176 to 200 of 462 Remote/Hybrid ETL Jobs

with Digital Transformation and IT to leverage cloud-based data technologies and modern data platforms. Drive best practice across data engineering, including data pipelines, ETL/ELT, data modelling and Medallion architecture. Oversee the development of high-quality dashboards, Management Information and analytical products for Executive, management and operational audiences. … Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing data pipelines, ETL/ELT processes and modern data models. Practical understanding of modern data architecture approaches, including Medallion architecture. Experience delivering Management Information, dashboards and executive-level ...

using Azure Databricks , Azure Data Factory , and Azure SQL Database . Optimise Databricks environments for performance, cost, and security. Develop and maintain data integration , ETL/ELT processes, and data quality frameworks. Translate business requirements into data models, ensuring consistency and accuracy across data layers. Work with stakeholders to deliver … integration environments. 8–10 years’ experience in data engineering and integration , ideally in enterprise‐scale environments. Hands‐on experience with Spark (PySpark/SparkSQL) , ETL/ELT design, and data pipeline orchestration . Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with ...

technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data … Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch and real-time data processing, and cloud-native data platforms Strong understanding of data governance, security, architecture best practices ...

technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data … Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch and real-time data processing, and cloud-native data platforms Strong understanding of data governance, security, architecture best practices ...

cross-functional teams to create end-to-end data solutions that support our analysts and business teams Design, implement, and optimise a cloud-based Extract-Load-Transform (ELT) platform to reshape RVU’s data infrastructure and data warehouse Become an expert on handling behavioural data from more than three websites … Experience building, designing, refactoring or optimising data lakes and data warehouses from a variety of data sources using data modelling techniques Experience in Building Extract Transform and Load (ETL) pipeline (streaming/batch) using MPP frameworks (Spark, Beam, or other) Experience in orchestrating complex pipelines using Airflow, Dagster or other ...

users and tooling. The role is 100% remote. Key Responsibilities Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform. Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure. Develop … with Azure data services. Strong understanding of data modeling concepts and relational and non-relational databases. Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks). Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage). ...

Responsibilities Practical experience in back‐end automated testing using C# (minimum 5+ years’ experience). Hands on testing experience using MS Azure technologies (ETL, Microservices, Messaging and Service Bus technology). Experience of automating front‐end applications with Typescript/Playwright. Solid understanding of .Net with practical experience using .Net ...

Strong problem‐solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self‐hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on‐premise Bonus Skills Specialized expertise ...

days in the office and a fixed-term contract. The position requires 9+ years of experience in data engineering, with expertise in SQL, ETL, Power BI, Tableau and data modelling. Collaboration with engineering, operations and security teams is essential. #J-18808-Ljbffr ...

Analytics in London is seeking an AWS Data Engineer to join our hybrid team. You will design, build and optimise scalable data pipelines and ETL/ELT processes, using Python, SQL and Spark to manage large consumer datasets. You will collaborate with analytics and data science teams, apply AWS data ...

team to scope and redevelop data solutions for enterprise reporting and analytics. The role requires strong SQL, Python and C# skills, with experience in ETL/ELT pipelines, data warehousing concepts and GDPR-compliant data handling. Hybrid work from Oxford is supported. #J-18808-Ljbffr ...

complex technical concepts for non-technical audiences, design end-to-end data platforms using Fabric, Azure Synapse, Databricks and Power BI, and build robust ETL/ELT pipelines with strong data governance. #J-18808-Ljbffr ...

extensive leadership experience managing projects with OCPM and Case Centric Data Pipelines. Industry standard certifications such as AWS/Azure/GCP, ESB/ETL (Mulesoft, Oracle, SAP, Talend, Informatica), or TOGAF/Zachmann. Experience spanning at least two domains (e.g., Finance, Manufacturing, Supply Chain, HR) and at least ...

Driven Development (SDD), API's and REST services, and Continuous engineering practices Database engines and technologies (SQL MI, Azure SQL etc. Data pipelines and ETL processes using Azure Data Factory, Data Flow, Databricks/Spark (using Python & associated frameworks) and Azure storage (data lake, blob) You will need an Agile ...

complex environments. Key Responsibilities Lead the design and implementation of scalable data architectures on the Databricks Lakehouse platform. Oversee the development of efficient ETL/ELT pipelines using PySpark, SQL, and Delta Lake. Mentor and guide junior data engineers, promoting best practices in code quality, CI/CD, and performance ...

enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) #J-18808-Ljbffr ...

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

Write maintainable, testable code and enjoy providing code reviews Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance Be strong in Python, SQL, and PySpark Be passionate about building data products for stakeholders and customers, ensuring ...

will work directly with on-premise SQL Server Always On environments using T-SQL and SQL Server Management Studio, with no reliance on SSIS, ETL or data pipeline tooling. SQL Server Database Developer - Key Responsibilities: - Develop, maintain and optimise Microsoft SQL Server databases, stored procedures, views, functions and other database ...

cost visibility Experience deploying and maintaining PHP systems, including PHP 7 and PHP 8 Strong experience working with Linux systems, particularly Ubuntu Familiarity with ETL processes and tools Experience working with relational databases including SQL, MySQL, and PostgreSQL Experience deploying and maintaining MPP data warehouses such as Snowflake or similar ...

Computer Science or in a directly related IT disciplineAt least 1-2 years' experience with handling big data projects using SQL and Python. ETL/ELT, Data warehousing ConceptsYou can demonstrate tangible experience using AWS and/or DatabricksExcellent communications skills: an ability to communicate with impact, ensuring complex information ...

services, flow governance and operational monitoring. Proven experience delivering API integrations, file-based integrations, legacy system interfaces and bespoke data connectors. Experience building secure ETL and ELT pipelines for structured, semi-structured and unstructured data. Experience within MOD, Defence or secure government environments involving different security classifications. Strong understanding ...

and data teams through scale-out and delivery. Data experience: Deep knowledge and experience in areas such as Data Strategy, Data Platform, Data Engineering (ETL, Data Warehouse), Traditional Data Science (AI/ML), Data Governance and Cloud Technologies (Azure, GCP or AWS). Nice to have experience would include Experience ...

demonstrate the ability to transfer that knowledge into an Azure environment. Experience with high‐availability infrastructure, PostgreSQL or MongoDB, AI/ML infrastructure, ETL/data pipelines, FinOps or SOC 2/ISO 27001 environments would be a bonus. Above all, we’re looking for someone who enjoys automating away ...