126 to 150 of 462 Permanent Snowflake Jobs

scalable data pipelines that serve business-critical applications and analytics use cases. Modernise and migrate Legacy ETL processes into cloud-native solutions using tools such as Azure Data Factory, Snowflake, and Databricks. Collaborate with cross-functional teams including data architects, analysts, and platform engineers to deliver production-ready solutions. Proactively identify and resolve data quality issues, building in monitoring, testing … improvement. Skills/Must have: Extensive hands-on experience as a Data Engineer working across both on-prem and cloud data platforms. Strong expertise in Azure Data Factory (ADF), Snowflake, Databricks, and Python. Proficiency in SQL and debugging data workflows across hybrid environments. Deep understanding of data modelling, warehousing concepts, and performance tuning. Excellent communication and collaboration skills. Salary More ❯

in data modelling, storage and retrieval Collaborating with stakeholders to ensure alignment between technical solutions and business objectives Leading on the integration of cloud platforms and modern tooling (Azure, Snowflake, Matillion etc.) Coaching and mentoring engineers to elevate capability across the team Ensuring data governance, privacy and security standards are embedded into all solutions Troubleshooting and optimising data infrastructure performance … or leadership role Proven experience designing and delivering end-to-end data pipelines Strong experience with Azure cloud services and security concepts (Key Vault, ACLs, RBACs) Hands-on with Snowflake, Matillion, and a range of modern data tools Programming expertise in Python, Java or SQL Solid knowledge of relational and NoSQL databases Excellent communication skills able to translate technical concepts More ❯

pipelines and storage solutions in cloud environments (AWS, Azure, GCP) - Writing complex queries against relational and non-relational databases - Leading or contributing to key projects involving technologies like Databricks, Snowflake, BigQuery and Fabric - Applying software engineering best practices to data engineering, including CI/CD, monitoring and alerting - Collaborating with cross-functional teams including Data Scientists, Architects and Analysts - Mentoring … Advanced SQL skills and experience designing efficient schemas and optimising performance - Experience with code versioning, dependency management, logging, validation and monitoring - Familiarity with modern data platforms such as Databricks, Snowflake or Microsoft Fabric - Solid understanding of software engineering principles and SDLC best practices - Demonstrated success working across multiple cloud platforms (AWS, Azure, or GCP) - Excellent communication and collaboration skills with More ❯

technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data More ❯

technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data More ❯

of data engineering principles and best practices, including data modelling, observable ETL/ELT processes, data warehousing and data governance You have experience with AWS and tools such as Snowflake You're collaborative and pragmatic with excellent communication skills What's in it for you: As a Principal Data Engineer you will earn a competitive package including: Salary to £105k More ❯

business applications Familiarity with CI/CD pipelines in AWS or other cloud platforms (Azure, Google Cloud) Experience working with SaaS data/analytics platforms such as Palantir Foundry, Snowflake, or Databricks Background in the Launch Enterprise or aerospace industry Knowledge of Model-Based Systems Engineering (MBSE) tools and methodologies CLEARANCE REQUIREMENTS: Must possess and maintain an active DoD Secret More ❯

manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. Familiarity with reporting and analytics tools, Qlik, Microsoft Excel, Power BI, Synapse, Snowflake or similar. Self-motivated, proactive, with a strong sense of ownership, initiative, and problem-solving abilities. Excellent communication skills, with the ability to translate complex technical concepts to non- technical More ❯

Data Analyst or similar role in a data-driven environment. Hands-on expertise with Earnix or similar pricing/analytics platforms is highly desirable. Strong proficiency in SQL and Snowflake for data manipulation and transformation. Experience working with Power BI for dashboard development and data visualization. Solid understanding of data validation, cleansing, and ETL processes. Excellent communication and stakeholder management More ❯

leadership position. Proven track record of building and scaling data teams and capabilities in a global context. Deep understanding of data architecture, data warehousing, and modern analytics platforms (e.g., Snowflake, Power BI, Tableau, Databricks). Hands-on experience with Microsoft Data Factory, Azure Data Lake, and Microsoft Fabric. Strong knowledge of data governance, privacy regulations (e.g., GDPR), and data lifecycle More ❯

visualization tools, such as Tableau. • Utilize web development technologies to facilitate application development for front end UI used for risk management actions • Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems. • Interact with business users for resolving issues with applications. • Design and support batch processes using scheduling infrastructure for calculation and distributing data to other More ❯

