510 Cloud Data Engineer jobs in the United Kingdom

Senior Cloud Data Engineer

London, London £95 - £115 Hourly Pontoon

Posted 4 days ago

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Job Description

contract

Role: Senior Cloud Data Engineer

Location: London, 3 days per week on site required

Duration: 6-month contract

Rate: Via umbrella



About the Client

Join a global leader in financial technology and payments innovation , powering millions of transactions every day across the world. This organisation is at the forefront of digital transformation in payments, driving innovation and building secure, scalable solutions that shape the future of commerce. Their culture is collaborative, forward-thinking, and dynamic, offering an environment where talented individuals can make a real impact.



The Opportunity

As a Senior Cloud Data Engineer , you will be joining the Data Platform Team , a core function that underpins mission-critical infrastructure for the business. You'll play a key role in designing and developing solutions that ensure stability, scalability, and compliance across global systems. This is an exciting opportunity to deliver high-impact work at the heart of the payments industry.



Key Responsibilities

  • Collaborate with stakeholders to define business and technical requirements.

  • Design and implement scalable data workflows and lifecycle management solutions.

  • Ensure data quality, security, compliance, and retention policies are upheld.

  • Support encryption, archiving, and audit readiness.

  • Promote best practices and knowledge sharing across the team.

  • Continuously explore new tools and technologies to strengthen the platform.



What You Bring

  • Strong SQL skills and in-depth knowledge of Oracle database architecture.

  • Proficiency in PL/SQL, with experience in partitioning and indexing.

  • Expertise in Python (primary language) and shell scripting.

  • Background in high-volume, distributed processing systems.

  • Familiarity with DevOps tools such as GitHub Actions or Jenkins.

  • Solid grounding in modern engineering principles and full-stack development.

Bonus Skills: Airflow, Kafka/Kafka Connect, Delta Lake, JSON/XML/Parquet/YAML, cloud-based data services.



Why Apply?

  • Work for a global payments innovator shaping the future of commerce.

  • Join a highly skilled, collaborative, and forward-thinking data team.

  • Access opportunities for growth, learning, and leadership.

  • Thrive in a culture that values inclusivity, innovation, and impact.

Candidates will ideally show evidence of the above in their CV to be considered please click the "apply" button.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

This advertiser has chosen not to accept applicants from your region.

Google Cloud Data Engineer

London, London £55000 - £75000 Annually Tenth Revolution Group

Posted 9 days ago

Job Viewed

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Job Description

permanent

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office.

This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. You'll be joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement.

Key responsibilities will include:

  • Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery
  • Collaborate with stakeholders to understand data needs and ensure smooth transition and integration
  • Become the internal GCP subject matter expert, with direct support from Google
  • Contribute to the adoption of AI and emerging technologies post-migration
  • Thrive in a fast-evolving environment with minimal legacy constraints

Requirements :

  • Proven experience as a Data Engineer.
  • Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud).
  • Strong knowledge of GCP, including BigQuery.
  • Experience in Financial Services is desirable but not essential
  • Exposure to AI technologies is a plus
  • Excellent communication and stakeholder management skills
  • Comfortable working in a dynamic, unstructured environment

Benefits:

  • Salary up to 75,000 depending on experience
  • Performance-related bonus
  • Unlimited holidays
  • Contributory pension scheme
  • Private healthcare

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group . For a confidential discussion about this role or your job search, contact (url removed) .

This advertiser has chosen not to accept applicants from your region.

Google Cloud Data Engineer

London, London £55000 - £75000 Annually Tenth Revolution Group

Posted 15 days ago

Job Viewed

Tap Again To Close

Job Description

permanent

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office.

This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. You'll be joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement.

Key responsibilities will include:

  • Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery
  • Collaborate with stakeholders to understand data needs and ensure smooth transition and integration
  • Become the internal GCP subject matter expert, with direct support from Google
  • Contribute to the adoption of AI and emerging technologies post-migration
  • Thrive in a fast-evolving environment with minimal legacy constraints

Requirements :

  • Proven experience as a Data Engineer.
  • Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud).
  • Strong knowledge of GCP, including BigQuery.
  • Experience in Financial Services is desirable but not essential
  • Exposure to AI technologies is a plus
  • Excellent communication and stakeholder management skills
  • Comfortable working in a dynamic, unstructured environment

Benefits:

  • Salary up to 75,000 depending on experience
  • Performance-related bonus
  • Unlimited holidays
  • Contributory pension scheme
  • Private healthcare

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group . For a confidential discussion about this role or your job search, contact (url removed) .

This advertiser has chosen not to accept applicants from your region.

Google Cloud Data Engineer

London, London £55000 - £75000 Annually Tenth Revolution Group

Posted 15 days ago

Job Viewed

Tap Again To Close

Job Description

permanent

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office.

This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. You'll be joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement.

Key responsibilities will include:

  • Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery
  • Collaborate with stakeholders to understand data needs and ensure smooth transition and integration
  • Become the internal GCP subject matter expert, with direct support from Google
  • Contribute to the adoption of AI and emerging technologies post-migration
  • Thrive in a fast-evolving environment with minimal legacy constraints

Requirements :

  • Proven experience as a Data Engineer.
  • Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud).
  • Strong knowledge of GCP, including BigQuery.
  • Experience in Financial Services is desirable but not essential
  • Exposure to AI technologies is a plus
  • Excellent communication and stakeholder management skills
  • Comfortable working in a dynamic, unstructured environment

Benefits:

  • Salary up to 75,000 depending on experience
  • Performance-related bonus
  • Unlimited holidays
  • Contributory pension scheme
  • Private healthcare

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group . For a confidential discussion about this role or your job search, contact (url removed) .

