226 to 250 of 328 Snowflake Jobs

platforms (SAP, Oracle, NetSuite), and billing solutions Successful track record delivering AI-driven capabilities and ML-powered business solutions Expertise in cloud-native architectures, event-driven design (e.g., Kafka, Snowflake), and enterprise integration platforms Exceptional leadership, communication, and executive influence skills Preferred Qualifications Hands-on experience with Generative AI platforms (e.g., OpenAI, Claude, Azure AI) Knowledge of privacy-by-design More ❯

+ Benefits + Bonus Deerfoot is partnering with a leading international banking group to hire a Market Risk BI Developer who will design and implement advanced data solutions using Snowflake and Power BI . This role works closely with risk managers and business stakeholders to build scalable analytics for market risk (including VaR, sensitivities, and stress testing), and to migrate … legacy Credit Risk platforms to a modern Snowflake/Power BI architecture. The successful candidate will drive enhancements to the Market Risk platform, manage requirements directly with stakeholders, deliver impactful data solutions, and expand support for additional bank entities. They will also play a key role in developing robust ELT processes to replace Excel EUCs. Collaboration and strong project estimation … for success in this international team/department. Key Responsibilities: Develop and maintain Power BI dashboards, cubes, and reports for market risk analytics. Design and optimise data pipelines using Snowflake, dbt, and ADF for robust data integration and quality. Contribute to migrating legacy credit risk systems (SQL Server, SSIS, SSAS, SSRS) to the new architecture. Collaborate with risk managers and More ❯

Experience with Python for scripting and automationPreferred Qualifications Experience integrating or managing Software-as-a-Service (SaaS) applications and enterprise systems (ERP, EPM, Data & Analytics like Oracle, Workday, SAP, Snowflake, Power BI) Expertise in various data structures, schemas, and modern data architectures (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse), with the ability to translate complex regulatory data requirements into intuitive, software More ❯

storage. Drive innovation and continuous improvement Explore and integrate emerging tools in cloud, automation, and data architecture. Lead or support migrations to modern platforms such as AWS, Azure, GCP, Snowflake, or Databricks. Proactively identify opportunities to streamline and optimize performance. What You’ll Bring Experience: Proven hands-on experience as a Data Engineer or in a similar data-focused role. … Proficiency in SQL and Python . Strong grasp of ETL/ELT pipelines , data modeling , and data warehousing . Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a plus. Tools & Frameworks: Airflow, dbt, Prefect, CI/CD pipelines, Terraform. Mindset: Curious, data-obsessed, and More ❯

what you need: Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) Experience with Python, SQL, Spark, and PySpark Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi Experience with Agile/Scrum Experience with data platforms … like Databricks, Palantir, and Snowflake Familiarity with data orchestration and data quality processes Bonus points if you have: Experience working with federal clients Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar Security Clearance: Active More ❯

to modern finance workflows. Key Responsibilities Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and securely store data from NetSuite and other finance systems into Snowflake, ensuring data integrity, compliance, and security best practices (e.g., encryption, access controls, and auditing). Collaborate with finance and data teams to define data models, schemas, and governance policies that … 5+ years of experience as a data engineer or analytics engineer, with a proven track record in full stack data development (from ingestion to visualization). Strong expertise in Snowflake, including data modeling, warehousing, and performance optimization. Hands-on experience with ETL tools (e.g., Apache Airflow, dbt, Fivetran) and integrating data from ERP systems like NetSuite. Proficiency in SQL, Python More ❯

on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes … CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative More ❯

on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes … CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative More ❯

products. My client is looking for an experienced Senior Data Engineer to play a pivotal role in designing and implementing next-generation data warehousing solutions, with a focus on Snowflake and AWS technologies. This is a fantastic opportunity to shape the future of data architecture and drive innovation in a dynamic, collaborative environment. Main Responsibilities: Lead the modernisation journey to … Snowflake-based data warehousing solutions within an AWS environment. Design and implement scalable, secure, and cost-efficient data solutions using AWS services such as Glue, Lambda, S3, Redshift, and Step Functions. Develop robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Drive automation and CI/CD practices for data workflows, ensuring reliable deployment and monitoring. Mentor … skills as you will be working closely and presenting to senior stakeholders, along with leading and mentoring teams Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience with AWS services (e.g., EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway) Strong SQL skills for complex data queries and More ❯

Snowflake Data Modeller Location: Remote (Mostly remote with some occasional travel to Hemel Hempstead) Contract: Outside IR35 Day rate: Up to £550 per day Duration: 6 months Start date: ASAP Key skills: Snowflake, DBT, SQL, Python, AWS and Kimball The Client who are in the process of migrating to SnowFlake therefore require extra support. As a result, they require someone … opportunity to be at the cutting edge of data engineering. YOUR SKILLS AND EXPERIENCE A successful Senior Data Engineer here will have experience in the following: - Advanced SQL knowledge - SnowFlake (ideally certified) - Python development - AWS cloud experience essential, relating to data tooling and development - Working knowledge of Data Build Tool (DBT). o Develop staging, intermediate and marts in DBT More ❯

