111 Data Integration jobs in the United Kingdom

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving real transformational change within our clients.  We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data and business applications.  We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals.

About the role:

As a Data Integration Engineer at Sword, you’ll be at the heart of our mission to leverage data and technology to solve business problems. You will play a critical role in integrating diverse data sources, ensuring clean, high-quality data, and designing workflows that enable seamless data management. You will be at the forefront of developing customer integrations, playing a key role in setting the standards for integration processes as the company scales. This role is highly collaborative, offering you the chance to work directly with clients to gather requirements and implement new data solutions.

You will also have the opportunity to engage with senior stakeholders, contribute to cutting-edge projects, and use your technical expertise to shape data-driven transformations within high-profile sectors like Energy, Renewables, and beyond.

As the Data Integration Engineer, you will:

• Manage and integrate data from multiple internal and external sources, ensuring data quality and consistency throughout.
• Build and optimize workflows using FME to streamline ETL processes and validate data integrity.
• Leverage Azure and cloud-based technologies to create scalable data management solutions.
• Collaborate with business stakeholders to understand data requirements, helping translate business needs into technical solutions.
• Support data-driven projects, working closely with cross-functional teams to ensure seamless integration and availability of business-critical data.
• Provide technical expertise in data management, governance, and engineering, ensuring compliance with best practices.
• Participate in solution design, data strategy discussions, and requirements gathering with senior stakeholders and clients.
• Guide junior team members, offering mentorship and knowledge sharing on best practices in data integration and engineering.

Requirements

What You’ll Bring:

• Proven experience in a Data Engineering role, with expertise in developing and maintaining data integrations across various external systems.
• Experience in data modeling, visualization, and ETL pipelines.
• Proficiency in FME for building and managing workflows.
• Experience with the Azure platform, particularly in deploying and managing cloud data solutions.
• Knowledge of SQL for querying and managing databases.
• Comfortable in a client-facing role, with excellent communication skills to clearly convey technical information to diverse audiences.
• A proactive, problem-solving mindset with strong attention to detail.

It would be great if you also had…

While not essential, it would be a bonus if you bring any of the following skills or experience. Don’t worry if you don’t tick every box – we’re more interested in your potential and willingness to grow with us!

• Knowledge of Azure AI Search or experience with AI-powered search capabilities.
• Experience with Power BI, Databricks, or Power Platform.
• Familiarity with ArcGIS or other GIS tools.

Benefits

At Sword, our core values and culture are based on caring about our people, investing in training and career development and building inclusive teams where we are all encouraged to contribute to achieve success.

We offer comprehensive benefits designed to support your professional development and enhance your overall quality of life.

In addition to a Competitive Salary , here's what you can expect as part of our benefits package:

Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth.

Flexible working: Flexible work arrangements to support your work-life balance.  We can’t promise to always be able to meet every request, however are keen to discuss your individual preferences to make it work where we can.

A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well-being, and insurance schemes, an employee assistance programme, discounted cash plan and more….

At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement.  If you don’t tick all the boxes but feel you have some of the relevant skills and experience we’re looking for, please do consider applying and highlight your transferable skills and experience.  We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. Your perspective and potential are important to us.

If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.

#LI-PD1

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving real transformational change within our clients.  We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data and business applications.  We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals.

About the role:

As a Data Integration Engineer at Sword, you’ll be at the heart of our mission to leverage data and technology to solve business problems. You will play a critical role in integrating diverse data sources, ensuring clean, high-quality data, and designing workflows that enable seamless data management. You will be at the forefront of developing customer integrations, playing a key role in setting the standards for integration processes as the company scales. This role is highly collaborative, offering you the chance to work directly with clients to gather requirements and implement new data solutions.

You will also have the opportunity to engage with senior stakeholders, contribute to cutting-edge projects, and use your technical expertise to shape data-driven transformations within high-profile sectors like Energy, Renewables, and beyond.

As the Data Integration Engineer, you will:

• Manage and integrate data from multiple internal and external sources, ensuring data quality and consistency throughout.
• Build and optimize workflows using FME to streamline ETL processes and validate data integrity.
• Leverage Azure and cloud-based technologies to create scalable data management solutions.
• Collaborate with business stakeholders to understand data requirements, helping translate business needs into technical solutions.
• Support data-driven projects, working closely with cross-functional teams to ensure seamless integration and availability of business-critical data.
• Provide technical expertise in data management, governance, and engineering, ensuring compliance with best practices.
• Participate in solution design, data strategy discussions, and requirements gathering with senior stakeholders and clients.
• Guide junior team members, offering mentorship and knowledge sharing on best practices in data integration and engineering.

