125 Senior Azure Data Engineer Bas London jobs in London

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) .

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) .

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) .

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) .

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) .

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.
+ **Cloud Expertise:** Proven hands-on experience with AWS and/or GCP, including a deep understanding of their data analytics service offerings.
+ **Data Lake/Zone Experience:** Demonstrable experience designing, building, and managing data lakes and data zones.
+ **IaC Proficiency:** Solid experience with Terraform and preferably Harness, Tekton, or Lightspeed for CI/CD pipeline management.
+ **Data Governance Acumen:** Familiarity with data governance tools and frameworks.
+ **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.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centres offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience
We offer:
Regular and frequent promotion and progression opportunities to ensure you can drive and develop your career with us
Feedback and checkpoints throughout the year; no one off annual reviews here
A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications
Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
A culture where your ideas for growth and innovation are always welcome
Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, 1 month paid paternity leave, 16 weeks fully paid maternity leave and an innovative maternity returners scheme
More traditional benefits, such as 25 days holiday, a gym discount scheme, online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
A data engineer with expertise in Azure toolset advises on, develops, and maintains data engineering solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala.
**Required technical and professional expertise**
* Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies.
* Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks).
* Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka).
* Strong understanding of SQL and NoSQL databases, data modeling, and ETL/ELT processes.
* Proficiency in at least one programming language (Python, C#, Java).
* Experience with CI/CD pipelines and tools (Azure DevOps, Jenkins).
* Knowledge of data governance and data quality principles.
* Excellent problem-solving abilities and a customer-centric approach.
* Strong communication and team collaboration skills.
As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
* Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar.
* Experience with data visualization tools (Power BI, Tableau).
* Familiarity with Agile development methodologies.
* Contribution to open-source projects or community involvement.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**The team you'll be working with:**
As part of our continuous growth, we are seeking a Salesforce Data Cloud Specialist to join our Salesforce Practice in London. This role will play a key part in driving data driven innovations, providing data-driven insights and enabling data-driven decision-making for our enterprise customers.
**What you'll be doing:**
+ Serve as the Subject Matter Expert (SME) for Salesforce Data Cloud within NTTDATA UK, offering expert guidance on platform capabilities, use cases, cost estimation, and best practices.
+ Collaborate with Salesforce product teams and domain experts to identify opportunities for innovation and future growth leveraging Data Cloud platform.
+ Lead the design and implementation of Salesforce Data Cloud solutions for enterprise clients, ensuring alignment with both business objectives and technical requirements.
+ Architect and manage complex data models and system integrations to facilitate seamless data flow across multiple platforms and systems.
+ Provide technical leadership throughout the project lifecycle, from requirements gathering to final solution delivery, ensuring adherence to best practices.
+ Conduct workshops and technical training sessions to promote knowledge sharing and skill development within the team.
+ Stay informed about Salesforce Data Cloud advancements and industry trends to continually drive innovation and keep our practice at the forefront.
**What experience you'll bring:**
+ Proven experience as a Salesforce Data Cloud Specialist, with in-depth knowledge of Data Cloud components, such as Data Streams, Unified Data Model, Transformations/Insights, Identity Resolution, Segmentation, and Activations.
+ Hands-on experience with at least two full lifecycle Salesforce Data Cloud implementations.
+ Expert-level understanding of data architecture, data flows, and data integration best practices within Salesforce Data Cloud and the broader Salesforce ecosystem.
+ Salesforce Data Cloud Consultant certification is required.
+ Strong experience with APIs and third-party integrations, including REST, SOAP, and other protocols.
+ Proficiency in ETL tools, data migration, and data cleansing methodologies.
+ Moderate to advanced SQL skills, with experience writing complex queries.
+ Experience integrating with cloud-based data warehouses/data lakes (e.g., Snowflake, AWS, Databricks, Big Query) and data analytics tools (e.g., Tableau).
+ Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
+ Ability to thrive in a fast-paced, collaborative environment focused on delivering exceptional solutions.
+ Experience with additional Salesforce products like Sales Cloud, Service Cloud, Marketing Cloud, Marketing Personalization, Loyalty Management, and Commerce Cloud will be good to have.
+ Additional Salesforce certifications are desirable, including Marketing Cloud Consultant, Integration Architect, AI Associate, or AI Specialist.
+ Familiarity with cloud platforms such as AWS, Azure, and Google Cloud.
+ Knowledge of data security and compliance best practices in cloud-based environments.
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
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Minimum qualifications:
+ Bachelor's degree or equivalent practical experience.
+ 6 years of experience with cloud native architecture in a customer-facing technical or support role, with demonstrated success.
+ Experience with Big Data concepts.
+ Experience leading technical proof-of-concept engagements and providing technical support for bid responses and request for information/request for proposal (RFI/RFP) processes.
+ Experience with machine learning platforms (e.g., Vertex AI), Machine Learning operations principles, model development, deployment, and of generative AI concepts and applications.
Preferred qualifications:
+ Experience with architecture design, implementing, tuning, schema design, design technical architectures, customer requirements and query optimization of scalable and distributed systems.
+ Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
+ Experience with aspects of cloud computing (infrastructure, storage, platforms and data), technical business, data analytics, or Big Data and the cloud market, competitive dynamics and customer buying behavior.
+ Ability to design and optimize solutions using leading data warehousing (e.g., BigQuery), data lake (e.g., Dataplex), and real-time analytics technologies.
In this role, you will leverage the technical ability in data platforms, machine learning, and artificial intelligence to engage directly with customers. You will uncover their critical business and technical requirements, then design and present practical solutions built on Google Cloud. You will work with our Business team and will introduce prospective customers to the transformative power of Google Cloud's Data and AI services, including BigQuery, Vertex AI, Dataproc, and more. You will also explain technical features, demonstrate their real-world impact, and expertly problem-solve any potential roadblocks, ensuring customers understand how our platform can revolutionize their data strategy and unlock new AI-aspiring capabilities.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
+ Work with the team to identify and qualify business opportunities, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
+ Share in-depth data analytics skills to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
+ Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
+ Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
+ Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and Request for Information (RFI) responses.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: