251 to 275 of 1,095 Remote ETL Jobs

services (BigQuery, Cloud Storage, Dataflow) Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have: Knowledge of data governance, quality, and security best practices Experience working More ❯

to support project controls and reporting use cases. Implement integration of external data sources, including: Primavera P6 EPPM via REST and SOAP APIs. EMiR (WGM cost repository) through structured ETL/ELT processes and ODBC direct connection. Design and manage integrations with Microsoft Dataverse, PowerApps, SharePoint, and other systems as required. Establish and optimise Lakehouse and Data Warehouse structures to More ❯

their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data … in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for More ❯

their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You’ll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data … in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for More ❯

the successful candidate will: Design, develop, and maintain MS SQL Server databases and our Data Warehouse, ensuring optimal performance and reliability. Maintain SQL Server Integration Services (SSIS) packages for ETL processes. Work with Azure Data Factory (ADF) for cloud-based data processing and transformation. Implement SQL replication strategies and maintain data consistency across distributed systems. Develop and maintain Power BI … SQL, with a proven ability to write and optimize complex queries. Database schema design and performance tuning. Power BI and SSRS reporting tools for business intelligence solutions. SSIS for ETL processing and automation. Azure Data Factory (ADF) and cloud-based data solutions. SQL replication strategies and data synchronization techniques. Azure SQL and managed instances for cloud database management. Strong problem More ❯

background as a Data Architect , ideally within financial services or commodities trading . Proven experience with Azure , Databricks , and enterprise data lake solutions. Hands-on experience with data modelling , ETL/ELT pipelines , and data integration across multiple systems. Familiarity with tools like Kafka , Spark , and modern API-based architectures . Experience with relational databases such as Oracle and SQL More ❯

Ideally you will be based in Aberdeen or within a commutable distance of Aberdeen as the role cannot be worked remotely. Experience required: Proven competency working with data warehousing, ETL/ELT, integration tools and business intelligence solutions that will help to deliver the data and analytics strategy. Skills with Synapse (notebooks and data flows) is essential for Senior Data More ❯

Ideally you will be based in Aberdeen or within a commutable distance of Aberdeen as the role cannot be worked remotely. Experience required: Proven competency working with data warehousing, ETL/ELT, integration tools and business intelligence solutions that will help to deliver the data and analytics strategy. Skills with Synapse (notebooks and data flows) is essential for Senior Data More ❯

Object-Level Security Use tools such as Tabular Editor and DAX Studio for optimisation and deployment Collaborate with DevOps to implement CI/CD pipelines in Azure DevOps Support ETL/ELT processes using Azure Data Factory, Synapse, and related services Stay current with emerging technologies, including Microsoft Fabric, to shape future data strategies Deliver insights to technical and non More ❯

to our delivery of projects, BAU, and helping Ecotricity become more efficient by leveraging our data. In addition to the technologies above, we also use Python, APIs, and various ETL solutions interfacing with a small number of legacy systems. Responsibilities Take ownership for delivering all asks made of you on time and to specification. Build strong relationships with key stakeholders … in our people whenever we can. About You You will have considerable technical experience and a passion for developing data solutions. Handling data in any format, data modelling and ETL processes will all come naturally to you. You will have a demonstrable technical skillset as engineering skills are paramount to this role. Knowledge of the Energy industry would be useful More ❯

you'll learn fast, take ownership of tasks, and help bring clarity to business decisions through high-quality, well-documented data processes. What you'll do: Develop and maintain ETL/ELT pipelines and data models Support testing, validation, and optimisation of data processes Work with cloud technologies (Azure preferred) and modern DevOps tools Collaborate with business stakeholders to understand More ❯

are looking for a Lead Data Solutions Architect to work within a dynamic, remote-first data architectural capability to deliver cloud based data solutions using best-in-class RDBMS, ETL/ELT, and Cloud platforms for blue-chip customers across a range of sectors. You will lead cross-functional teams of Data Engineers, Architects, Business Analysts and Quality Assurance Analysts … solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Exposure to ETL/ELT processes, SQL, NoSQL databases is a nice-to-have, providing a well-rounded background. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with More ❯

help businesses and clients succeed. Collaborate with stakeholders to identify and define data requirements for analysis and reporting Creating, designing and developing data models Planning and development of all ETL processes and architectures Validating results and creating business reports and custom queries Monitoring and tuning data loads and queries Administer all requirements and design various functional specifications for data Develop More ❯

and mentorship to the team and leading by example across the activities within the Data Programme. REQUIREMENTS: Appropriate professional qualification or equivalent experience Proven competency working with data warehousing, ETL/ELT, integration tools and business intelligence solutions that will help to deliver the data and analytics strategy. Skills with Synapse (notebooks and data flows) is essential for Senior Data More ❯

Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem-solving skills. What's on More ❯

with data modeling and Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Daily tasks include, but are not limited to: Designing, building, and optimizing data pipelines and ETL workflows using Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation. Writing clean, efficient Python code for data engineering. Collaborating with data scientists More ❯

Architecture. Possess an innovative mindset that contributes to the experimentation and recommendation of industry latest tools and technologies for solving complicated enterprise level data problems. Collaborate with the ESD ETL, Datawarehouse and Reporting team to gather and store data from internal and external data sources, implement data quality measure that include data profiling and data quality rules management. Collaborate with More ❯

of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities Daily tasks include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation to ensure data availability and quality. Writing clean, efficient, and More ❯

hands-on development (C# and/or Python) Strong background in hedge fund, asset management, or financial markets Solid DevOps skills: CI/CD, containerisation, source control (e.g. Git) ETL experience with financial data (including tick data) SQL and database systems knowledge Familiarity with cloud (Azure ideal, others acceptable) Excellent communication skills - confident with stakeholders and leadership What You'll More ❯

You’ll design and deliver robust data solutions that support decision-making, asset management, and regulatory compliance in a highly secure, regulated environment. Your missions: Designing and building scalable ETL pipelines to integrate BIM and infrastructure data from diverse systems. Structuring and enriching complex datasets for reporting, insight, and operational use. Developing data models and maintaining databases that underpin asset More ❯

technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with SQL Server, Postgres, MySQL, Oracle 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 Experience developing partner relationships Specialized expertise in More ❯

practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data sets, identify issues, and generate actionable insights. Skilled in More ❯

practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data sets, identify issues, and generate actionable insights. Skilled in More ❯

ground then delivering on AI/ML opportunity. Key Accountabilities (major end results the job is expected to achieve): Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data. Collaborate with data scientists and analysts to understand data requirements and ensure the data infrastructure supports their needs. Monitor and More ❯

government/industry Hub and Spoke architecture patterns. Experience and detailed understanding of AWS and/or Azure data provision through a loosely coupled cloud stack including Data Integration (ETL/ELT) eg Spark and/or Informatica, Data Quality, Data Catalogue, data storage to provide multi-cloud analytical and insight data for our critical data analyst and data science More ❯