Requirements

What You’ll Bring:

• Proven experience in a Data Engineering role, with expertise in developing and maintaining data integrations across various external systems.
• Experience in data modeling, visualization, and ETL pipelines.
• Proficiency in FME for building and managing workflows.
• Experience with the Azure platform, particularly in deploying and managing cloud data solutions.
• Knowledge of SQL for querying and managing databases.
• Comfortable in a client-facing role, with excellent communication skills to clearly convey technical information to diverse audiences.
• A proactive, problem-solving mindset with strong attention to detail.

It would be great if you also had…

While not essential, it would be a bonus if you bring any of the following skills or experience. Don’t worry if you don’t tick every box – we’re more interested in your potential and willingness to grow with us!

• Knowledge of Azure AI Search or experience with AI-powered search capabilities.
• Experience with Power BI, Databricks, or Power Platform.
• Familiarity with ArcGIS or other GIS tools.

Benefits

At Sword, our core values and culture are based on caring about our people, investing in training and career development and building inclusive teams where we are all encouraged to contribute to achieve success.

We offer comprehensive benefits designed to support your professional development and enhance your overall quality of life.

In addition to a Competitive Salary , here's what you can expect as part of our benefits package:

Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth.

Flexible working: Flexible work arrangements to support your work-life balance.  We can’t promise to always be able to meet every request, however are keen to discuss your individual preferences to make it work where we can.

A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well-being, and insurance schemes, an employee assistance programme, discounted cash plan and more….

At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement.  If you don’t tick all the boxes but feel you have some of the relevant skills and experience we’re looking for, please do consider applying and highlight your transferable skills and experience.  We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. Your perspective and potential are important to us.

If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.

#LI-PD1

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving real transformational change within our clients.  We use proven technology, specialist teams and domain expertise to build solid technical foundations across platforms, data and business applications.  We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals.

About the role:

As a Data Integration Engineer at Sword, you’ll be at the heart of our mission to leverage data and technology to solve business problems. You will play a critical role in integrating diverse data sources, ensuring clean, high-quality data, and designing workflows that enable seamless data management. You will be at the forefront of developing customer integrations, playing a key role in setting the standards for integration processes as the company scales. This role is highly collaborative, offering you the chance to work directly with clients to gather requirements and implement new data solutions.

You will also have the opportunity to engage with senior stakeholders, contribute to cutting-edge projects, and use your technical expertise to shape data-driven transformations within high-profile sectors like Energy, Renewables, and beyond.

As the Data Integration Engineer, you will:

• Manage and integrate data from multiple internal and external sources, ensuring data quality and consistency throughout.
• Build and optimize workflows using FME to streamline ETL processes and validate data integrity.
• Leverage Azure and cloud-based technologies to create scalable data management solutions.
• Collaborate with business stakeholders to understand data requirements, helping translate business needs into technical solutions.
• Support data-driven projects, working closely with cross-functional teams to ensure seamless integration and availability of business-critical data.
• Provide technical expertise in data management, governance, and engineering, ensuring compliance with best practices.
• Participate in solution design, data strategy discussions, and requirements gathering with senior stakeholders and clients.
• Guide junior team members, offering mentorship and knowledge sharing on best practices in data integration and engineering.

Requirements

What You’ll Bring:

• Proven experience in a Data Engineering role, with expertise in developing and maintaining data integrations across various external systems.
• Experience in data modeling, visualization, and ETL pipelines.
• Proficiency in FME for building and managing workflows.
• Experience with the Azure platform, particularly in deploying and managing cloud data solutions.
• Knowledge of SQL for querying and managing databases.
• Comfortable in a client-facing role, with excellent communication skills to clearly convey technical information to diverse audiences.
• A proactive, problem-solving mindset with strong attention to detail.

It would be great if you also had…

While not essential, it would be a bonus if you bring any of the following skills or experience. Don’t worry if you don’t tick every box – we’re more interested in your potential and willingness to grow with us!

• Knowledge of Azure AI Search or experience with AI-powered search capabilities.
• Experience with Power BI, Databricks, or Power Platform.
• Familiarity with ArcGIS or other GIS tools.

Benefits

At Sword, our core values and culture are based on caring about our people, investing in training and career development and building inclusive teams where we are all encouraged to contribute to achieve success.

