72 Hr Databases jobs in the United Kingdom

We are Lightsource bp - and we're on a mission to become a global leader in onshore renewables, anchored by our proven track record in solar development.
For over a decade we've been actively working to diversify the way our world is powered with sustainable and responsible renewable power. We work to safely deliver affordable, reliable, large-scale onshore renewable and energy storage solutions to help the world decarbonise.
Our growing business is constantly innovating and investing to help drive the energy transition. Our people and projects are focused on supporting long-term sustainable growth and energy security.
Lightsource bp operates with five core values: **Safety** , **Integrity** , **Respect** , **Sustainability** , and **Drive** . We seek to attract and hire individuals who share our commitment to creating a safe workplace, uphold the highest standards of integrity, and demonstrate respect for colleagues, communities, and the environment. Our recruitment process promotes sustainability by valuing long-term growth and responsible practices, while seeking candidates with the drive to innovate and lead in the global energy transition. Together, these values shape how we engage, assess, and welcome talent to join us in delivering transformational solar power solutions worldwide.
Lightsource bp was fully acquired by bp in 2024.
**What you will do**
We are seeking a detail-oriented and analytical HR Reporting and Management Information (MI) Specialist to join our Human Resources team. This role is crucial for delivering accurate and actionable insights that drive strategic decision-making across the organization. You will be responsible for developing and maintaining HR reports, analyzing workforce data, and providing meaningful insights to improve operational efficiency, employee engagement, and organizational effectiveness. Expertise in Power BI, SuccessFactors Reporting are essential for this role, with knowledge of SuccessFactors Administration considered a strong advantage.
**DUTIES AND RESPONSIBILITIES**
HR Reporting
- Design, develop, and maintain HR dashboards and self-service reports using SuccessFactors Reporting, ensuring data accuracy and compliance with company policies and legal requirements.
- Generate regular and ad-hoc reports to meet business needs, providing insights into key HR metrics such as headcount, attrition, diversity, performance, and engagement.
- Present data in clear, actionable formats to support strategic planning and decision-making by HR leadership and other stakeholders.
Data Analysis and Insights
- Analyze workforce data to identify trends, patterns, and anomalies that impact organizational performance.
- Provide data-driven recommendations to improve HR processes, optimize workforce planning, and enhance the employee experience.
- Develop, distribute and discuss key HR metrics and provide early warnings for potential risks, such as rising attrition or low engagement scores.
HR Systems and Tools Management
- Collaborate with HRIS administrators to ensure data integrity and system optimization.
- Support the implementation, optimization, and integration of new reporting tools and systems, with a focus on SuccessFactors.
- Troubleshoot reporting-related issues and identify opportunities for process improvement.
Compliance and Governance
- Ensure all reporting and data analysis comply with internal standards, data protection regulations (e.g., GDPR), and legal requirements.
- Maintain accurate documentation of reporting processes, data definitions, and methodologies.
Collaboration and Stakeholder Engagement
- Work closely with HR leaders, finance teams, and other departments to understand reporting requirements and deliver tailored solutions.
- Act as a subject matter expert (SME) on SuccessFactors Reporting and HR data, providing training and support to HR colleagues and other stakeholders as needed.
Continuous Improvement
- Identify opportunities to automate reporting processes and improve data visualization techniques.
- Stay updated on industry trends, best practices, and advancements in HR analytics and reporting.
- Benchmark organizational performance against industry standards to inform strategic initiatives.
**Who are we looking for**
KNOWLEDGE& EXPERIENCE
- 3-5 years of experience in HR reporting, analytics, or a similar role.
- Proven expertise in SuccessFactors Reporting is required.
- Knowledge of SuccessFactors Administration is a strong advantage.
- Advanced proficiency in Microsoft Excel and Power BI.
- Strong understanding of HR processes, metrics, and systems (e.g., HRIS, ATS, LMS).
- Exceptional analytical skills, with the ability to interpret complex data sets and deliver actionable insights.
- Familiarity with Microsoft PowerApps and Microsoft Power Automate.
- Excellent attention to detail and a commitment to data accuracy and integrity.
- Knowledge of data protection laws and compliance requirements.
- Strong communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
- A proactive approach to problem-solving and process improvement.
- Able to work independently with minimum supervision with keen and dynamic approach
to innovation.
QUALIFICATIONS
- Bachelor's degree in Human Resources, Business Analytics, Statistics, Psychology or a related field.
**What do we offer and why you will want to work for us**
Our company is a place where you can be yourself and grow - a place where your ideas and opinions matter.
Be you
We pride ourselves on being an inclusive community, where every individual is valued and treated with respect.
Be responsible
Our culture is driven by our core values. From operating safely to ensuring our solar projects are responsible and promote biodiversity.
Be recognized
Alongside a competitive salary, we offer a variety of benefits including annual bonus, health insurance and other local benefits.
Be inspired
Beyond your day-to-day working life at Lightsource bp, there's a variety of initiatives that will contribute to your own personal development. Initiatives to get involved with including our charitable causes, supporting our solar honey project or our sustainability initiatives.
Our Core Values
Lightsource bp truly cares about creating a sustainable future through safe, responsible and meaningful low carbon energy projects. Our core values of Safety, Integrity, Respect, Sustainability and Drive are the guiding principles for everything we do.

