126 to 150 of 280 Remote ETL Jobs

data architecture principles, including data modelling, database design, data management, and data governance You are proficient in data technologies such as SQL, NoSQL, graph databases, data lakes, data mesh, ETL processes, data platforms, and data warehousing You possess excellent analytical skills to evaluate, integrate, and optimize data systems and solutions You have a forward-thinking approach to data architecture, incorporating More ❯

solutions on the Snowflake platform. The ideal candidate should also be proficient in SQL and have a strong background in SQL Server Integration Services (SSIS) for data integration and ETL processes. Key Responsibilities: Design, develop, and optimize Snowflake-based data warehouse solutions to meet business requirements. Collaborate with stakeholders to gather and analyze data requirements, translating them into technical specifications. … Develop and maintain ETL processes using SQL and SSIS to ensure efficient data integration and migration. Implement data pipelines and workflows in Snowflake to support data analytics and reporting needs. Monitor and tune Snowflake performance to ensure optimal data processing and query execution. Ensure data quality, consistency, and integrity across the data warehouse. Provide technical support and troubleshooting for Snowflake … role. Strong proficiency in Snowflake, including data modeling, performance tuning, and security. Solid understanding of SQL and experience with SQL Server Integration Services (SSIS Knowledge of data warehousing concepts, ETL processes, and data integration best practices. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Strong problem-solving skills and attention to detail. Excellent communication and collaboration More ❯

Card Scheme Migration Processes: Manage migration activities in line with card scheme processes, procedures, and compliance standards. Liaise with scheme representatives to coordinate approvals, testing, and go-live readiness. ETL Build & Implementation: Drive and lead the ETL (Extract, Transform, Load) process, ensuring efficient and accurate data movement. Work with development teams to ensure solutions meet security and performance needs. Data … migration programmes in financial services. Proven expertise in securely migrating card credentials and encryption keys. Strong working knowledge of card scheme migration processes and requirements. Hands-on experience with ETL build and deployment. Deep understanding of data verification and financial reconciliation methodologies. Excellent stakeholder management skills, including board-level engagement. Strong problem-solving ability and resilience under pressure. Desirable Experience More ❯

Card Scheme Migration Processes: Manage migration activities in line with card scheme processes, procedures, and compliance standards. Liaise with scheme representatives to coordinate approvals, testing, and go-live readiness. ETL Build & Implementation: Drive and lead the ETL (Extract, Transform, Load) process, ensuring efficient and accurate data movement. Work with development teams to ensure solutions meet security and performance needs. Data … migration programmes in financial services. Proven expertise in securely migrating card credentials and encryption keys. Strong working knowledge of card scheme migration processes and requirements. Hands-on experience with ETL build and deployment. Deep understanding of data verification and financial reconciliation methodologies. Excellent stakeholder management skills, including board-level engagement. Strong problem-solving ability and resilience under pressure. Desirable Experience More ❯

in a Quantitative field +5yrs of relevant experience • Possess a strong proficiency in SQL, Excel, and building dashboards with using BI Tools such as Power BI • Can read an ETL pipeline and collaborate with Data and Software Engineers • Can design new metrics and collaborate with Data Scientists • Can lead projects independently and collaborate with Operations, Finance • Successfully influence without authority More ❯

the Microsoft Power Platform - Gathering user and business requirements - Change management and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience More ❯

a data warehouse. You will probably have experience across the following: Designing and building BI solutions Writing and optimizing SQL queries Data warehousing A good understanding of data security ETL processes Experience with Azure and related tools (Fabric, Data Lake, Data Factory etc.) would be beneficial but not essential. The company operate a hybrid working policy and you would normally More ❯

in data engineering at a senior level Strong hands-on knowledge of Databricks Experience with AWS cloud platforms inlcuding S3, Redshift, Glue or Lambda Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? £60,000 salary Flexible hybrid working (2 days a week in our Leeds office More ❯

CI/CD practices and version control (Git). Excellent problem-solving and communication skills. Nice to Have Experience with MLOps tools and practices. Knowledge of data engineering and ETL pipelines. Exposure to deep learning frameworks and NLP techniques. IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

experience: Strong hands-on experience with Azure Databricks and Spark. Solid understanding of Azure Data Lake, Data Factory, and Synapse. Proven track record in building scalable data pipelines and ETL processes. Experience working in hybrid environments and cross-functional teams. Logistical Info: Fast-paced, high-impact project within a major enterprise. Flexible hybrid working (2-3 days onsite in Newcastle More ❯

track record creating interactive, well-designed dashboards and reusable datasets. Good grasp of data governance, version control (Git/SharePoint) and documentation. Bonus: experience with Snowflake , Alteryx (or similar ETL/ELT), and coaching stakeholders on best practice. Benefits ... Here our colleagues do whatever it takes to help our customers. And we believe in rewarding you in return. As More ❯

