152 Data Integration jobs in the United Kingdom

Data Integration Engineer - Investment Banking

My client, a top-tier investment bank, is seeking a Data Integration Engineer to join their growing data team. This is a hands-on engineering role focused on PL/SQL , Databricks , and Azure-based data lakehouse environments . You'll play a key role in building and maintaining robust ETL pipelines , supporting data migration efforts, and collaborating closely with DBAs and Technical Leads .

While prior experience in banking or regulatory reporting is a plus, it's not a requirement.

Key Skills & Experience:

Essential:

• Strong hands-on experience with PL/SQL and T-SQL
• Proven expertise in Databricks (on-prem and cloud)
• Solid background in ETL development , data pipelines , and data migration
• Familiarity with Azure Storage and Data Lakehouse architecture
• Experience with SQL Server and Oracle databases
• Proficiency with ETL tools such as SSIS , DataStage , or Alteryx
• Strong collaboration skills with DBAs and Tech Leads
• Excellent problem-solving and communication abilities

Desirable:

• Exposure to AQR Reporting for the ECB
• Experience with middleware technologies (Kafka, IIB, MQ)
• Background in banking or regulatory reporting

If this sounds like the right fit for you, please apply with your updated CV. We look forward to hearing from you!

Data Integration Engineer - Investment Banking

My client, a top-tier investment bank, is seeking a Data Integration Engineer to join their growing data team. This is a hands-on engineering role focused on PL/SQL , Databricks , and Azure-based data lakehouse environments . You'll play a key role in building and maintaining robust ETL pipelines , supporting data migration efforts, and collaborating closely with DBAs and Technical Leads .

While prior experience in banking or regulatory reporting is a plus, it's not a requirement.

Key Skills & Experience:

Essential:

• Strong hands-on experience with PL/SQL and T-SQL
• Proven expertise in Databricks (on-prem and cloud)
• Solid background in ETL development , data pipelines , and data migration
• Familiarity with Azure Storage and Data Lakehouse architecture
• Experience with SQL Server and Oracle databases
• Proficiency with ETL tools such as SSIS , DataStage , or Alteryx
• Strong collaboration skills with DBAs and Tech Leads
• Excellent problem-solving and communication abilities

Desirable:

• Exposure to AQR Reporting for the ECB
• Experience with middleware technologies (Kafka, IIB, MQ)
• Background in banking or regulatory reporting

If this sounds like the right fit for you, please apply with your updated CV. We look forward to hearing from you!

SC Cleared Data Integration Engineer

Bristol or London (2 days per week onsite)

Up to 745 per day (Umbrella, Inside IR35)

Must hold live and transferrable SC Clearance used within the last 12 months

About the Role

We're looking for a highly skilled Software Engineer / Data Integration Specialist to join a mission-critical programme, ensuring data and services move seamlessly, securely, and efficiently across systems. This role blends backend software engineering with data integration expertise, offering the chance to work on high-impact projects within a collaborative, technically advanced environment.

Key Responsibilities

• Integration Development - Design, build, and maintain integrations between internal systems and third-party platforms via APIs and related technologies.
• Data Pipeline Engineering - Create scalable, reliable pipelines to ingest, transform, and deliver data across multiple environments.
• Collaboration - Work closely with software engineers, DevOps, and product teams to translate integration requirements into effective solutions.
• Troubleshooting & Optimisation - Resolve integration challenges including data mismatches, authentication issues, and performance bottlenecks.
• Documentation - Produce clear documentation for integration workflows, processes, and architecture.
• Monitoring & Maintenance - Implement robust logging, alerting, and performance monitoring for integrations.
• Continuous Improvement - Champion enhancements to integration architectures and best practices.

Skills & Experience Required

• Experience with workflow orchestration tools (e.g., Apache Airflow).
• Proven track record in backend development (e.g., Node.js, Python, Java).
• Strong knowledge of API design, integration methods (REST, Webhooks, GraphQL), and authentication protocols (OAuth2, JWT).
• Experience with ETL/ELT tools and frameworks.
• Solid database skills (SQL and/or NoSQL).
• AWS cloud platform experience, particularly in integration services.
• Strong debugging, problem-solving, and communication abilities.
• Comfortable in agile environments and familiar with CI/CD and DevOps practices.
• Understanding of data security, privacy, and compliance (e.g., GDPR).

Apply Now

Bring your software engineering and data integration expertise to a role where your work will make a measurable impact on secure, data-driven systems.

Data Integration Manager

Contract Type: Permanent

About the Role

We're looking for an experienced Data Integration Manager to take ownership of how data moves, integrates, and performs across our business. This is a strategic role that sits at the intersection of technology, operations, and business value, ensuring our financial, commercial, and operational data flows are reliable, accurate, and enabl.

WHJS1_UKTJ

• Developing T SQL scripts and stored procedures for importing/exporting data
• Building and maintaining data interfaces between internal systems and third part
• Troubleshooting issues in data flows (eg, failures, delays, formatting problem

Job title:
Data integration/SQL developer

Location:
Milton Keynes (Hybrid - approx. 2 days/month on-site)

Salary:
£35,000 - £45,000 + benefits

Short description:
Join a fast-growing software company as a Data Integration Developer, working on SQL-based solutions to connect platforms that power the education sector.