We offer comprehensive benefits designed to support your professional development and enhance your overall quality of life.

In addition to a Competitive Salary , here's what you can expect as part of our benefits package:

Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth.

Flexible working: Flexible work arrangements to support your work-life balance.  We can’t promise to always be able to meet every request, however are keen to discuss your individual preferences to make it work where we can.

A Fantastic Benefits Package: This includes generous annual leave allowance, enhanced family friendly benefits, pension scheme, access to private health, well-being, and insurance schemes, an employee assistance programme, discounted cash plan and more….

At Sword we are dedicated to fostering a diverse and inclusive workplace and are proud to be an equal opportunities employer, ensuring that all applicants receive fair and equal consideration for employment, regardless of whether they meet every requirement.  If you don’t tick all the boxes but feel you have some of the relevant skills and experience we’re looking for, please do consider applying and highlight your transferable skills and experience.  We embrace diversity in all its forms, valuing individuals regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity status, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. Your perspective and potential are important to us.

If we can do anything to help make the hiring process more accessible, please let our talent acquisition team know when you apply so we can support any adjustments.

#LI-PD1

Our client, , is rebuilding a major customer options/configurator platform, the system that lets buyers choose upgrades and finishes for their new products. The current platform works well on the front end but suffers from a complex, inconsistent data structure at the back end.

This project will modernise that platform from the ground up ensuring data is structured correctly, flows seamlessly into core business systems, and supports future analytics.

The Role

SF Technology is supporting the search for a Data Mapping & Integration Analyst to sit between the business, the application development team, and the data function.

This is not a developer role, it’s a hands-on data design and mapping position, focused on how data is captured, structured, and shared across systems. You’ll unpick the current state, define the to-be data model, and ensure the rebuild is grounded in solid data architecture from day one.

Key Responsibilities

• Analyse and document as-is data structures (JSON, SQL) from the legacy configurator application.
• Design and define the to-be data model, capturing key entities, relationships, and integration points.
• Develop and maintain detailed source-to-target mappings to guide migration and system build.
• Collaborate with developers, solution architects, and business SMEs to ensure alignment between functional and data requirements.
• Identify and resolve data consistency and lineage issues early in the project lifecycle.
• Produce clear documentation, data dictionaries, ERDs, and mapping artefacts, for ongoing reference.

Ideal Experience

• Proven experience delivering data mapping, migration, or application rebuild projects.
• Skilled in SQL (for profiling and validation) and comfortable working with JSON or semi-structured data.
• Strong background in data modelling, logical/physical design and entity relationship mapping.
• Excellent communication skills, able to translate between technical and business teams.
• Experience with ERP, CPQ, or product/pricing systems (retail, manufacturing, construction, or utilities preferred).
• Understanding of integration and data flow between operational and analytical systems.

Contract Details

• Day Rate: £510 per day
• IR35 Status: Outside IR35
• Duration: 6–12 months
• Location: Hybrid – Midlands

Our client, , is rebuilding a major customer options/configurator platform, the system that lets buyers choose upgrades and finishes for their new products. The current platform works well on the front end but suffers from a complex, inconsistent data structure at the back end.

This project will modernise that platform from the ground up ensuring data is structured correctly, flows seamlessly into core business systems, and supports future analytics.

The Role

SF Technology is supporting the search for a Data Mapping & Integration Analyst to sit between the business, the application development team, and the data function.

This is not a developer role, it’s a hands-on data design and mapping position, focused on how data is captured, structured, and shared across systems. You’ll unpick the current state, define the to-be data model, and ensure the rebuild is grounded in solid data architecture from day one.

Key Responsibilities

• Analyse and document as-is data structures (JSON, SQL) from the legacy configurator application.
• Design and define the to-be data model, capturing key entities, relationships, and integration points.
• Develop and maintain detailed source-to-target mappings to guide migration and system build.
• Collaborate with developers, solution architects, and business SMEs to ensure alignment between functional and data requirements.
• Identify and resolve data consistency and lineage issues early in the project lifecycle.
• Produce clear documentation, data dictionaries, ERDs, and mapping artefacts, for ongoing reference.

Ideal Experience

• Proven experience delivering data mapping, migration, or application rebuild projects.
• Skilled in SQL (for profiling and validation) and comfortable working with JSON or semi-structured data.
• Strong background in data modelling, logical/physical design and entity relationship mapping.
• Excellent communication skills, able to translate between technical and business teams.
• Experience with ERP, CPQ, or product/pricing systems (retail, manufacturing, construction, or utilities preferred).
• Understanding of integration and data flow between operational and analytical systems.

