74 Cloud Data Engineer jobs in the United Kingdom
Cloud Data Analytics Platform Engineer - VP
Posted 17 days ago
Job Viewed
Job Description
**What You'll Do:**
+ **Architect and Build:** Design and implement a robust, cloud-native data analytics platform spanning AWS, GCP, and other emerging cloud environments. You'll leverage services like S3/GCS, Glue, BigQuery, Pub/Sub, SQS/SNS, MWAA/Composer, and more to create a seamless data experience. **(Required)**
+ **Data Lake , Data Zone, Data Governance:** Design, build, and manage data lakes and data zones within our cloud environment, ensuring data quality, discoverability, and accessibility for various downstream consumers. Implement and maintain enterprise-grade data governance capabilities, integrating with data catalogs and lineage tracking tools to ensure data quality, security, and compliance. **(Required)**
+ **Infrastructure as Code (IaC):** Champion IaC using Terraform, and preferably other tools like Harness, Tekton, or Lightspeed, developing modular patterns and establishing CI/CD pipelines to automate infrastructure management and ensure consistency across our environments. **(Required, with expanded toolset)**
+ **Collaboration and Best Practices:** Work closely with data engineering, information security, and platform teams to define and enforce best practices for data infrastructure, fostering a culture of collaboration and knowledge sharing. **(Required)**
+ **Kubernetes and Orchestration:** Manage and optimize Kubernetes clusters, specifically for running critical data processing workloads using Spark and Airflow. **(Required)**
+ **Cloud Security:** Implement and maintain robust security measures, including cloud networking, IAM, encryption, data isolation, and secure service communication (VPC peering, PrivateLink, PSC/PSA). **(Required) .** Your knowledge of compliance frameworks relevant to cloud data will be invaluable in maintaining a secure and compliant data environment. **(Optional)**
+ **Snowflake and Databricks (Optional, but highly desired):** Leverage your experience with Snowflake and Databricks to enhance our data platform's capabilities and performance. While not mandatory, experience with these technologies is a significant advantage.
+ **Event-Driven Architectures , FinOps and Cost Optimization (Optional):** Contribute to the development of event-driven data pipelines using Kafka and schema registries, enabling real-time data insights and responsiveness. Apply FinOps principles and multi-cloud cost optimization techniques to ensure efficient resource utilization and cost control.
**What You'll Bring:**
+ **Hands-on Engineering Expertise:** You're a builder who enjoys diving into the technical details and getting your hands dirty. You thrive in a fast-paced environment and are eager to make a direct impact.
+ **Experience : 8** - **13** years of relevant experience in Data Engineering & Infrastructure Automation
+ **Cloud Expertise:** Proven hands-on experience with AWS and/or GCP, including a deep understanding of their data analytics service offerings.
+ **Data Lake/Zone/Governance Experience:** Demonstrable experience designing, building, and managing data lakes and data zones. Familiarity with data governance tools and frameworks.
+ **IaC Proficiency:** Solid experience with Terraform and preferably Harness, Tekton, or Lightspeed for CI/CD pipeline management.
+ **Kubernetes Mastery:** Strong command of Kubernetes, especially in the context of data processing workloads.
+ **Security Focus:** A firm grasp of cloud security principles and best practices.
+ **Financial Services Experience:** Experience working in financial services, banking, or on data-related cloud transformation projects within the financial industry. (Highly Desired)
**We offer:**
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
+ 27 days annual leave (plus bank holidays)
+ A discretional annual performance related bonus
+ Private Medical Care & Life Insurance
+ Employee Assistance Program
+ Pension Plan
+ Paid Parental Leave
+ Special discounts for employees, family, and friends
+ Access to an array of learning and development resources
Visit our Global Benefits page to learn more. ( these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
#LI-MK2
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**Job Family Group:**
Technology
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**Job Family:**
Systems & Engineering
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**Time Type:**
Full time
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Senior Data Engineer - Big Data & Cloud
Posted 21 days ago
Job Viewed
Job Description
Responsibilities:
- Design, construct, install, and maintain scalable data pipelines and data warehousing solutions.
- Develop and implement ETL/ELT processes for ingesting, transforming, and loading data from various sources.
- Optimize data storage and processing for performance, reliability, and cost-efficiency on cloud platforms.
- Build and maintain data infrastructure using big data technologies such as Spark, Hadoop, and Kafka.
