76 to 100 of 220 Remote/Hybrid ETL Jobs

development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

feel at home here. You'll work with: Designing and delivering scalable data solutions on Databricks Building and maintaining robust data pipelines and ETL workflows Working closely with senior data leaders on architecture and strategy Translating architectural designs into high-quality build plans Optimising large-scale data workflows for performance ...

and driving a data-driven culture Nice to have (not essential) Cloud exposure (Azure/Fabric/Power BI) and modern data platforms (warehouse, ETL/ELT) Experience with tooling such as data catalogues/metadata management/data quality tools If you’re looking for a role where ...

Previous experience in data processing, data analysis, or administration (preferred). Knowledge of data visualization tools such as Power BI (preferred). Familiarity with ETL processes, CRM/ERP systems, or data quality validation. Basic understanding of data protection and information security principles. Desirable Skills Experience with macros ...

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 ...

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 ...

Secure coding and API versioning Data & Integration SQL Server, Azure SQL, Cosmos DB ORM optimisation, caching (Redis, Azure Cache for Redis) Data migration and ETL integration (APIs, pipelines) Cloud & DevSecOps Azure DevOps (Repos, Pipelines, Boards, Artifacts, Test Plans) CI/CD automation, gated releases, and environment governance Infrastructure-as-Code ...

platform. You will work closely with data engineers, analysts, and architects to deliver high-quality, scalable data pipelines and models. Strong expertise in Snowflake, ETL/ELT, data modelling, and data warehousing is essential. Responsibilities Snowflake Development: Build and optimise Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors … . ETL/ELT Pipelines: Develop and maintain robust data pipelines using tools like dbt, Airflow, Azure Data Factory, or similar. Data Modelling: Implement dimensional models (star/snowflake schemas), handle SCDs, and design efficient structures for analytics. Performance Tuning: Optimise queries, manage clustering, caching, and warehouse sizing for cost ...

platform. You will work closely with data engineers, analysts, and architects to deliver high-quality, scalable data pipelines and models. Strong expertise in Snowflake, ETL/ELT, data modelling, and data warehousing is essential. Responsibilities Snowflake Development: Build and optimise Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors … . ETL/ELT Pipelines: Develop and maintain robust data pipelines using tools like dbt, Airflow, Azure Data Factory, or similar. Data Modelling: Implement dimensional models (star/snowflake schemas), handle SCDs, and design efficient structures for analytics. Performance Tuning: Optimise queries, manage clustering, caching, and warehouse sizing for cost ...

reporting requirements. Key responsibilities: Design and deliver Data Warehouses, Data Lakes and Lakehouse solutions Build data platforms primarily using Microsoft Fabric Develop and optimise ETL processes and data pipelines Work directly with clients to gather requirements and run technical workshops Translate business requirements into clear technical designs Support analytics and … Microsoft environment Hands-on experience with Microsoft Fabric, SQL Server and Power BI Strong SQL skills and experience with data modelling Experience building ETL processes and data pipelines Coding experience with Python, M or R Comfortable working in a customer-facing role Strong communication and problem-solving skills Desirable Experience ...

BlackLine, or Gresham) is a major plus. You speak 'Data' as well as 'Finance.' Comfort with SQL, data visualization (Tableau/Power BI), or ETL processes is highly desirable. Strong knowledge of Internal Control Systems (ICS) and experience designing controls for complex financial products. You don't just find ...

Location - London (Hybrid) Duration - 6 months (Initially) I've included key skills below (detailed job specification is attached): Strong understanding of ETL processes - including data extraction, transformation, and loading. Experience with database migration - validating and testing data movement across heterogeneous systems. Hands-on testing experience with Azure Data Factory - including ...

Location - London (Hybrid)Duration - 6 months (Initially)I've included key skills below (detailed job specification is attached): Strong understanding of ETL processes - including data extraction, transformation, and loading. Experience with database migration - validating and testing data movement across heterogeneous systems. Hands-on testing experience with Azure Data Factory - including ...

month in Edinburgh, this is outside IR35 paying £425 per day. Key responsibilities Design, build and maintain data pipelines on AWS Develop and manage ETL processes using AWS Glue Work with structured and semi-structured data to support analytics and reporting Collaborate with engineers, analysts and stakeholders across the business ...

reporting needs. Location - Chester, UK 3 days onsite role Key Skills & Responsibilities: Strong experience with Informatica IDMC (Data Integration, Cloud services) Design and develop ETL/ELT workflows Work with cloud and on-prem data sources Strong SQL and data warehousing knowledge Perform data validation, troubleshooting, and performance tuning Collaborate ...

experienced SQL DBA with an in-depth knowledge of designing and managing robust database systems, database administration/configuration, SQL Server, Cloud - Azure, and ETL pipelines The salary expectation for the SQL Database Administrator: * Salary: £55,000 - £60,000 per annum * 25 day's holiday * Pension Plan * Flexible working * Hybrid ...

Governance & Quality Tools: Tools: Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Technical Skills: Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Bachelor's degree in Information Management, Data Science, Business ...

tooling. Experience integrating telemetry into Splunk (HEC, UF, source types, CIM), building dashboards and alerting. Strong data engineering skills in Python (or similar) for ETL/ELT, enrichment, and validation. Knowledge of event schemas (Avro/Protobuf/JSON), contracts, and backward/forward compatibility. Familiarity with observability standards and ...

/4, ideally including tools such as: SAS Studio, Visual Analytics, Visual Investigator, VDMML, Intelligent Decisioning, Environment Manager Solid understanding of data modelling and ETL Experience with batch scheduling and job orchestration (Airflow and/or native SAS schedulers) Knowledge of SAS performance optimisation, including database connectivity Experience collaborating with ...

/4, ideally including tools such as: SAS Studio, Visual Analytics, Visual Investigator, VDMML, Intelligent Decisioning, Environment Manager Solid understanding of data modelling and ETL Experience with batch scheduling and job orchestration (Airflow and/or native SAS schedulers) Knowledge of SAS performance optimisation, including database connectivity Experience collaborating with ...

ambiguous problems independently. Bonus Skills: Experience with large-scale data processing or streaming, particularly in a security-focused context. Background in data engineering, including ETL pipelines and schema evolution. Familiarity with DevOps practices, CI/CD pipelines, and monitoring. Experience deploying services in cloud environments. Previous work within Agile, DevOps ...

Core/C#, REST API development, and cloud‐based application development. Experience integrating external systems using REST/GraphQL APIs, message queues, webhooks, or ETL tools. Familiarity with Azure services such as Functions, App Services, Storage, Key Vault, and Service Bus or Kafka. Excellent problem‐solving and communication skills, with ...

Skills & Qualifications A broader understanding of machine learning algorithms. Exposure to multimodal AI (text + vision, speech). Data engineering and analysis skills including ETL pipelines and feature engineering. Familiarity with MLOps/DevOps pipelines, monitoring, and retraining. Understanding of knowledge graphs, embeddings optimisation, and enterprise search integration. Strong collaboration ...