Public sector or healthcare IT experience is preferred. Strong hands-on experience with Oracle Database (19 C) including PL/SQL and performance optimization. Proficiency in system integration and ETL/ELT frameworks such as SSIS, Oracle Data Integrator (ODI), or equivalent. Knowledge of governance practices: validation, access controls, and metadata management. Proficiency with Linux server environments Solid working experience More ❯

track record creating interactive, well-designed dashboards and reusable datasets. Good grasp of data governance, version control (Git/SharePoint) and documentation. Bonus: experience with Snowflake , Alteryx (or similar ETL/ELT), and coaching stakeholders on best practice. Benefits ... Here our colleagues do whatever it takes to help our customers. And we believe in rewarding you in return. As More ❯

track record creating interactive, well-designed dashboards and reusable datasets. Good grasp of data governance, version control (Git/SharePoint) and documentation. Bonus: experience with Snowflake , Alteryx (or similar ETL/ELT), and coaching stakeholders on best practice. Benefits ... Here our colleagues do whatever it takes to help our customers. And we believe in rewarding you in return. As More ❯

black box. We build our own AI stack - scalable, secure, and 100% under our control. If you're tired of patching together pipelines that nobody understands or maintaining legacy ETL monsters, keep reading. As our Data Engineer - AI , you'll own the architecture and operations of our AI applications - from raw data to production-grade services. You'll work side More ❯

black box. We build our own AI stack - scalable, secure, and 100% under our control. If you're tired of patching together pipelines that nobody understands or maintaining legacy ETL monsters, keep reading. As our Data Engineer - AI , you'll own the architecture and operations of our AI applications - from raw data to production-grade services. You'll work side More ❯

impact projects. Required skills & experience Proven experience as an Integration Architect, Solutions Architect, or Senior Developer Strong technical expertise in API design (REST, SOAP), data mapping, middleware platforms, and ETL processes. Demonstrable experience integrating Elite 3E, ShareDo, HubSpot, and SharePoint (or similar enterprise systems). Solid understanding of data structures, workflows, and security best practices. Experience with Microsoft technology stack More ❯

to a range of modern technologies including some of the below: Cloud platforms (GCP, AWS, Azure) and hybrid hosting architectures APIs, microservices, and modular applications Data strategies (data lifecycle, ETL, data modelling, governance) Cybersecurity Technology sustainability Payments, digital transformation, retail banking Collaboration & Communication Strong communication and storytelling skills Ability to build trusted relationships across engineering, product, and business teams Continuous More ❯

to a range of modern technologies including some of the below: Cloud platforms (GCP, AWS, Azure) and hybrid hosting architectures APIs, microservices, and modular applications Data strategies (data lifecycle, ETL, data modelling, governance) Cybersecurity Technology sustainability Payments, digital transformation, retail banking Collaboration & Communication Strong communication and storytelling skills Ability to build trusted relationships across engineering, product, and business teams Continuous More ❯

to a range of modern technologies including some of the below: Cloud platforms (GCP, AWS, Azure) and hybrid hosting architectures APIs, microservices, and modular applications Data strategies (data lifecycle, ETL, data modelling, governance) Cybersecurity Technology sustainability Payments, digital transformation, retail banking Collaboration & Communication Strong communication and storytelling skills Ability to build trusted relationships across engineering, product, and business teams Continuous More ❯

to a range of modern technologies including some of the below: Cloud platforms (GCP, AWS, Azure) and hybrid hosting architectures APIs, microservices, and modular applications Data strategies (data lifecycle, ETL, data modelling, governance) Cybersecurity Technology sustainability Payments, digital transformation, retail banking Collaboration & Communication Strong communication and storytelling skills Ability to build trusted relationships across engineering, product, and business teams Continuous More ❯

to a range of modern technologies including some of the below: Cloud platforms (GCP, AWS, Azure) and hybrid hosting architectures APIs, microservices, and modular applications Data strategies (data lifecycle, ETL, data modelling, governance) Cybersecurity Technology sustainability Payments, digital transformation, retail banking Collaboration & Communication Strong communication and storytelling skills Ability to build trusted relationships across engineering, product, and business teams Continuous More ❯

making. Skill and Expertise: 8+ years of professional experience in data engineering, of which 2+ years of people management and technical leadership experience. Experience in cloud-based data platforms, ETL pipelines, and distributed data processing frameworks. Experience in building and optimizing ML pipelines, including feature engineering, model training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/ More ❯

as Logic Apps, Function Apps, Service Bus, Event Grid, Event Hub, and API Management. Experience with RESTful APIs, JSON, and integration patterns (eg, pub/sub, request/response, ETL). Understanding of DevOps practices and tools (Azure DevOps, GitHub, CI/CD). Knowledge of security and identity management in Azure (eg, OAuth2, Managed Identities, RBAC). Understanding of More ❯

APIs, data formats (CSV, JSON, XML), and integrations Nice to have: SSO/SAML, AWS, Terraform Familiarity with SaaS delivery models and cloud environments Strong understanding of data pipelines, ETL workflows, and file transfer protocols (SFTP, FTP, Private/Public Key Authentication etc.) Some customer-facing or consulting experience, or a strong interest in developing this skill set Excellent communication More ❯