This advertiser has chosen not to accept applicants from your region.

Cloud Data Analytics Platform Engineer - AVP

London, London Citigroup

Posted 4 days ago

Job Viewed

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Job Description

Join our rapidly expanding team as a **hands-on** Cloud Data Analytics Platform Engineer and play a pivotal role in shaping the future of data at Citi. We're building a cutting-edge, multi-cloud data analytics platform that empowers our users with secure, scalable, and efficient data insights. This role sits at the intersection of infrastructure, data engineering, and architecture, offering a unique opportunity to work with the latest cloud-native technologies and influence our data strategy. This is a hands-on role requiring deep technical skills and a passion for building and optimizing data platforms.
**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 : 5-8** 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.
This advertiser has chosen not to accept applicants from your region.

Cloud & AI Solution Engineer - Data Platform

London, London Microsoft Corporation

Posted 3 days ago

Job Viewed

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Job Description

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for **commercial customers** at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
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**
**Required Qualifications (RQs)**
+ Technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND 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.
+ Experience managing global engagements withing a global team.
**Preferred Qualifications (PQs)**
+ Technical pre-sales, technical consulting, or technology delivery, or related experience
+ OR equivalent experience
+ 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 ( .
This advertiser has chosen not to accept applicants from your region.

Cloud & AI Solution Engineer - Data Platform

London, London Microsoft Corporation

Posted 5 days ago

Job Viewed

Tap Again To Close

Job Description

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a **Cloud & AI Solution Engineer** in **Data Platform** for **enterprise customers** at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
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 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 ( .
This advertiser has chosen not to accept applicants from your region.
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About the latest Cloud data engineer Jobs in United Kingdom !

Data Engineer - Google Cloud - Insurance

London, London £55000 - £75000 Annually Tenth Revolution Group

Posted 9 days ago

Job Viewed

Tap Again To Close

Job Description

permanent

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office.

This is a modern, digitally native business with no legacy systems-a rare opportunity to work in a clean, forward-thinking tech environment. You'll be joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement.

Key responsibilities will include:

Key Responsibilities:

  • Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery
  • Collaborate with stakeholders to understand data needs and ensure smooth transition and integration
  • Become the internal GCP subject matter expert, with direct support from Google
  • Contribute to the adoption of AI and emerging technologies post-migration
  • Thrive in a fast-evolving environment with minimal legacy constraints

Requirements :

  • Proven experience as a Data Engineer.
  • Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud).
  • Strong knowledge of GCP, including BigQuery.
  • Experience in Financial Services is desirable but not essential
  • Exposure to AI technologies is a plus
  • Excellent communication and stakeholder management skills
  • Comfortable working in a dynamic, unstructured environment

Benefits:

  • Salary up to 75,000 depending on experience
  • Performance-related bonus
  • Unlimited holidays
  • Contributory pension scheme
  • Private healthcare

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group . For a confidential discussion about this role or your job search, contact (url removed) .

This advertiser has chosen not to accept applicants from your region.

Data Engineer - Google Cloud - Insurance

London, London £55000 - £75000 Annually Tenth Revolution Group

Posted 15 days ago

Job Viewed

Tap Again To Close

Job Description

permanent

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office.

This is a modern, digitally native business with no legacy systems-a rare opportunity to work in a clean, forward-thinking tech environment. You'll be joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement.

Key responsibilities will include:

Key Responsibilities:

  • Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery
  • Collaborate with stakeholders to understand data needs and ensure smooth transition and integration
  • Become the internal GCP subject matter expert, with direct support from Google
  • Contribute to the adoption of AI and emerging technologies post-migration
  • Thrive in a fast-evolving environment with minimal legacy constraints

Requirements :

  • Proven experience as a Data Engineer.
  • Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud).
  • Strong knowledge of GCP, including BigQuery.
  • Experience in Financial Services is desirable but not essential
  • Exposure to AI technologies is a plus
  • Excellent communication and stakeholder management skills
  • Comfortable working in a dynamic, unstructured environment

Benefits:

  • Salary up to 75,000 depending on experience
  • Performance-related bonus
  • Unlimited holidays
  • Contributory pension scheme
  • Private healthcare

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group . For a confidential discussion about this role or your job search, contact (url removed) .

This advertiser has chosen not to accept applicants from your region.

Cloud & AI Solution Engineer u2013 Data Platform

London, London Microsoft Corporation

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for **commercial customers** at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.



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 Microsoftu2019s cloud database and analytics stack across every stage of deployment. Youu2019ll 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. Youu2019ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, youu2019ll help customers modernize their data platform and realize the full value of Microsoftu2019s platform, all while enjoying flexible work opportunities.



As a trusted technical advisor, youu2019ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, youu2019ll help customers modernize their data platform and realize the full value of Microsoftu2019s platform.



Microsoftu2019s 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 engagementsu2014hackathons and architecture workshopsu2014to accelerate adoption of Microsoftu2019s 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**



**Required Qualifications (RQs)**


Technical pre-sales or technical consulting experience
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND technical pre-sales or technical consulting experience
OR Master's Degree in Computer Science, Information Technology, or related field AND 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.
Experience managing global engagements withing a global team.



**Preferred Qualifications (PQs)**


Technical pre-sales, technical consulting, or technology delivery, or related experience
OR equivalent experience
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 ( .
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