126 to 150 of 280 Remote ETL Jobs

successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some of the package/role details include: Salary up to £95,000 Discretionary annual More ❯

successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some of the package/role details include: Salary up to £95,000 Discretionary annual More ❯

Kubernetes), and virtualisation (VMware, IaaS tools like Ansible, Terraform) * Excellent analytical, problem-solving, and communication skills * Experience working within Agile or DevOps environments Preferred: * Knowledge of data integration techniques (ETL, data mapping) * Certifications in software architecture or integration technologies Join a forward-thinking team where your expertise will directly impact the success of critical software systems. Apply now to be More ❯

Cloud flows, RPA) Dataverse (Advanced schema design, entity relationships, security roles) Microsoft 365: Integration with SharePoint, Teams, Exchange SQL: Complex queries and stored procedures Performance tuning and query optimisation ETL processes, data migration, and database design (desirable) Additional Skills: API integration Azure DevOps Application Lifecycle Management Workflow design (e.g., Visio) UX/UI principles .NET (beneficial but not essential) Soft More ❯

Cloud flows, RPA) Dataverse (Advanced schema design, entity relationships, security roles) Microsoft 365: Integration with SharePoint, Teams, Exchange SQL: Complex queries and stored procedures Performance tuning and query optimisation ETL processes, data migration, and database design (desirable) Additional Skills: API integration Azure DevOps Application Lifecycle Management Workflow design (eg, Visio) UX/UI principles .NET (beneficial but not essential) Soft More ❯

Strong problem-solving and troubleshooting skills. Comfortable working in a remote, fast-paced environment. Desirable Skills: Experience working with other BI tools and technologies. Familiarity with data warehousing and ETL processes. Knowledge of DevOps practices in a BI context is a plus. If you are looking for a flexible, remote role where you can apply your Power BI and SQL More ❯

billing systems • Business Analysis Skills: Strong analytical skills for eliciting and documenting requirements, creating process diagrams, and defining data transformation and migration strategies • Technical Acumen: understanding of data transformation, ETL processes, data mapping and SQL queries • Communication and collaboration: Excellent verbal and written communication skills, with experience working with diverse stakeholder groups. Ability to lead workshops, meetings and presentations. • Project More ❯

shape the future of data. Key Responsibilities: Oversee daily management and maintenance of data systems. Ensure robust data system security and patching. Support the team in producing Data and ETL services. Conduct data analysis, design, and remediation activities. Engage in transformation activities and champion change agendas. Identify and propose enhancements for data-centric processes. Create high-quality functional and technical More ❯

internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial More ❯

shape the future of data. Key Responsibilities: Oversee daily management and maintenance of data systems. Ensure robust data system security and patching. Support the team in producing Data and ETL services. Conduct data analysis, design, and remediation activities. Engage in transformation activities and champion change agendas. Identify and propose enhancements for data-centric processes. Create high-quality functional and technical More ❯

field and/or statistical background. Technical requirements: Proficient in SQL?and hands-on coding experience with Python for Data Analytics Experience with setting up and automating data pipelines, ETL processes, etc Proficiency in using data visualization tools such as PowerBI or Tableau In-depth experience with Adobe Analytics or Google Analytics Expert at designing, running and interpreting AB tests. More ❯

the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office … Creating and implementing data pipelines to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. … Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and principles. Data Architecture: Understanding of data architecture principles and best practices. Data Modeling: Understanding of More ❯

of scalable, high-performance data pipelines on Databricks. Architect and implement data ingestion, transformation, and integration workflows using PySpark, SQL, and Delta Lake. Guide the team in migrating legacy ETL processes to modern cloud-based data pipelines. Ensure data accuracy, schema consistency, row counts, and KPIs during migration and transformation. Collaborate with Data engineer , BI Engineers, and Security teams to … of experience in data engineering, with at least 3+ years in a technical lead role. Strong expertise in Databricks , PySpark , and Delta Lake . DBT Advanced proficiency in SQL, ETL/ELT pipelines, and data modelling. Experience with Azure Data Services (ADLS, ADF, Synapse) or other major cloud platforms (AWS/GCP). Strong knowledge of data warehousing , transformation logic More ❯

and implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment Create and maintain ETL processes, data mappings & transformations to orchestrate data integrations. Ensure data integrity, quality, privacy, and security across systems, in line with client and regulatory requirements Optimise data solutions for performance and … Demonstrable experience in all aspects of the data engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including SQL queries and stored procedures, and formal database design methodologies Experience in setting up monitoring and data quality exception handling More ❯

of 3+ years’ experience in reporting, MI, or BI development roles. Strong SQL expertise (MySQL preferred; Redshift a bonus). Proven experience creating dashboards and BI reports. Understanding of ETL processes and data integration from multiple sources. Confident communicator and collaborator within Agile environments. Experience with JIRA and Confluence. What’s in It for You: A collaborative team culture that More ❯

Strong understanding of process automation and workflow design . Background in finance systems or financial services , ideally within life insurance. Experience with data migrations or integrations (e.g. Oracle, AutoRek, ETL). Ability to work closely with non-technical teams and translate requirements effectively. Self-starter who can both deliver hands-on solutions and act as a technical advisor. Must have More ❯

system interactions. * Excellent stakeholder management and communication skills. * Ability to translate technical concepts into business-friendly language. Desirable Skills: * Experience with data governance, security, and compliance frameworks. * Knowledge of ETL processes and data integration tools. * Exposure to Agile or hybrid project delivery methodologies. More ❯

making. Work with internal teams to understand requirements and deliver tailored solutions. Maintain and improve existing systems, ensuring scalability, security, and performance. Integrate data from multiple sources and build ETL processes where required. Contribute to IT strategy by recommending new tools, approaches, and technologies. Provide technical support and documentation for developed systems. Key Skills & Experience: Strong experience with C#/ More ❯

making. Work with internal teams to understand requirements and deliver tailored solutions. Maintain and improve existing systems, ensuring scalability, security, and performance. Integrate data from multiple sources and build ETL processes where required. Contribute to IT strategy by recommending new tools, approaches, and technologies. Provide technical support and documentation for developed systems. Key Skills & Experience: Strong experience with C#/ More ❯

Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. Python or automation is a plus. Knowledge of A/B testing and statistics. Strong communication and storytelling skills to influence diverse audiences. Experience with call centre or digital More ❯

and cloud database solutions. Experience of similar technologies desirable (e.g., MySQL, Progress) .• Strong understanding and application of data modelling concepts, normalisation techniques, and database design principles.• Experience with ETL tools and processes (e.g., Informatica, Talend, SSIS, Azure Data Factory).• Experience with version control systems (GitHub, Bitbucket).• Knowledge of project management methodology, tools (e.g. Jira Software Cloud/ More ❯

Responsibilities Design, build, and maintain scalable data pipelines across modern cloud platforms Drive the implementation of GenAI frameworks, including model deployment, monitoring, and lifecycle management ('GenAI Ops') Develop robust ETL/ELT workflows and optimise performance within Snowflake Collaborate with cross-functional teams to integrate AI solutions into data ecosystems Must-Haves Strong background in Data Engineering at a senior More ❯

the organisation in strategically and operationally managing health services across North Wales. The following are therefore essential: Knowledge of data warehousing concepts and techniques Advanced SQL skills Experience of ETL processes In-depth knowledge of the Microsoft SQL Server platform and client tools (SSMS) Understanding of the importance of thorough testing The applicant must possess excellent communication skills in order More ❯

methodologies, including CI/CD, iterative delivery, and process optimisation. Experience designing, building, and operating large-scale data platforms supporting end-user products, analytics, and BI use cases via ETL processes. Ability to articulate system architecture and identify gaps between current and target states. Experience leading global development teams across multiple time zones. Ability to foster a collaborative learning environment 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 ❯