Explore opportunities in the data sphere with a focus on Snowflake jobs. This search encompasses roles that utilise Snowflake's cloud-based data warehousing platform. Positions may include data engineers, data analysts, and database administrators who are proficient in Snowflake. These roles involve designing, developing, and maintaining data solutions using Snowflake's services. The demand for Snowflake professionals is growing, reflecting the increasing adoption of cloud data solutions. This presents a chance to work with cutting-edge technology and contribute to data-driven decision-making processes. Job seekers can find a range of positions, from entry-level to senior management, within various industries.346 Snowflake jobs in the United Kingdom
Snowflake Engineer
Posted today
Job Viewed
Job Description
Snowflake Data Engineer
Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V)
Transform lives through data and AI
Who we are:
We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI.
The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our clients.
Key Responsibilities
- Lead technical delivery within Kubrick’s squad deployed on client project engagements, ensuring that Kubrick is recognised for the quality and scalability of its solutions
- Translate complex business and data requirements into robust Snowflake designs, including data ingestion, transformation, and consumption layers
- Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding
- Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases
- Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions
- Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s internal knowledge base
- Line-manage and mentor developers within the team, supporting their professional growth and certifications (including SnowPro)
- Troubleshoot and tune query performance, storage usage, and cost efficiency across Snowflake accounts
- Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI)
- Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation
Key Requirements & Technical Experience
- At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions
- Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management
- Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt
- Competence in at least one programming language (Python preferred) for automation.
- Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services
- Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster
- Understanding of CI/CD principles, version control (Git) and software development lifecycle.
- Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers
- Experience in delivery leadership and mentoring junior engineers
- Proven ability to troubleshoot complex data issues, optimise pipelines and ensure data quality and governance are maintained
What Kubrick offers:
A fast moving and fast growth business which is doing something seriously innovative and valuable. We already have a very supportive, diverse and appreciative client base, giving us stable foundations enabling us to keep working to high standards as we continue to grow. We also offer:
- Salary: from £60,000, negotiable dependent on experience + bonus.
- Hybrid: 2-3 days a week in the office
- Friendly and collaborative working environment
- Access to upskilling opportunities and clear progression path
- 25 days of annual leave
- Highstreet discounts and Wellness Hub with confidential well-being and mental health support
- Cycle to work scheme & eye-care vouchers
Our commitment to Diversity, Equity and Inclusion (DEI):
At Kubrick, we not only strive to bridge the skills-gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent.
We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.
We’ve proudly partnered with Women in Data for over six years, providing a community platform for our female and non-binary consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety.
Snowflake Engineer
Posted today
Job Viewed
Job Description
Snowflake Data Engineer
Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V)
Transform lives through data and AI
Who we are:
We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI.
The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our clients.
Key Responsibilities
- Lead technical delivery within Kubrick’s squad deployed on client project engagements, ensuring that Kubrick is recognised for the quality and scalability of its solutions
- Translate complex business and data requirements into robust Snowflake designs, including data ingestion, transformation, and consumption layers
- Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding
- Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases
- Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions
- Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s internal knowledge base
- Line-manage and mentor developers within the team, supporting their professional growth and certifications (including SnowPro)
- Troubleshoot and tune query performance, storage usage, and cost efficiency across Snowflake accounts
- Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI)
- Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation
Key Requirements & Technical Experience
- At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions
- Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management
- Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt
- Competence in at least one programming language (Python preferred) for automation.
- Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services
- Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster
- Understanding of CI/CD principles, version control (Git) and software development lifecycle.
- Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers
- Experience in delivery leadership and mentoring junior engineers
- Proven ability to troubleshoot complex data issues, optimise pipelines and ensure data quality and governance are maintained
What Kubrick offers:
A fast moving and fast growth business which is doing something seriously innovative and valuable. We already have a very supportive, diverse and appreciative client base, giving us stable foundations enabling us to keep working to high standards as we continue to grow. We also offer:
- Salary: from £60,000, negotiable dependent on experience + bonus.
- Hybrid: 2-3 days a week in the office
- Friendly and collaborative working environment
- Access to upskilling opportunities and clear progression path
- 25 days of annual leave
- Highstreet discounts and Wellness Hub with confidential well-being and mental health support
- Cycle to work scheme & eye-care vouchers
Our commitment to Diversity, Equity and Inclusion (DEI):
At Kubrick, we not only strive to bridge the skills-gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent.
We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.
We’ve proudly partnered with Women in Data for over six years, providing a community platform for our female and non-binary consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety.
Snowflake Engineer
Posted today
Job Viewed
Job Description
Snowflake Data Engineer
Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V)
Transform lives through data and AI
Who we are:
We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI.
The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our clients.
Key Responsibilities
- Lead technical delivery within Kubrick’s squad deployed on client project engagements, ensuring that Kubrick is recognised for the quality and scalability of its solutions
- Translate complex business and data requirements into robust Snowflake designs, including data ingestion, transformation, and consumption layers
- Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding
- Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases
- Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions
- Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s internal knowledge base
- Line-manage and mentor developers within the team, supporting their professional growth and certifications (including SnowPro)
- Troubleshoot and tune query performance, storage usage, and cost efficiency across Snowflake accounts
- Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI)
- Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation
Key Requirements & Technical Experience
- At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions
- Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management
- Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt
- Competence in at least one programming language (Python preferred) for automation.
- Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services
- Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster
- Understanding of CI/CD principles, version control (Git) and software development lifecycle.
- Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers
- Experience in delivery leadership and mentoring junior engineers
- Proven ability to troubleshoot complex data issues, optimise pipelines and ensure data quality and governance are maintained
What Kubrick offers:
A fast moving and fast growth business which is doing something seriously innovative and valuable. We already have a very supportive, diverse and appreciative client base, giving us stable foundations enabling us to keep working to high standards as we continue to grow. We also offer:
- Salary: from £60,000, negotiable dependent on experience + bonus.
- Hybrid: 2-3 days a week in the office
- Friendly and collaborative working environment
- Access to upskilling opportunities and clear progression path
- 25 days of annual leave
- Highstreet discounts and Wellness Hub with confidential well-being and mental health support
- Cycle to work scheme & eye-care vouchers
Our commitment to Diversity, Equity and Inclusion (DEI):
At Kubrick, we not only strive to bridge the skills-gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent.
We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.
We’ve proudly partnered with Women in Data for over six years, providing a community platform for our female and non-binary consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety.
Snowflake Engineer
Posted today
Job Viewed
Job Description
Snowflake Data Engineer
Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V)
Transform lives through data and AI
Who we are:
We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI.
The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our clients.
Key Responsibilities
- Lead technical delivery within Kubrick’s squad deployed on client project engagements, ensuring that Kubrick is recognised for the quality and scalability of its solutions
- Translate complex business and data requirements into robust Snowflake designs, including data ingestion, transformation, and consumption layers
- Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding
- Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases
- Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions
- Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s internal knowledge base
- Line-manage and mentor developers within the team, supporting their professional growth and certifications (including SnowPro)
- Troubleshoot and tune query performance, storage usage, and cost efficiency across Snowflake accounts
- Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI)
- Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation
Key Requirements & Technical Experience
- At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions
- Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management
- Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt
- Competence in at least one programming language (Python preferred) for automation.
- Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services
- Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster
- Understanding of CI/CD principles, version control (Git) and software development lifecycle.
- Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers
- Experience in delivery leadership and mentoring junior engineers
- Proven ability to troubleshoot complex data issues, optimise pipelines and ensure data quality and governance are maintained
What Kubrick offers:
A fast moving and fast growth business which is doing something seriously innovative and valuable. We already have a very supportive, diverse and appreciative client base, giving us stable foundations enabling us to keep working to high standards as we continue to grow. We also offer:
- Salary: from £60,000, negotiable dependent on experience + bonus.
- Hybrid: 2-3 days a week in the office
- Friendly and collaborative working environment
- Access to upskilling opportunities and clear progression path
- 25 days of annual leave
- Highstreet discounts and Wellness Hub with confidential well-being and mental health support
- Cycle to work scheme & eye-care vouchers
Our commitment to Diversity, Equity and Inclusion (DEI):
At Kubrick, we not only strive to bridge the skills-gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent.
We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.
We’ve proudly partnered with Women in Data for over six years, providing a community platform for our female and non-binary consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety.
Snowflake Data Engineer
Posted today
Job Viewed
Job Description
- Possess good knowledge in Cloud computing
- Very good working knowledge in data models viz Dimensional Data Model, ER Data Model and Data Vault
- Very good working knowledge in writing SQL queries
- Very good working knowledge in Snowflake Architecture
- Very good working knowledge in Snowflake internals like Snowflake Roles, dynamic tables, streams and tasks, policies etc.
- Very good working experience in data-related projects or applications
- Good working knowledge in GitLab
- Good working knowledge in Python
- Good working knowledge in Data Science and Machine Learning
- Good working knowledge in data management and data governance
- Good working experience in managing product owners and stakeholders
- Very good team player, positive attitude and proactive
- Self-initiator, collaborator and willing to learn new technologies/concepts
Nice to Have:
- Good working knowledge in SQL Server or Oracle or both
- Good working knowledge in investment banking and finance
- Good working knowledge in Statistics
- Good working knowledge in Power BI
- Ability to work in multiple projects
Data Engineer - Snowflake
Posted today
Job Viewed
Job Description
️ Snowflake Data Engineer | Fully remote | Salary: £45,000-£5,000 ️
Peaple Talent have partnered with a leading Travel organisation who are one of the UK’s leading self-catering holiday businesses, offering unique properties through a family of well-known brands. With strong growth, a commitment to sustainability as a certified B Corp, and a focus on quality and community, this is a company where your work truly matters.
Due to exciting growth plans, we are now looking for a selection of Data Engineers to continue the expansion of their established Data team.
