101 to 125 of 257 Remote/Hybrid ETL Jobs

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 ...

Data Analytics Sales Executive - Data Sales, Talend, Snowflake, Apache Spark, Kafka, Dataops, AWS, Azure, Data visualisation, SQL, ETL, Pre-Sales, Account Manager, SaaS Sales, Cloud Solutions, Digital Transformation, Business Development, Sales Consultant, CXO Engagement, Strategic Accounts, Deal Negotiation, Remote Working, UK-wide, Permanent Role, Sales Targets, New Business, Sales Leadership ...

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 ...

data engineering at a senior level Strong hands-on knowledge of Databricks Experience with Azure or AWS cloud platforms 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 ...

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 ...

security clearance requirements Both SQL (e.g. MS SQL, Oracle...) and NoSQL skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development skills, e.g. Python Big data technologies knowledge, e.g. Hadoop stack Containerization experience, e.g. Docker, Kubernetes Understanding of generative AI, NLP (Natural Language Processing ...

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 ...

address threats and reduce risk (DLP/DSPM, CNAPP, vulnerability scanners, endpoint security, etc.) Data Platforms: Familiarity with DWH, Databases, cloud storage systems, Data ETL systems Automation Pro: Proficiency in using CI/CD pipelines (e.g., Terraform) for implementing automated security testing and change management. Cloud Deployment: Hands-on experience ...

sources using Kimball Dimensional Modelling techniques. Good knowledge of data warehousing and data modelling. Knowledge of a cloud data warehouse (ideally Snowflake). Strong ETL skills and experience. Strong SQL programming and knowledge of other relevant skills - PowerBI, DAX, M-Query Security knowledge In addition to the technical skills required ...

data engineering functions, ideally within complex organisation - Advanced skills in automation tooling (e.g. RPA, workflow automation, integrations, APIs) - Advanced skills in data engineering (ETL/ELT, data modelling, pipelines). - Experience of line management, motivating and supporting a technical team - Good communication skills with the ability to explain technical concepts ...

projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and ...