- Collaborate with data scientists, analysts, and other engineers to understand data needs and deliver solutions.
- Implement data governance, quality, and security best practices.
- Monitor data systems, troubleshoot issues, and implement solutions to ensure high availability.
- Develop and maintain robust data models for analytical purposes.
- Stay current with emerging technologies and trends in data engineering and big data.
- Mentor junior data engineers and contribute to the team's technical growth.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- 5+ years of experience in data engineering, with a focus on big data and cloud environments.
- Proficiency in at least one major cloud platform (AWS, Azure, or GCP) and its data services.
- Strong experience with programming languages like Python, Scala, or Java.
- Expertise in SQL and experience with distributed data processing frameworks (e.g., Apache Spark, Hadoop ecosystem).
- Solid understanding of data warehousing concepts, data modeling, and ETL/ELT design patterns.
- Experience with real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and collaboratively in a remote, fast-paced environment.
- This is a fully remote role, ideal for a skilled Data Engineer located near **Manchester, Greater Manchester, UK**, or elsewhere.
Senior Data Engineer - Big Data & Cloud
Posted 24 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and optimize robust and scalable ETL/ELT data pipelines using cloud-based technologies.
- Implement and manage data warehousing solutions and data lake architectures on platforms like AWS, Azure, or GCP.
- Ensure data quality, integrity, and reliability across all data systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.
- Develop and maintain data models that support business needs and analytical capabilities.
- Automate data processes and implement monitoring solutions to ensure system performance and reliability.
- Optimize data storage and retrieval processes for performance and cost-efficiency.
- Contribute to the development and enforcement of data governance policies and best practices.
- Troubleshoot and resolve complex data-related issues.
- Mentor junior data engineers and contribute to team knowledge sharing.
- Stay current with emerging technologies and trends in big data and data engineering.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Proven experience (5+ years) in data engineering, with a strong focus on building and managing large-scale data pipelines.
- Expertise in at least one major cloud platform (AWS, Azure, GCP) and their data services (e.g., S3, Redshift, BigQuery, Snowflake, Databricks).
- Proficiency in programming languages such as Python, SQL, or Scala.
- Experience with big data technologies like Spark, Hadoop, Kafka, etc.
- Strong understanding of data warehousing concepts, data modeling, and database design.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Excellent problem-solving skills and ability to work with complex datasets.
- Strong communication and collaboration skills, with the ability to translate technical concepts to non-technical stakeholders.
- Ability to work effectively in a hybrid work environment.
Cloud & AI Solution Engineer - Data Platform
Posted 18 days ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As an Innovative Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums.
**Qualifications**
+ Proven technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND few years of technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND a couple years of technical pre-sales or technical consulting experience
+ OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Cloud & AI Solution Engineer - Data Platform
Posted 5 days ago
Job Viewed
Job Description
As an **Innovative Data Platform Solution Engineer (SE)** , you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Support customers in designing and improving their data solutions, helping them to move to the cloud and use new technologies securely and efficiently.
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Take part in practical activities like workshops, demonstrations, and hackathons, gaining experience and building your technical skills.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Contribute ideas and feedback with your team, and help solve technical challenges that matter to communities.
**Qualifications**
Required Qualification:
+ Proven technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND few years of technical pre-sales or technical consulting experience
+ OR equivalent experience
Preferred Qualification:
+ Experience with Microsoft Azure, databases (like SQL, PostgreSQL, or Cosmos DB), or analytics platforms (such as Microsoft Fabric or Databricks)
+ Experience on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Experience on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Cloud & AI Solution Engineer - Data Platform (Public Sector)
Posted 18 days ago
Job Viewed
Job Description
You will be empowering the UK National Security and Defence community through secure, scalable, and innovative data solutions. As a Solution Engineer embedded in the Ministry of Defence ecosystem, you'll be at the forefront of digital transformation-supporting mission-critical workloads across the Army, Navy, RAF, Defence Equipment & Support (DE&S), Strategic Command, and other MoD entities.
This is your chance to work on transformative projects that combine cutting-edge cloud services with real-world impact. You'll be part of a collaborative, creative, and growth-oriented team that thrives on innovation and continuous learning. The Databases & Analytics space represents a major growth opportunity for Microsoft Azure, its partners, and customers-spanning a rich portfolio of IaaS and PaaS services designed for the AI age. These technologies empower customers to build, deploy, and manage data and analytics solutions in a cloud-native way.