Long description:
Are you passionate about clean data and high-quality integrations? Do you enjoy turning technical specs into seamless SQL interfaces? If so, we want to hear from you.
This is a great opportunity to join a growing technology provider that delivers critical software across the education sector. you'll work in a hybrid capacity, designing and building integrations between internal platforms and third-party systems.
This is a highly collaborative role, sitting within a close-knit Professional Services team, where you'll work closely with consultants and technical stakeholders. you'll have ownership over the integration life cycle - from requirements through to delivery and support.

What you'll be doing:

• Developing T SQL scripts and stored procedures for importing/exporting data
• Building and maintaining data interfaces between internal systems and third parties
• Documenting technical specifications, mapping logic, and integration requirements
• Troubleshooting issues in data flows (eg, failures, delays, formatting problems)
• Ensuring data quality, performance, and security are maintained to best practice standards

What we re looking for:

• Proficiency in Microsoft SQL Server (T SQL, stored procedures, views)
• Experience developing data integrations using structured data (CSV, XML, JSON etc.)
• Familiarity with secure file transfer methods (eg, SFTP)
• Strong attention to detail and confidence writing clear technical documentation
• Ability to communicate with both technical and non-technical stakeholders

Nice to have:

• Experience working with student systems or within the education sector
• Exposure to REST APIs or web-based integrations
• Familiarity with task scheduling tools (eg, SQL Agent)
• Awareness of data protection principles and handling of personal data

Why apply?

• Join a stable, scaling tech business with a strong mission
• Hybrid working with approx. 2 days/month in Milton Keynes
• Excellent culture and team collaboration
• Clear progression opportunities and investment in professional development
• Work on meaningful projects used across major education institutions

Work pattern & flexibility:
This role offers hybrid working, with around two days per week in the Milton Keynes office. you'll have flexibility in working hours and location, with a strong emphasis on output over time spent online.

Application support:
We believe in a fair and inclusive hiring process. If you would benefit from any reasonable adjustments in your application or interview process, we d be happy to support you.

Ready to apply?
Click apply or get in touch to learn more. If you don't have a CV ready, that's no problem - we can support with that later.

We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age.
We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.

Senior Data Management Professional - Data Engineering





Location





London





Business Area





Data





Ref #










**Description & Requirements**



Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.



**Our Team:**



The Bloomberg Data AI group brings innovative AI technologies into Bloombergu2019s Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloombergu2019s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloombergu2019s offerings.



**What's the Role?**



A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.



The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.



**Weu2019ll trust you to:**


Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.



**Youu2019ll need to have:**



*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 bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.



**Weu2019d Love to See:**


DAMA CDMP or DCAM certifications.
Keen interest and familiarity with generative AI frameworks.
Understanding of the importance of high quality annotations.
Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.



Does this sound like you?



Apply if you think we're a good match. We'll get in touch to let you know next steps!

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 Engineering





Location





London





Business Area





Data





Ref #










**Description & Requirements**



Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.



**Our Team:**



The Bloomberg Data AI group brings innovative AI technologies into Bloombergu2019s Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloombergu2019s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloombergu2019s offerings.



**What's the Role?**



A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.



The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.



**Weu2019ll trust you to:**


Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.



**Youu2019ll need to have:**



*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 bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.



**Weu2019d Love to See:**


DAMA CDMP or DCAM certifications.
Keen interest and familiarity with generative AI frameworks.
Understanding of the importance of high quality annotations.
Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.



Does this sound like you?



Apply if you think we're a good match. We'll get in touch to let you know next steps!

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 Engineering
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
+ Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You'll need to have:**
*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 bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
+ Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
+ Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
+ Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
+ Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
**We'd Love to See:**
+ DAMA CDMP or DCAM certifications.
+ Keen interest and familiarity with generative AI frameworks.
+ Understanding of the importance of high quality annotations.
+ Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
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

Data Engineer - Hybrid (Central Birmingham) - 50,000 - 55,000 + great benefits

I'm looking for an experienced Data Engineer for a leading, national business. They are looking for someone who is keen to get involved in companywide, data focused projects working with modern data tools. They need someone who is an all-rounder, able to work as part of a team but also independently at times.

You'll be joining an established team in the middle of a companywide digital transformation. They are working to move to Snowflake environment, changing the way data is used across the business. You'll be building pipelines to support reporting tools and involved in a wide range of hands-on work.

As they Data Engineer, you'll be :

• Building and maintaining data pipelines (ETL/ELT) for Snowflake.
• Working with large datasets and integrating data from APIs, CSV files, and SQL Server.
• Supporting reporting tools like Power BI and SSRS.
• Helping design and maintain a scalable data warehouse.
• Collaborating with other teams to improve how data is stored, processed, and used.
• Supporting data governance and privacy efforts.
• Translating technical ideas into clear, practical solutions.

What we need from the successful Data Engineer:

• At least 3 years of experience in a Data Engineering role.
• Solid experience with Snowflake and Azure.
• Strong SQL skills and experience building ETL processes.
• Comfortable working with complex data flows and models.
• Someone who enjoys working with others and sharing ideas.

Benefits for the Data Engineer:

• Opportunities to learn and grow through training.
• 28 days holiday + bank holiday
• Health and wellbeing support, including free GP access and a health cash plan.
• Enhanced maternity pay and family-friendly benefits.
• Discounts on gym memberships, car leasing, and mortgage services.
• Pension scheme and employee savings programmes.
• Access to a Health Toolkit with fitness, nutrition, and health resources.

If you are interested in this position please click 'apply'.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.