101 to 125 of 502 Permanent Snowflake Jobs

Aurora, and Airflow). Proficiency in CI/CD tools like Jenkins, Terraform, or similar automation tools. Strong SQL skills with hands-on experience using data platforms such as Snowflake, Databricks, Spark, Presto, and EMR. Experience with monitoring tools like Datadog, Prometheus, Grafana, and ELK stack. Demonstrated ability to troubleshoot and resolve complex technical issues. Excellent communication and collaboration skills More ❯

Aurora, and Airflow). Proficiency in CI/CD tools like Jenkins, Terraform, or similar automation tools. Strong SQL skills with hands-on experience using data platforms such as Snowflake, Databricks, Spark, Presto, and EMR. Experience with monitoring tools like Datadog, Prometheus, Grafana, and ELK stack. Demonstrated ability to troubleshoot and resolve complex technical issues. Excellent communication and collaboration skills More ❯

What you'll be doing: NTT DATA are looking for a Lead Data Solutions Architect to work within a dynamic, remote-first data architectural capability to deliver cloud based data solutions using best-in-class RDBMS, ETL/ELT, and More ❯

A large Financial Services company are looking for a Data Engineer with Snowflake experience to join their growing Data Engineering team in London - this is a permanent role with hybrid working arrangements, with 2 days per week in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand … new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on delivering end-to-end solutions and, as a more Senior member of the team, you will mentor Junior colleagues, take ownership of projects, and … a start-up mentality with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex More ❯

Senior Data Consultant (Snowflake/Matillion) Department: Data Engineering Employment Type: Full Time Location: Remote, UK Reporting To: Mark Todkill Compensation: £50,000 - £80,000/year Description We're looking for ambitious Senior Data Consultants to join our Delivery team; a thriving and fast-growing community of some of the industry's best cloud data engineers, ranging from interns … initiatives. Establishing thought leadership , writing blogs, publishing articles, and presenting at external events. What you'll need to succeed Expertise in data warehousing, cloud analytics, and modern data architectures (Snowflake, Databricks, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders , providing strategic guidance and technical leadership. Strong consulting and client management experience , with a track More ❯

to join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business … experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

to join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business … experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

considered. Key Responsibilities: Oversee and lead the design and implementation of ETL/ELT processes to ingest data from the new ERP system into Snowflake. Architect and develop the Snowflake data warehouse to support reporting and analytics, incorporating existing SQL Server-based business logic, while optimizing for performance, scalability, and usability. Collaborate closely with business users to understand, qualify, design … and Supplier Management: Providing high-quality service management and external vendor oversight. Key Skills & Experience: Essential: Experience with ETL/ELT tools (Matillion preferred) Proficiency with SQL Server and Snowflake or similar cloud data warehousing solutions (Azure, AWS, etc.) Experience supporting analytics and reporting using Kimball methodology Experience with data migration and business logic mapping Proven ability to convert business … IFS Manufacturing and supply chain experience Understanding of financial principles Experience with business KPI reporting The Successful Applicant Key Skills & Experience: Same as above, emphasizing ETL/ELT, SQL, Snowflake, Power BI, and relevant domain knowledge. What's on Offer Opportunity to work on a major Data Transformation Programme. Opportunity to join a rapidly growing organization. More ❯

Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling … SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO) Desired Skills and Experience 8+ years in retail/FMCG customer insights and analytics Built customer segmentation, CLV, and propensity models in Python/R Designed and analysed A/B More ❯

with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities … z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth More ❯

with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities … z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth More ❯

will be doing Data Modelling & Engineering: Gather requirements from stakeholders and design scalable data solutions Build and maintain robust data models and exposures in the data warehouse using dbt, Snowflake, and Looker Document architectural decisions, modelling challenges, and outcomes in a clear and structured way Wrangle and integrate data from multiple third-party sources (e.g., Salesforce, Amplitude, Segment, Google Ads … Data Quality & Operations: Ensure quality, reliability, and stability across data models and pipelines Create secure, efficient data shares for external partners (e.g., S3, SFTP, Snowflake Data Sharing) Contribute to the evolution and continuous improvement of our data platform, tooling, and processes Stakeholder Enablement: Support business users across the company to promote a culture of data-driven decision-making Translate complex … warehousing and business intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have experience with version control tools such as Git You will have exposure to Python for data or analytics engineering tasks (preferred More ❯