As a Solution Engineer (SE), you'll play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll work closely with engineering leaders and platform teams to accelerate adoption of the Azure Databases, Analytics and Purview, through hands-on engagements such as proof of concepts, hackathons, and architecture workshops.
This role offers a unique opportunity to accelerate your career, deepen your business and technical expertise, and become a trusted advisor in solution design and deployment. You'll guide customers through secure, scalable architectures, influence technical decisions, and drive the modernization of their data platforms-realizing the full value of Microsoft's ecosystem while enjoying flexible work opportunities.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ Several years technical pre-sales, technical consulting, or technology delivery, ro regulated environments (e.g. Defence, Intelligence, Government) or related experience
+ Expert in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps OR Equivalent experience.
+ Expert in Azure Analytics (Fabric, Azure Databricks, Purview) OR competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
+ Demonstrated ability to lead technical engagements that drive production-scale outcomes in sensitive or classified domains.
+ Familiarity with MoD infrastructure, including MODNET
+ Experience working with UK Government frameworks and stakeholders (e.g. GDS, DSIT, DE&S).
+ Clearance: The successful candidate must have or be eligible to obtain the Security Check (SC) or Developed Vetting (DV) clearance as issued by the United Kingdom Security Vetting Unit (UKSV). Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Preferred Qualifications:
+ Degree in Computer Science, Information
+ Proven years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
+ Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Lead Software Engineer - Python, Cloud, Data, AIML
Posted 1 day ago
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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Join JPMorgan Chase as a Lead Software Engineer within the Corporate Investment Bank, Markets Research Technology Team. Design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Work on cutting-edge projects, including LLM and GenerativeAI solutions, and help industrialize AI/ML models at production scale.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Investment Bank, Markets Research Technology Team, you will play a crucial role in an agile team, focusing on the design and delivery of secure, stable, and scalable market-leading technology products. Your responsibilities will encompass implementing essential technology solutions across various technical domains to support the firm's business goals. You will participate in innovative projects, including LLM and GenerativeAI solutions, and aid in the industrialization of AI/ML models at a production scale. This position is a hands-on team member contributor engineering role.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, opportunity, inclusion, and respect
- Designs and implements hands-on solutions while providing technical leadership and mentorship to more junior team members
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and proficient advanced experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in Python software engineering
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., Data engineering, ML engineering, Cloud)
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience
- Practical experience with Kubernetes, EKS, Docker, Terraform, MLOps
Preferred qualifications, capabilities, and skills
- Experience developing large-scale Cloud-native data/AI/ML engineering solutions in large corporate environments
- Prior experience collaborating with data scientists, productionizing POCs to industrial scalable solutions
- AWS clod native experience
- Experience with data science/ML modelling
- Familiarity with modern LLM technologies, Vector databases (e.g., OpenSearch), and Knowledge Graph
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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About the latest Cloud data engineer Jobs in United Kingdom !
Junior Cloud Computing Apprentice
Posted 4 days ago
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Cloud Computing Engineer - Trainee
Posted 14 days ago
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Take your first steps towards a new and exciting career in Cloud Computing.
e-Careers is a dynamic and forward-thinking training company that is dedicated to changing lives through innovative training solutions.
The market is facing a severe skills shortage for newly trained AWS Solutions Architects. e-Careers will provide you with the training and certifications before matching you to an employer where you will undergo a remote work experience programme. If successful, our employer will offer you a full-time paid job.
We are looking for motivated and ambitious individuals who may not have any prior experience but have the hunger to start a career in cloud computing.
What the Traineeship Offers:
- 6 months of online, instructor-led training through weekend classes
- Official AWS certifications
- Mentoring and coaching
- Hands-on-labs and practical experience
- Guaranteed remote work experience
The Process
Training -> AWS Certifications -> Work Experience
Who Should Apply
Anyone who is interested in a career in cloud computing, irrespective of prior experience or knowledge, but is willing to go through a training programme prior to being introduced to an employer.
Requirements
- No prior experience or knowledge in IT or cloud computing necessary
- Individuals must be willing to learn through a part-time, online training programme that lasts 6 months before starting work as an AWS Solutions Architect.
- A good grasp of English is essential
Benefits
- Become a qualified AWS Solutions Architect within 6 months
- Guaranteed work experience
- The fastest way to launch a career in cloud computing for individuals who have little to no prior experience
- All training and work experience is done remote / online.