Data Architect - Data Vault, Snowflake, ADF £Market rate (Inside IR35) London/Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Architect with expertise in Data Vault, Data Modelling, Data Engineering Design, strong Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI), Snowflake and Enterprise scale Data More ❯

We are looking for a highly skilled and motivated Snowflake Developer to join our client's team. The ideal candidate will have extensive experience with Snowflake and a strong background in data modeling, SQL, and Python. You will be responsible for designing, developing, and maintaining our data infrastructure to support various data-driven initiatives. Role: Snowflake Developer Location: Manchester (Hybrid … Write and optimize complex SQL queries. Develop and manage Dimensional Data Models. Use Python for scripting and data automation. Collaborate with stakeholders to deliver data-driven solutions. Required Skills: Snowflake ANSI-SQL Dimensional Data Modeling Python Experience with Gitlab Bonus Points: Knowledge of data science and machine learning Experience in the finance industry Familiarity with Power BI Knowledge of SQL More ❯

We are looking for a highly skilled and motivated Snowflake Developer to join our client's team. The ideal candidate will have extensive experience with Snowflake and a strong background in data modeling, SQL, and Python. You will be responsible for designing, developing, and maintaining our data infrastructure to support various data-driven initiatives. Role: Snowflake Developer Location: Manchester (Hybrid … Write and optimize complex SQL queries. Develop and manage Dimensional Data Models. Use Python for scripting and data automation. Collaborate with stakeholders to deliver data-driven solutions. Required Skills: Snowflake ANSI-SQL Dimensional Data Modeling Python Experience with Gitlab Bonus Points: Knowledge of data science and machine learning Experience in the finance industry Familiarity with Power BI Knowledge of SQL More ❯

a job opportunity on a 6 months contract inside IR35 with our leading banking client EDINBURGH BASED - PREFERRED Skills are as below: Strong SQL coding skills Experience working in Snowflake Expertise in Tableau or Amazon QuickSight Proficiency in SAS , particularly to support our ongoing migration to cloud platforms It's working in the data measurement team and is facing off More ❯

Experience Cloud, Data Hub , and NPSP . Understanding of architecture design in cloud environments, especially Azure . Exposure to integration tools such as Informatica IICS or data platforms like Snowflake . Previous experience in the not-for-profit or public sector. Application This is a fantastic opportunity to shape the future of a nationally respected organisation and play a key More ❯

our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, and Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're an award-winning employer reflecting how our employees are at the very heart of Version More ❯

the Data Architect will play a pivotal role in designing, governing, and evolving the enterprise data architecture underpinning ILIM's data platform. Our chosen technology stack is Microsoft ADF, Snowflake and Power BI. You will ensure our data infrastructure supports current and future business needs, aligns with ILIM's data strategy, and enables scalable, compliant, and performant data operations. This … ensuring alignment with group-wide data initiatives. What you will help us to achieve Deliver a best-in-class, user-centric, high-performing, and scalable cloud data platform using Snowflake, supporting ILIM's data strategy and business needs. Design and govern best practice data models (Operational Data Store & Data Warehouse), pipelines, data engineering standards, and security best practices within Snowflake … oriented person who is passionate about data and the impact it can have in an organisation. An engineering mindset with proven experience building out large scale data platforms using Snowflake (big advantage) or similar with extensive knowledge on best practices for data pipelines, deployment, orchestration, cost and performance optimisation. Forward thinking, ensuring we can continue to incrementally build out our More ❯

in a collaborative, fast-paced environment. What You'll Be Doing: Building and maintaining scalable data pipelines across Azure and GCP Working with tools such as Azure Data Factory, Snowflake, BigQuery, and Cloud Functions Supporting data warehousing and integration across diverse industry projects Collaborating with data professionals and contributing to cross-functional delivery teams Assisting in reporting and data visualisation … years of experience in a data engineering or similar role (graduates welcome) Proficiency in SQL and Python Exposure to any of the following: Azure Data Factory GCP BigQuery Snowflake Cloud Functions Strong communication and problem-solving skills Must be eligible for SC (Security Check) clearance (UK residency required) What's On Offer: £60,000 base salary Hybrid working (London office More ❯

and interpersonal skills Involving migration moving from standard database to Datawarehouse Day to day responsibilities are working in Strong on python, PySpark, ETL jobs from standard database to Datawarehouse Snowflake is preferred but not mandate Quick learner of new technologies, tools, concepts and ability to translate them to action. Excellent problem-solving skills and attention to detail Effective communication and … API, Integration/EAI technologies like Informatica 3+ years' experience with Technologies including Web Service API, XML, JSON, JDBC, Java, Python. 3+ years working with SaaS platforms such as Snowflake, Collibra, Mongo/MongoDB Atlas, Knowledge of enterprise data models, information classification, meta-data models, taxonomies and ontologies. Exposure to Full stack enterprise application development (Agular, Spring Boot, Automation testing … data analysis, and data management role Experience with different query languages such as PL/SQL, T-SQL, and ANSI SQL Experience with database technologies such as DB2, PostgreSQL, Snowflake Knowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts Skills: Python PySpark Informatica SQL Education: Bachelor's degree in More ❯