Sisense, Power BI, Streamlit). Technical Skills Experience with ETL processes and APIs for data integration. Understanding of statistical methods and data modelling techniques. Familiarity with cloud platforms like Snowflake is advantageous. Knowledge of data governance frameworks and data security protocols. Soft Skills Exceptional attention to detail and problem-solving capabilities. Strong communication skills, able to translate complex insights for More ❯

and data analytics languages (SQL, Python). Familiarity with Salesforce, Dynamics 365, or similar enterprise systems. Excellent communication, collaboration, and stakeholder management skills. Nice-to-Haves Knowledge of Kafka, Snowflake, or Databricks. Experience with AI in data (e.g., real-time forecasting, visualisation). Background in advisory or consulting roles within data strategy. Ability to thrive in ambiguous, fast-paced environments. More ❯

for quantitative trading and analytics, with demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes) Proven success in enhancing developer experience that reduces friction in coding, building and deploying APIs More ❯

backend services and React frontends. You'll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You will serve as the go-to engineer for: End-to-end data migration architecture ( on-premise More ❯

of experience using the Datastage tool and version designated in theTask Order• Excellent communication skills Preferred Skills:• Experience with cloud-based Data Warehouse platforms and solutions (e.g., Oracle FDIP, Snowflake, Amazon Redshift, Google BigQuery).• Relevant certifications in data management or ETL tools are a plus Experience with one or more of the following systems: Maximo, PeopleSoft FSCM, HCM, ELM More ❯

role and a seasoned architect with solid knowledge of the current technology trends • Expertise in relational and non-relational databases, including Oracle, MS SQL, and modern cloud-based solutions (Snowflake, Redshift, etc.) • 7 to 10 years of experience with enterprise data architecture, database management, and data engineering • Proven experience leading a data transformation project(s) from concept to delivery • Deep More ❯

the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3,Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest More ❯

concepts to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope More ❯

concepts to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope More ❯

concepts to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope More ❯

Senior Technical Recruiter Senior Technical Recruiter Location: London, Hybrid (3 days per week in office) Type: Full-Time, Permanent Salary: £65,000-£75,000 per annum + EMI Share Options + Benefits About QuantSpark At QuantSpark, we believe data and More ❯

Career Opportunities: Data Architect - Affinity Reply (10503) Requisition ID 10503 - Posted - Years of Experience: 2+ - Consulting - Location: UK Affinity Reply is a leading UK-based architecture consultancy focused on optimizing IT/Business alignment and minimizing the costs of business More ❯

working, this is paying £55-65K basic salary depending on experience with a 10% bonus. Essential skills and experience for the role: Python Azure Data Factory Power BI Snowflake, dbt Experience designing ETL/ELT pipelines and integrating data from cloud and on-premise sources. API integrations Familiarity with data modelling best practices (star/snowflake schema) and version More ❯

with the Azure Data Stack; ADF, Synapse Strong Python/Spark Strong SQL experience Willingness to be in the office, ideally 4-5 days a week. Additional experience of Snowflake is highly advantageous but not essential. Must show willingness to learn This is a great opportunity to join outstanding organisation who pride themselves on being one of the best companies … interest then get in touch ASAP. Send across your CV to (url removed) or alternatively, give me a call on (phone number removed). Keywords: Data Engineering, Data Engineer, Snowflake, ETL, ELT, ADF, Data Factory, Synapse Analytics, SSIS, Migration, Pipeline, Python, Spark, DBT, Snowflake, Azure, SQL, Leeds More ❯