Contract Details

• Day Rate: £510 per day
• IR35 Status: Outside IR35
• Duration: 6–12 months
• Location: Hybrid – Midlands

Help shape the future of data and digital transformation.

Are you a strategic data leader with deep expertise in Azure, Databricks, and Power BI? Join our Enterprise Data Analytics team and help drive Charles River Laboratories’ digital transformation to accelerate the development of life-saving therapies.

As the Director of Data Engineering, you’ll lead a high-performing team (5–7 direct reports) responsible for building, scaling, and optimizing our enterprise data platforms. Working fully remotely, you’ll design strategies and solutions that enable actionable insights across our global organization.

What You’ll Do

• Develop and execute the enterprise data engineering strategy aligned with business goals.
• Architect and oversee scalable, secure data platforms using Microsoft Azure (Data Factory, Databricks, Data Lake, Event Hubs).
• Lead the design and implementation of data pipelines supporting large-scale ingestion, transformation, and real-time analytics.
• Build and mentor a team of skilled engineers, fostering a culture of innovation and collaboration.
• Partner with Data Science, Analytics, and IT to deliver integrated data products and dashboards using Power BI and semantic models.
• Champion best practices for data governance, compliance, and operational excellence.

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field.
• Proven experience leading and scaling high-performing data engineering teams.
• Strong knowledge of Azure Data Stack, Databricks, ETL/ELT pipelines, and data warehousing.
• Expertise in database architecture, SQL, and data modeling.
• Experience with enterprise platforms such as Salesforce or SAP.
• Agile or iterative project management experience.
• Excellent communication and stakeholder management skills.

Preferred:

• Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Professional Data Engineer).
• Experience in regulated industries (healthcare, life sciences, or financial services).

Why Join Us

At Charles River, you’ll be part of a purpose-driven organization dedicated to improving global health. We are transforming the way we work through data, technology, and innovation. Together, we create healthier lives.

Job Title: Data Engineering Manager

Job Type: Full Time, Permanent

Location: London, Hybrid

Role Purpose

At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven.

The data engineering manager (DEM ) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a wide range of data integrations.

Main Responsibilities:

Leadership & Strategy

• Work with the Director of Data Engineering and IT Leadership to enhance the company's data maturity.
• Maintain strong business alignment by engaging with leaders across domains and geographies.
• Ensure data engineering initiatives match evolving business priorities.
• Promote a product mindset, balancing technical efficiency with clear business value.

Team Management

• Lead the Data Engineering team, providing supervision, coaching, and professional development.
• Work with the Data Delivery Manager to improve team productivity and velocity.
• Oversee planning sessions, standups, retros, and team meetings.
• Define and deliver technical goals & OKRs in collaboration with the teams.

Technical Leadership

• Own the architecture of the company's data platform, ensuring scalability, reliability, and security.
• Drive modernisation by transitioning from legacy systems to a lean, scalable platform.
• Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks.
• Establish best practices for data modelling, ingestion, storage, streaming, and APIs.

Governance & Standards

• Ensure all technical decisions are well-justified, documented, and aligned with business needs.
• Lead reviews and approvals for Data Engineering, Data Science, and Data Visualization projects via data architecture review board.
• Promote best practices in data governance, security, data protection, and risk management.

Operational Excellence

• Oversee monitoring of live data products and lead response to data incidents.
• Drive improvements in data quality, working with data owners and managers.
• Collaborate with engineering teams to ensure seamless system integration.
• Advocate for reducing technical debt while balancing resource constraints.

Innovation & Continuous Improvement

• Stay updated with industry trends and recommend relevant technologies.
• Lead analysis, assessment, and design activities, influencing key decisions.
• Foster collaboration with data analysts and data scientists to develop impactful data products.

Requirements – Skills and Experience

To qualify for the DEM role, experience and skills from the list below are required.

Essential:

• Strong leadership: An inspirational leader, engaging team player, and curious listener.
• Excellent problem-solving skills with experience in complex data products.
• Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage.
• Significant hands-on experience with AWS and its data services.
• Expert-level skills in SQL, Python, DBT, Airflow and Redshift.
• Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying.
• Ability to guide and mentor others in technical best practices.
• A product mindset, focusing on user needs when designing deliverables.
• Experience in designing technology solutions with complex end-to-end data flows.
• Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance.