will be doing Data Modelling & Engineering: Gather requirements from stakeholders and design scalable data solutions Build and maintain robust data models and exposures in the data warehouse using dbt, Snowflake, and Looker Document architectural decisions, modelling challenges, and outcomes in a clear and structured way Wrangle and integrate data from multiple third-party sources (e.g., Salesforce, Amplitude, Segment, Google Ads … Data Quality & Operations: Ensure quality, reliability, and stability across data models and pipelines Create secure, efficient data shares for external partners (e.g., S3, SFTP, Snowflake Data Sharing) Contribute to the evolution and continuous improvement of our data platform, tooling, and processes Stakeholder Enablement: Support business users across the company to promote a culture of data-driven decision-making Translate complex … warehousing and business intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have experience with version control tools such as Git You will have exposure to Python for data or analytics engineering tasks (preferred More ❯

designing and implementing complex, large-scale BI architectures and data models - 5+ years experience with leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) - Deep understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages - Ability to effectively communicate technical concepts to both technical and non-technical stakeholders … designing and implementing complex, large-scale BI architectures and data models - 5+ years experience with leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) - Deep understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯

as well as providing development for other roles you may be interested in. Required Qualifications: Ability to showcase ETL strategy, including solution design, constraints, loading methods, security, and governance Snowflake experience including a dvanced SQL skills to support data warehouse operations and write efficient code that results in less processing time while maintaining high quality control in terms of error … handling and monitoring Azure Cloud experience using ADF to design pipelines to ingest data from on-prem into Snowflake as well as experience with self-hosted integration runtime, linked services, and Azure DevOps for CI/CD processes GitHub experience including actions and CI/CD Data Modeling experience, including e xtensive experience designing dimensional models based on business use More ❯

effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with access to cutting-edge More ❯

effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with access to cutting-edge More ❯

ll collaborate with cross-functional teams to deliver high-impact solutions that drive business value. Requirements: Experience as a Data Engineer using AWS: Glue, Lambda, S3, Redshift, Athena, EMR. Snowflake experience (Not essential) Strong Python SQL & NoSQL databases CI/CD tools : GitHub Actions or CodePipeline Infrastructure as Code (Terraform is preferable) Experience building ETL/ELT pipelines Familiarity with More ❯

effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with access to cutting-edge More ❯

related discipline Good working knowledge of SQL Comfortable using Git for version control Exposure to workflow orchestration tools (e.g. Prefect, Airflow, Dagster) Experience with cloud data warehouses (Azure SQL, Snowflake) or dbt Basic familiarity with Docker and BI tools (Power BI, Tableau) Interest in shipping, financial markets, or commodities Package: £35-40,000 basic salary + bonus Excellent career progression More ❯

your own ideas-your voice will be heard. Qualifcations: Degree in Computer Science, Information Technology or a related field. Skill & Experience: 3-5 years SQL experience (bonus: NoSQL or Snowflake). 2-3 years of hands-on Python (scripting and development). Experience in a fast-paced startup or agile environment. Strong background in schema design and dimensional data modeling. More ❯

your own ideas-your voice will be heard. Qualifcations: Degree in Computer Science, Information Technology or a related field. Skill & Experience: 3-5 years SQL experience (bonus: NoSQL or Snowflake). 2-3 years of hands-on Python (scripting and development). Experience in a fast-paced startup or agile environment. Strong background in schema design and dimensional data modeling. More ❯

developing data pipelines and systems. Expertise in cloud technologies (AWS) and integrating cloud services into data platforms. Strong proficiency in SQL, Python, and modern data engineering tools such as Snowflake, DBT, and Tableau. Experience with data warehousing, data lakes, and data modelling. In-depth knowledge of best practices for data quality, security, and performance optimisation. Ability to work closely with More ❯

testing including unit, performance, stress, and security testing.Experience working in an agile team.Experience working in a highly regulated industry and with highly sensitive data.Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.Experience in data science using R, Stata, or Python.Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket.Understanding of clinical trials, GCP, and GxP.What More ❯

role. Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies More ❯