Director of Data Architecture

Location: London (Hybrid Working)

Job Type: Permanent

Salary: Up to £140,000 + Bonus

We have an exciting opportunity for a Director of Data Architecture to join a leading consultancy and play a pivotal role as the number two leader within their growing Data Practice. This is a high-impact leadership role requiring a blend of strategic pre-sales expertise, client engagement, and team leadership to drive large-scale data transformation programmes across multiple industries.

As a Director of Data Architecture , you’ll lead end-to-end bid and pre-sales efforts, shaping enterprise-level data solutions, building consensus between sales and delivery teams, and ensuring financial alignment. You’ll act as a trusted advisor to clients, presenting at senior levels, while also driving internal practice development, mentoring senior data architects, and managing other Directors within the practice.

Key Skills & Expertise:

• Proven experience as a Data Architecture Leader or Director
• Extensive expertise in bids and pre-sales, including end-to-end solution design, pricing, and delivery alignment
• Ability to bridge the gap between sales and delivery, balancing cost, risk, and solution integrity
• Strong experience presenting to C-level stakeholders and leading complex client engagements
• Demonstrated success in practice development, coaching and managing senior architects and cross-functional teams
• Strong consulting background within large-scale data transformation programmes
• Previous experience within top-tier consulting firms, systems integrators, or data-driven organisations highly desirable

You’ll Enjoy:

• 20% annual bonus
• £5,000 car allowance
• High-level exposure across enterprise-scale client programmes
• Opportunity to influence and shape a growing, high-performing data practice
• Hybrid working, with a London base required for regular client and leadership engagements

If you’re an experienced Director of Data Architecture with strong pre-sales expertise, client leadership skills, and practice development experience, this is your opportunity to join a fast-growing consultancy at the forefront of data-driven transformation.

To apply, contact Declan Bryson at Anson McCade on or email , quoting reference AMC/DB/DDA/09 .

Director of Data Architecture

Location: London (Hybrid Working)

Job Type: Permanent

Salary: Up to £140,000 + Bonus

We have an exciting opportunity for a Director of Data Architecture to join a leading consultancy and play a pivotal role as the number two leader within their growing Data Practice. This is a high-impact leadership role requiring a blend of strategic pre-sales expertise, client engagement, and team leadership to drive large-scale data transformation programmes across multiple industries.

As a Director of Data Architecture , you’ll lead end-to-end bid and pre-sales efforts, shaping enterprise-level data solutions, building consensus between sales and delivery teams, and ensuring financial alignment. You’ll act as a trusted advisor to clients, presenting at senior levels, while also driving internal practice development, mentoring senior data architects, and managing other Directors within the practice.

Key Skills & Expertise:

• Proven experience as a Data Architecture Leader or Director
• Extensive expertise in bids and pre-sales, including end-to-end solution design, pricing, and delivery alignment
• Ability to bridge the gap between sales and delivery, balancing cost, risk, and solution integrity
• Strong experience presenting to C-level stakeholders and leading complex client engagements
• Demonstrated success in practice development, coaching and managing senior architects and cross-functional teams
• Strong consulting background within large-scale data transformation programmes
• Previous experience within top-tier consulting firms, systems integrators, or data-driven organisations highly desirable

You’ll Enjoy:

• 20% annual bonus
• £5,000 car allowance
• High-level exposure across enterprise-scale client programmes
• Opportunity to influence and shape a growing, high-performing data practice
• Hybrid working, with a London base required for regular client and leadership engagements

If you’re an experienced Director of Data Architecture with strong pre-sales expertise, client leadership skills, and practice development experience, this is your opportunity to join a fast-growing consultancy at the forefront of data-driven transformation.

To apply, contact Declan Bryson at Anson McCade on or email , quoting reference AMC/DB/DDA/09 .

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