Preferred:

• Experience with Databricks
• Understanding of how data platforms interact with marketing and customer engagement platforms.
• Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks.
• Good understanding of security and data protection best practices.
• Familiarity with compliance and regulations, such as GDPR, PCI and FCA.
• The flexibility to adjust your delivery approach to business needs, including mixing elements of Kanban, Scrum, Lean and our own custom practices.
• The passion to stay up-to-date with the latest advancements in your field, exploring new tools and methodologies.
• The curiosity to understand the business, its requirements and culture.
• Your own unique style or way of working, which will make our team diverse and original.

Why Travelex?

To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on.

Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of several digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce, and international payments.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Title: Data Engineering Manager

Job Type: Full Time, Permanent

Location: London, Hybrid

Role Purpose

At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven.

The data engineering manager (DEM ) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a wide range of data integrations.

Main Responsibilities:

Leadership & Strategy

• Work with the Director of Data Engineering and IT Leadership to enhance the company's data maturity.
• Maintain strong business alignment by engaging with leaders across domains and geographies.
• Ensure data engineering initiatives match evolving business priorities.
• Promote a product mindset, balancing technical efficiency with clear business value.

Team Management

• Lead the Data Engineering team, providing supervision, coaching, and professional development.
• Work with the Data Delivery Manager to improve team productivity and velocity.
• Oversee planning sessions, standups, retros, and team meetings.
• Define and deliver technical goals & OKRs in collaboration with the teams.

Technical Leadership

• Own the architecture of the company's data platform, ensuring scalability, reliability, and security.
• Drive modernisation by transitioning from legacy systems to a lean, scalable platform.
• Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks.
• Establish best practices for data modelling, ingestion, storage, streaming, and APIs.

Governance & Standards

• Ensure all technical decisions are well-justified, documented, and aligned with business needs.
• Lead reviews and approvals for Data Engineering, Data Science, and Data Visualization projects via data architecture review board.
• Promote best practices in data governance, security, data protection, and risk management.

Operational Excellence

• Oversee monitoring of live data products and lead response to data incidents.
• Drive improvements in data quality, working with data owners and managers.
• Collaborate with engineering teams to ensure seamless system integration.
• Advocate for reducing technical debt while balancing resource constraints.

Innovation & Continuous Improvement

• Stay updated with industry trends and recommend relevant technologies.
• Lead analysis, assessment, and design activities, influencing key decisions.
• Foster collaboration with data analysts and data scientists to develop impactful data products.

Requirements – Skills and Experience

To qualify for the DEM role, experience and skills from the list below are required.

Essential:

• Strong leadership: An inspirational leader, engaging team player, and curious listener.
• Excellent problem-solving skills with experience in complex data products.
• Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage.
• Significant hands-on experience with AWS and its data services.
• Expert-level skills in SQL, Python, DBT, Airflow and Redshift.
• Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying.
• Ability to guide and mentor others in technical best practices.
• A product mindset, focusing on user needs when designing deliverables.
• Experience in designing technology solutions with complex end-to-end data flows.
• Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance.

Preferred:

• Experience with Databricks
• Understanding of how data platforms interact with marketing and customer engagement platforms.
• Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks.
• Good understanding of security and data protection best practices.
• Familiarity with compliance and regulations, such as GDPR, PCI and FCA.
• The flexibility to adjust your delivery approach to business needs, including mixing elements of Kanban, Scrum, Lean and our own custom practices.
• The passion to stay up-to-date with the latest advancements in your field, exploring new tools and methodologies.
• The curiosity to understand the business, its requirements and culture.
• Your own unique style or way of working, which will make our team diverse and original.

Why Travelex?

To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on.

Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of several digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce, and international payments.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

A leading Financial Services client in the City of London is now seeking an experienced Data Engineering Manager to join on a permanent basis. This role is offering a base of £85,000 + a strong benefits package and flexible working.

The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture.

To be considered for this role you will need the following:

• Experience designing, improving and maintaining robust data pipelines
• Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java, is beneficial
• Possesses a strong understanding of Snowflake - beneficial
• Experience managing small teams of Data Engineers
• Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps
• Experience working in fast-paced Agile environments
• Creativity and curiosity for solving complex problems.

If you are an experienced Data Engineering Manager with the required skills, please respond with an up-to-date version of your CV for review.