93 Postgresql jobs in the United Kingdom
PostgreSQL SRE
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PostgreSQL SRE
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Senior PostgreSQL SRE
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Senior PostgreSQL SRE
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Database Administrator (PostgreSQL)
Posted 3 days ago
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Join Edenred Paytech as a PostgreSQL DBA
Location: UK-based | Type: Full-time | Cloud-first, innovation-driven
Edenred Paytech is on a mission to transform how we manage data—securely, scalably, and smartly. As we accelerate our cloud adoption journey, we’re looking for a PostgreSQL Database Administrator to help modernise our database estate and lead high-impact migrations from Oracle to Amazon Aurora PostgreSQL.
This is a hands-on, high-visibility role for someone who thrives in fast-paced environments, brings deep technical expertise, and enjoys collaborating across architecture, development, and DevOps teams. If you're passionate about PostgreSQL and cloud-native solutions, this is your opportunity to shape the future of data infrastructure at a leading fintech.
What You’ll Do
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Manage and optimise PostgreSQL databases hosted on Amazon Aurora, ensuring performance, scalability, and resilience
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Support the migration of mission-critical Oracle workloads to Aurora PostgreSQL, applying best practices for performance and reliability
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Work across multi-engine environments including Oracle (on-prem Exadata and AWS RDS), MySQL, MariaDB, and SQL Server within AWS
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Design and implement schemas, partitioning strategies, indexing, and replication for high-throughput systems
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Enforce security standards aligned with PCI DSS and regulatory frameworks—user management, encryption, auditing
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Ensure availability and recovery through robust backup strategies, disaster recovery planning, and HA configurations
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Deploy monitoring and diagnostics using advanced tooling to troubleshoot and resolve complex issues in real time
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Collaborate cross-functionally with DevOps, developers, and architects to align database infrastructure with business goals
What You Bring
Essential Skills
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Proven experience as a PostgreSQL DBA in production environments (Aurora PostgreSQL preferred)
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Strong track record of migrating Oracle workloads to PostgreSQL, including performance tuning and schema redesign
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Deep understanding of PostgreSQL internals—MVCC, vacuuming, replication, clustering, indexing
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Expertise in query optimisation, performance tuning, and troubleshooting
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Hands-on experience with AWS services: EC2, S3, VPC, IAM
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Solid grasp of database security principles and compliance frameworks
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Experience implementing robust backup and recovery strategies
Desirable Extras
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Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
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Experience with monitoring platforms such as CloudWatch, Datadog, or similar
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Knowledge of replication tooling like AWS DMS or Oracle GoldenGate
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Exposure to CI/CD integration and DevOps collaboration for database automation
Why Edenred Paytech?
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Be part of a cloud-first transformation using cutting-edge technologies
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Work in a collaborative, agile environment where your expertise shapes real outcomes
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Enjoy a culture that values innovation, ownership, and continuous learning
Ready to energise your career and make your mark in cloud-native data engineering? Apply now and help us build the future of fintech—powered by PostgreSQL.
Mid Level Database Developer PostgreSQL Inside IR35
Posted 1 day ago
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Healthcare Sector Contract Type: Inside IR35 £400pd Start Date: 20/10/2025 End Date: 20/04/2026 Location: Fully Remote (UK-based candidates only)
Role Overview
We are seeking Mid-Level PostgreSQL Database Developers to join the team and support the upgrade and deployment of cloud infrastructure for a key healthcare system, preparing for an upcom.
WHJS1_UKTJ
Data Management Specialist
Posted 2 days ago
Job Viewed
Job Description
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.
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.
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Data Management Intern

Posted 24 days ago
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**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
Posted 18 days ago
Job Viewed
Job Description
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
Posted 18 days ago
Job Viewed
Job Description
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