance (with the option for you to upgrade to family cover)
• Flexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance
• Up to 20% discount on our life products for you and your immediate family
• A group life assurance policy with 4 x your basic pay to go to your dependents (you’ll have the option to increase to 8 x cover)
• Group Income Protection (if you become a member of the Pension scheme and reach 5 years of service)
• Access to our Employee Assistance Programme (EAP) for support when you need it
• A virtual GP service
• Shared parental leave.

We’re proud of our inclusive culture at LV= and, as an equal-opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.
Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship in order for your application to be considered.

Please note that any successful internal colleagues will be offered a secondment opportunit y.

Bombardier's Business Aircraft London Service Centre in Biggin Hill is part of an award-winning network and is the flagship of Bombardier's European operation. This Base and Line Maintenance Centre is the fastest-growing Service Centre in Europe and the largest Business Aircraft OEM in the UK. The facility has the capabilities to perform an array of maintenance checks, modifications and upgrades all from this site. Only 14 miles from London, Bombardier's Biggin Hill Service Centre is ideally located to support operators in the UK region and beyond.
**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

Senior Data Management Professional - Data Science - Data Management Lab





Location





London





Business Area





Data





Ref #










**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





Location





London





Business Area





Data





Ref #










**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
Location
London
Business Area
Data
Ref #

**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

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.Overview of Resource Management Team:The goal of the team is to provide a “one stop solution” for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.Resource Data ManagementManage cleaning resource data in workday. Run training via the new starter induction and creation of org charts on Kizuna. Creation of headcount reporting data monthly / quarterly / annually.Technology RecruitmentProcess all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. Creation of recruitment and rate reporting.The primary purpose of the Resource Data Management Analyst is to:Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.Key Responsibilities:Lead daily team stand up via teams.Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queriesCreation of weekly reporting to HR to highlight changes. Method for this is excel macros.Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.Co-ordinating with the line managers, HR, procurement and access management regarding JML process.Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.Ensure resource cost data is accurate for reporting into Finance to calculate budgets. Creation of office attendance for contingent workers. Method for this is excel macros.Run the Technology new starter induction, which occurs twice a month.Creation of the Technology organisation chart. Method for this is via Visio.Maintain and enhance good working relationships with the teams stakeholders.Skills and Experience:Technical CapabilityStrong excel skills. Be able to build and run macros and power queries.Strong power BI skills. Be able to build and update reporting in power BI.Strong visio skills. Be able to create workflows and org charts.Strong numerical skills. To aid day-to-day activities.Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.We are open to considering flexible working requests in line with organisational requirements.MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.