and familiar with HIPAA and other data privacy controls. Preferred experience/skills:Amazon Web Services (AWS) Certification or Cloud Data Engineer Certification Informatica (IICS) and Airflow (Orchestration) experience Snowflake certification Cognos and/or Tableau reporting experience JOB DESCRIPTION DPH is executing large-scale data modernization across the agency as part of DMI. This includes creating a consolidated Enterprise … Data Platform on modern cloud tools (including AWS & Snowflake,) and re-platforming existing business data applications from solutions such as SAS and legacy databases to the new platform. DPH data systems enable epidemiologists, public health researchers, state and local public health officials, and business leaders to analyze public health trends and drive policy decisions. The ideal candidate is an expert … Conducts thorough analysis and documentation of cloud data engineering strategies and designs. Establish regular overall system performance assessment processes and action plans. Expertise in Data Integration leveraging Informatica (IICS), Snowflake, SQL and Python code to solve complex use cases Provide direction for the design and development of the data layers including review of ETL requirements. Capable of leading team design More ❯

month contract. The role will involve building and optimising data pipelines, ensuring data quality, and enabling analytics and reporting across the business. Responsibilities: Develop and maintain data pipelines in Snowflake using Python and SQL. Write efficient SQL queries and stored procedures for data processing and reporting. Automate ingestion of structured and semi-structured data sources. Optimise data models and pipelines … stakeholders to deliver reliable datasets. Implement best practices in data quality, governance, and secu rity . Experience: 2-3 years' experience as a Data Engineer, with strong hands-on Snowflake expertise. Proven experience with SQL (advanced query writing, optimisation, performance tuning). Strong Python skills for data transformation, automation, and pipeline development. Experience with ETL/ELT tools (e.g., dbt More ❯

month contract. The role will involve building and optimising data pipelines, ensuring data quality, and enabling analytics and reporting across the business. Responsibilities: Develop and maintain data pipelines in Snowflake using Python and SQL. Write efficient SQL queries and stored procedures for data processing and reporting. Automate ingestion of structured and semi-structured data sources. Optimize data models and pipelines … stakeholders to deliver reliable datasets. Implement best practices in data quality, governance, and secu rity . Experience: 2-3 years' experience as a Data Engineer, with strong hands-on Snowflake expertise. Proven experience with SQL (advanced query writing, optimisation, performance tuning). Strong Python skills for data transformation, automation, and pipeline development. Experience with ETL/ELT tools (e.g., dbt More ❯

make a meaningful impact on our data-driven journey. We have an exciting opportunity for you to work with a talented team, harness cutting-edge technologies like Data Vault, Snowflake, DBT, Airflow and AWS/Azure, and drive innovative solutions that shape the future of our organization. As a Data Architect, you will play a crucial role in designing and … the data they generate, leveraging opportunities to structure and utilise this data for driving business value. Be part of a cutting-edge retail transformation, leveraging the latest technologies like Snowflake, DBT, Data Vault and Azure/AWS. Collaborate with top talent in data engineering, analytics, and Products teams across the organization to create impactful data solutions. Key Skills & Experience As More ❯

maintain conceptual, logical, and physical data models. Develop and implement Data Vault 2.0 models for scalable and auditable data warehousing. Collaborate with engineering teams to implement models using DBT, Snowflake, Azure Data Factory, and Microsoft Fabric. Translate business requirements into robust data models. Ensure alignment with data governance, quality, and security standards. Provide technical guidance on data modelling best practices. … Strong expertise in Data Vault modelling (preferably DV 2.0). Experience with semantic modelling for BI tools (eg, Power BI, Fabric). Hands-on experience with Azure Data Factory, Snowflake, DBT, and Microsoft Fabric. Understanding of Data Mesh principles and domain-oriented data product design. Familiarity with data governance, metadata management, and data quality frameworks. Experience in financial services, ideally More ❯

maintain conceptual, logical, and physical data models. Develop and implement Data Vault 2.0 models for scalable and auditable data warehousing. Collaborate with engineering teams to implement models using DBT, Snowflake, Azure Data Factory, and Microsoft Fabric. Translate business requirements into robust data models. Ensure alignment with data governance, quality, and security standards. Provide technical guidance on data modelling best practices. … Strong expertise in Data Vault modelling (preferably DV 2.0). Experience with semantic modelling for BI tools (e.g., Power BI, Fabric). Hands-on experience with Azure Data Factory, Snowflake, DBT, and Microsoft Fabric. Understanding of Data Mesh principles and domain-oriented data product design. Familiarity with data governance, metadata management, and data quality frameworks. Experience in financial services, ideally More ❯