1 to 25 of 277 Remote ETL Jobs

Key Responsibilities: Data Pipelines and ETL Processes ETL Design: Design and implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions. Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless … these tools. You will need to demonstrate the following skills and experience; Proven experience as a Data Engineer, with a focus on Azure services. Strong expertise in designing and implementing ETL processes. Experience in using SQL to query and manipulate data. Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and More ❯

Until 31/12/2025 (with possibility of extension) Pay rate: £335 per day inside IR35 Key Responsibilities: Assist in designing and developing ETL processes to extract, transform, and load data from various sources into data warehouses or data marts. Very good in Informatica development, setup and IDMC cloud migration Strong in writing SQL, joining between tables and compare … the table data Collaborate with team members to understand data requirements and translate them into technical specifications. Support the maintenance and enhancement of existing ETL processes to ensure data accuracy and reliability. Conduct data quality checks and troubleshoot issues related to ETL processes. Participate in code reviews and provide feedback to improve ETL processes and performance. Document ETL processes and … clear and comprehensive records. Learn and apply best practices in ETL development and data integration. Knowledge of Scripting languages (Python, Shell Scripting) is advantageous. Very good knowledge in Datawarehouse and ETL concepts Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Basic understanding of ETL concepts and processes. Familiarity with SQL and database concepts. Knowledge of More ❯

Embedded Analytics, and S/4HANA business processes. Proficiency in frontend tools such as Power BI, Tableau, or similar platforms. Strong understanding of data warehousing concepts, data modelling, and ETL processes. Strong understanding of SAP Datasphere and basic knowledge of SAP Business data cloud and Azure Databricks Excellent analytical and problem-solving skills, with the ability to work with complex More ❯

seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI More ❯

to support the successful integration of acquisitions and system upgrades. A strong background in Python programming is preferred, as the successful candidate will leverage Python to build and automate ETL (Extract, Transform, Load) processes, perform data validation and reconciliation, and develop custom scripts to facilitate data extraction and transformation between varied systems. Collecting and documenting data requirements. Pro-actively ensuring … platform and pipelines are reliable and robust, fixing issues as they arise and proposing & implementing stability improvements Develop, deploy and maintain ETL/ELT pipelines to automate financial data collection, transformation, validation and exception reporting Actively engaging with stakeholder across multiple departments. Data platforms administration Ensure relevant technical documentation is in place About you: We are looking for someone who … should have: Excellent writing and communication skills with an attention to detail Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Experience designing data warehouse technical architectures and infrastructure components Programming experience in Python Skills and experience we’d love you to have... Understanding More ❯

to support the successful integration of acquisitions and system upgrades. A strong background in Python programming is preferred, as the successful candidate will leverage Python to build and automate ETL (Extract, Transform, Load) processes, perform data validation and reconciliation, and develop custom scripts to facilitate data extraction and transformation between varied systems. Collecting and documenting data requirements. Pro-actively ensuring … platform and pipelines are reliable and robust, fixing issues as they arise and proposing & implementing stability improvements Develop, deploy and maintain ETL/ELT pipelines to automate financial data collection, transformation, validation and exception reporting Actively engaging with stakeholder across multiple departments. Data platforms administration Ensure relevant technical documentation is in place About you: We are looking for someone who … should have: Excellent writing and communication skills with an attention to detail Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Experience designing data warehouse technical architectures and infrastructure components Programming experience in Python Skills and experience we’d love you to have... Understanding More ❯

in shaping the future of data-driven decision-making across the institution. This is an exciting opportunity for someone with strong expertise in Azure, ADF, Azure SQL Server, pipelines, ETL, database, Dev-Ops, and Power to contribute to the development of cutting-edge data solutions, influence the organisation's BI strategy, and mentor others in best practices. Key Responsibilities Contribute More ❯

Data Engineer Responsibilities Design, develop, and maintain scalable data pipelines using Apache Spark on Databricks. Build and manage Delta Lake architectures for efficient data storage and retrieval. Implement robust ETL/ELT workflows using Databricks notebooks, SQL, and Python. Collaborate with AI/ML teams to operationalize models within the Databricks environment. Optimize data workflows for performance, reliability, and cost More ❯

engineering stakeholders to understand data requirements and design optimal solutions Define and enforce data quality, governance, and monitoring standards across the data platform Optimize the performance and scalability of ETL/ELT workflows and cloud-based data systems Own the roadmap for data infrastructure modernization, recommending new tools, technologies, and practices to improve efficiency and reliability Act as the primary More ❯

agenda, we should discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems More ❯

agenda, we should discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems More ❯

agenda, we should discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize data storage and retrieval systems More ❯

making, and strengthens our customer-centric approach. It's an exciting time to be part of the Data team at the Financial Ombudsman Service Key Responsibilities: Designing and maintaining ETL/ELT pipelines using Azure Data Factory, Synapse and Databricks. Collaborating with data modellers, analysts, and governance leads to ensure data quality and usability. Contribute to the design, implementation and More ❯

modernisation of the data estate, migrating legacy SQL Server warehouses into Azure. You will play a key role in shaping the new cloud data platform. Responsibilities: Build and optimise ETL/ELT pipelines with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models More ❯

DevOps and collaborate with the Software Delivery Manager and data engineering leadership. What you'll need Hands-on Databricks experience Strong Azure Cloud knowledge Proficient in SQL, Python, PySpark ETL & pipeline design (Matillion preferred, alternatives acceptable) Practical data modelling & pipeline architecture Terraform or Bicep for IaC About the company The company is one of the longest-established financial advice networks More ❯

DevOps and collaborate with the Software Delivery Manager and data engineering leadership. What you'll need Hands-on Databricks experience Strong Azure Cloud knowledge Proficient in SQL, Python, PySpark ETL & pipeline design (Matillion preferred, alternatives acceptable) Practical data modelling & pipeline architecture Terraform or Bicep for IaC About the company The company is one of the longest-established financial advice networks More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong communication skills with ability to translate between technical and non-technical stakeholders. Desirable More ❯

background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong communication skills with ability to translate between technical and non-technical stakeholders. Desirable More ❯

. Prior experience mentoring and developing junior engineers. Skills and Competencies Strong architectural design and problem-solving skills with the ability to build scalable, secure systems. Deep knowledge of ETL/ELT processes, data modeling, and API integrations. Effective communication skills with both technical and non-technical stakeholders. Proactive leadership style with a focus on developing talent and building sustainable More ❯

Experience translating business requirements into technical specifications. Comfortable working within complex and demanding Data & Analytics) environments. Proficiency in Python, PySpark, or other relevant programming languages. Understanding of data modelling, ETL processes, and data pipeline design. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing tools. Exposure to BI tools such as Power BI, Tableau, or Qlik. Knowledge of More ❯

mentorship and guidance from experienced professionals in the field. Project Support: Contribute to ongoing data and analytics projects, providing support in areas such as data extraction, transformation, and loading (ETL). Assist in the development and implementation of data-driven solutions to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed More ❯

mentorship and guidance from experienced professionals in the field. Project Support: Contribute to ongoing data and analytics projects, providing support in areas such as data extraction, transformation, and loading (ETL). Assist in the development and implementation of data-driven solutions to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed More ❯