What we're looking for:
- Number of years commercial experience in Data Engineering or relevant field
- Strong programming experience Python
- Working knowledge of Snowflake
- Experience with cloud technologies ideally in AWS
What's in it for you:
Salary: £45, 0- 5,000 (potential flex)
Location: Fully remote
00 paid towards a holiday of your choice
Autonomous position with huge development opportunities
Data Engineer - Snowflake
Posted today
Job Viewed
Job Description
️ Snowflake Data Engineer | Fully remote | Salary: £45,000-£5,000 ️
Peaple Talent have partnered with a leading Travel organisation who are one of the UK’s leading self-catering holiday businesses, offering unique properties through a family of well-known brands. With strong growth, a commitment to sustainability as a certified B Corp, and a focus on quality and community, this is a company where your work truly matters.
Due to exciting growth plans, we are now looking for a selection of Data Engineers to continue the expansion of their established Data team.
What we're looking for:
- Number of years commercial experience in Data Engineering or relevant field
- Strong programming experience Python
- Working knowledge of Snowflake
- Experience with cloud technologies ideally in AWS
What's in it for you:
Salary: £45, 0- 5,000 (potential flex)
Location: Fully remote
00 paid towards a holiday of your choice
Autonomous position with huge development opportunities
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Snowflake Data Engineer
Posted 6 days ago
Job Viewed
Job Description
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data & AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.
**What you'll be doing:**
**Primary Responsibilities:**
+ Client Engagement & Delivery
+ Data Pipeline Development (Batch and Streaming)
+ Snowflake & Cloud Data Platforms
+ Data Architecture & Modelling
+ Collaboration & Best Practices
+ Quality, Governance & Security
**Business Relationships:**
+ Solution Architects
+ Data Engineers, Developers, ML Engineers and Analysts
+ Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
**What experience you'll bring:**
**Competencies / Critical Skills:**
+ Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
+ Strong consulting values with ability to collaborate effectively in client-facing environments.
+ Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
+ Strong problem-solving, analytical, and communication skills.
+ Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.
**Technical Expertise:**
+ Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
+ Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
+ Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
+ Hands-on experience with cloud platforms (AWS, Azure, GCP).
+ Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
+ Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
+ Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
+ Understanding of data governance, security, and compliance frameworks.
+ Exposure to AI/ML workloads desirable.
**Experience, Qualifications, and Education:**
+ Experience: Minimum 5-8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
+ Education: University degree required.
+ Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
+ Snowflake certifications (SnowPro Core, Advanced) highly desirable.
**Measures of Success:**
+ Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
+ High client satisfaction and successful adoption of Snowflake-based solutions.
+ Demonstrated ability to innovate and improve data engineering practices.
+ Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.
**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.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
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Snowflake Solution Architect
Posted 6 days ago
Job Viewed
Job Description
We are seeking an accomplished and highly skilled Snowflake Solution Architect to join our Data & AI practice. The successful candidate will bring deep expertise in designing and implementing Snowflake-based cloud data platforms that are scalable, secure, and business-aligned. This individual will play a pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Snowflake's capabilities to enable data democratisation, advanced analytics, and AI-driven insights.
As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Snowflake strategies, design robust architectures, and implement best practices. You will thrive in a fast-evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain at the forefront of data innovation.
**What you'll be doing:**
**Primary Responsibilities:**
+ Client Engagement & Delivery
+ Solution Design & Implementation
+ Migration & Modernisation
+ Thought Leadership & Knowledge Sharing
+ Collaboration & Leadership
**Business Relationships:**
+ Client Partners
+ Practice Leaders and Members
+ Peer-level relationships within client organisations up to Head of Data Engineering, Head of Data Architecture, and Chief Data Architect level
**What experience you'll bring:**
**Must-Have Competencies:**
+ 8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record
+ Technical leadership at scale - Leading 15+ person cross-functional teams and serving as technical escalation point for C-level stakeholders
+ Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing
+ Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels
+ Snowflake platform expertise - Deep hands-on experience with Snowflake architecture, data sharing, Snowpark, performance tuning, and cloud ecosystem integration
**Must be eligible for SC clearance**
**Nice to Have:**
+ Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities
+ Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management
+ AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures
+ Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing
+ Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code
**Experience & Qualifications:**
+ Experience: Minimum 7-10 years in data architecture, engineering, or consulting roles, with at least 3+ years in Snowflake solution architecture.
+ Education: University degree required.
+ Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable.
**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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Snowflake Specialist Data Engineer
Posted today
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Job Description
Senior Data Engineer
London based (Hybrid working 2-3 days a week)
6 months contract
£550 to 700 per day (Umbrella)
iO Associates are working with a Snowflake Partner Consulting firm, who are looking for a Senior Data Engineer to support on some of their key Snowflake projects, to better serve and deliver valuable data products to their customers.
The right candidate will be well versed in Snowflake (including Snowpro certifications) as a Data Engineer, with strong SQL and Python skills, as well as tools such as dbt and Airflow. Additional skills in
The successful candidate should have the following skills:
- Extensive hands-on experience with Snowflake data platform.
- Proficiency in SQL and ETL/ELT processes.
- Strong programming skills in Python.
- Extended skills across AWS, Azure, dbt, Airflow etc.
Could this be of interest? If so, please get in touch with Alex at iO Associates.
On this occasion, we cannot accept applications from candidates outside of the UK, nor from those without existing right to work in the UK.