Build and maintain data pipelines that transfer and process data
Design and implement data warehouses and data lakes with proper security
Develop processing and analysis algorithms for the data's complexity and volume
Collaborate with data scientists to build and deploy machine learning models
From the employer’s posting
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Java
MongoDB
Where the posting names them
- Develop and maintain scalable ReactJS-based web applications and reusable UI components for enterprise-grade platforms.
- Design, develop, and support Java Spring Boot microservices, REST APIs, and backend services.
- Strong experience in ReactJS, including component-based architecture, state management, and responsive UI development
- Strong experience in ReactJS, including component-based architecture, state management, and responsive UI development
- Strong hands-on experience with Java and Spring Boot application development.
- Minimum 5+ years of experience in Full Stack Software Development
- Knowledge of Maven, dependency management, and build automation.
- Experience working with MongoDB and database design principles.
- Implement and maintain CI/CD pipelines, deployment automation, and release management processes using GitLab.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
August 17Last week
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.
Analyst Expectations
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
Requires in-depth technical knowledge and experience in their assigned area of expertise
Thorough understanding of the underlying principles and concepts within the area of expertise
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
Will have an impact on the work of related teams within the area.
Partner with other functions and business areas.
Takes responsibility for end results of a team’s operational processing and activities.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Advise and influence decision making within own area of expertise.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Make evaluative judgements based on the analysis of factual information, paying attention to detail.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
Guide and persuade team members and communicate complex / sensitive information.
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us as a Cloud Data Engineer, at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.
To be successful as a Cloud Data Engineer, you should have experience with:
Strong experience in end-to-end testing within Cards Issuing, Payments, or Banking domains, with the ability to validate complex business processes across multiple integrated systems.
Develop and maintain scalable ReactJS-based web applications and reusable UI components for enterprise-grade platforms.
Design, develop, and support Java Spring Boot microservices, REST APIs, and backend services.
Strong experience in ReactJS, including component-based architecture, state management, and responsive UI development
Strong hands-on experience with Java and Spring Boot application development.
Minimum 5+ years of experience in Full Stack Software Development
Some other highly valued skills may include:
Experience in Cards Issuing platforms such as TSYS, Mastercard, Visa, Rewards, Loyalty, or Customer Servicing systems.
Experience working in Agile/Scrum delivery environments.
Strong understanding of the Software Development Lifecycle (SDLC).
Knowledge of Maven, dependency management, and build automation.
Experience working with MongoDB and database design principles.
Implement and maintain CI/CD pipelines, deployment automation, and release management processes using GitLab.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay
No pay amount identified in the saved description.
Location & working pattern
Pune, Gera Commerzone SEZ
Working pattern and location restrictions need checking in the full posting.
Work authorization
Some other highly valued skills may include:
- Experience in Cards Issuing platforms such as TSYS, Mastercard, Visa, Rewards, Loyalty, or Customer Servicing systems.
- Experience working in Agile/Scrum delivery environments.