76 to 100 of 1,095 Remote ETL Jobs

Hands-on experience in cloud-based database environments (Azure SQL, AWS RDS, etc.). Exposure of working with MS Fabric, data lakes, and cloud-based database architectures. Familiarity with ETL pipelines and data warehousing concepts. Knowledge of high-availability (HA) and disaster recovery (DR) solutions. Strong problem-solving skills and the ability to troubleshoot complex performance issues. Excellent communication skills More ❯

Business Intelligence solutions using Alteryx for data preparation, SQL for data transformation and storage, Tableau for data visualization, and R/Python for advanced analytics. •Design, implement, and maintain ETL pipelines using Alteryx to extract data from diverse source systems (e.g., relational databases, APIs, flat files), transform it according to defined business rules and data quality standards, and load it … or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. •Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in Alteryx Designer, including the ability to design and implement complex ETL workflows, and optimize performance. •Data Visualization Proficiency: Proficiency in Tableau Desktop, including the ability to create More ❯

Responsibilities Develop, maintain, and optimize BI solutions (dashboards, reports, and data visualizations). Work with stakeholders to define business requirements and translate them into actionable insights. Design and manage ETL/ELT processes to transform raw data into structured and meaningful formats. Optimize data models and data warehouses to improve reporting performance. Implement data governance, quality, and security best practices. … Strong proficiency in SQL, Python, or R for data manipulation and analysis. Hands-on experience with BI tools (Power BI, Tableau, Looker, Qlik, etc.). Experience with data modeling, ETL/ELT development, and data warehousing (Snowflake, BigQuery, Redshift). Familiarity with cloud platforms (AWS, Azure, Google Cloud) for BI and analytics. Understanding of data governance, security, and GDPR compliance More ❯

a Data Engineer, you’ll develop test and deploy large scale data integrations from internal and third party sources, support the maintenance of complex data storage solution and implemented ETL processes to clean and transform complex data sets. You’ll use data validation and quality assurance processes to ensure data accuracy and ensure data products are built in line with … preferably Microsoft Azure and Data Bricks, however, we’re also open to applications from candidates with experience from other cloud providers like AWS or GCP. Strong technical experience with ETL techniques, programming languages and data engineering tools such as SQL, Python, R and Apache is fundamental for the role, as is good knowledge of data integration and data quality management … a Data Engineer, you’ll develop test and deploy large scale data integrations from internal and third party sources, support the maintenance of complex data storage solution and implemented ETL processes to clean and transform complex data sets. You’ll use data validation and quality assurance processes to ensure data accuracy and ensure data products are built in line with More ❯

Analysts and Scientists to optimise data quality, reliability, security, and automation. Skills & Responsibilities: Core responsibility will be using the NHS Secure Data Environment which utilises databricks, to design and extract regular datasets. Configure and troubleshoot Microsoft Azure, manage data ingestion using LogicApps and Data Factory. Develop ETL scripts using MS SQL, Python, handle web scraping, APIs, and relational databases. Familiarity More ❯

Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of programming languages such as Python or R for data manipulation and analysis Strong analytical More ❯

a Data Engineer, you'll develop test and deploy large scale data integrations from internal and third party sources, support the maintenance of complex data storage solution and implemented ETL processes to clean and transform complex data sets. You'll use data validation and quality assurance processes to ensure data accuracy and ensure data products are built in line with … preferably Microsoft Azure and Data Bricks, however, we're also open to applications from candidates with experience from other cloud providers like AWS or GCP. Strong technical experience with ETL techniques, programming languages and data engineering tools such as SQL, Python, R and Apache is fundamental for the role, as is good knowledge of data integration and data quality management More ❯

concepts into clear, actionable insights. Collaborate cross-functionally to align data strategy with business objectives. Requirements What we're looking for? 2-3+ years experience in Data Engineering, ETL Development, or Database Administration. Prior experience working with business intelligence, analytics, or machine learning teams. Experience in cloud-native data solutions and real-time data processing. Proficiency in Python, SQL … for ETL & data transformation). Knowledge of GDPR, data security best practices, and access control policies Strong problem-solving and analytical skills to optimise data processes. Excellent collaboration and communication skills to work with cross-functional teams. Ability to translate business requirements into technical solutions. Strong attention to detail and commitment to data quality. Thomas Assess - How We Hire At More ❯

Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities: Your daily tasks will 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 to ingest, store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and More ❯

data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data More ❯

discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: 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 ❯

discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: 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 ❯

discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: 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 ❯

discuss how your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Data Engineering Focus: 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 ❯

initiatives. What You’ll Do Integrate new data sources (e.g. D365) into the enterprise data warehouse Design scalable data models and perform source-to-target mapping Build and automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical … documentation and support data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power Automate, Python or R About You Experienced Data Engineer with strong ETL, SQL, and data modelling skills Proficient in the Microsoft data stack Confident working in Agile teams and regulated environments Strong More ❯

initiatives. What You’ll Do Integrate new data sources (e.g. D365) into the enterprise data warehouse Design scalable data models and perform source-to-target mapping Build and automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical … documentation and support data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power Automate, Python or R About You Experienced Data Engineer with strong ETL, SQL, and data modelling skills Proficient in the Microsoft data stack Confident working in Agile teams and regulated environments Strong More ❯

. Collaborate with Data Engineers, Analysts, and Business Teams to optimize data workflows. Assess and improve data quality, integrity, and performance across the organization. Lead the adoption of modern ETL/ELT, big data, and real-time processing solutions. Stay up to date with emerging data technologies and industry trends. Requirements Fluent in French or Dutch (English proficiency is a … consulting capacity. Strong expertise in data modeling, database design, and cloud-based data platforms . Hands-on experience with data warehousing solutions (Snowflake, BigQuery, Redshift, etc.). Knowledge of ETL/ELT frameworks, pipeline orchestration (Airflow, dbt), and big data technologies (Spark, Kafka, Hadoop, etc.) . Solid understanding of data governance, security, and compliance regulations (GDPR, ISO, etc.) . Strong More ❯

With major transformation initiatives underway, this is an opportunity to have impact from day one while helping shape the future of reporting and analytics. Key Responsibilities: Maintain and extend ETL pipelines and support the firm’s data warehouse infrastructure. Work closely with business teams to understand data and reporting needs. Develop and enhance Power BI dashboards and reporting solutions. Assist … Power Query CI/CD tooling What We’re Looking For: A hands-on data engineer or BI engineer with solid SQL skills and experience in building or maintaining ETL processes. Someone who thrives in a fast-paced, high-accountability environment with direct access to stakeholders. Experience working in a financial, regulated, or data-critical environment preferred — though not essential. More ❯

With major transformation initiatives underway, this is an opportunity to have impact from day one while helping shape the future of reporting and analytics. Key Responsibilities: Maintain and extend ETL pipelines and support the firm’s data warehouse infrastructure. Work closely with business teams to understand data and reporting needs. Develop and enhance Power BI dashboards and reporting solutions. Assist … Power Query CI/CD tooling What We’re Looking For: A hands-on data engineer or BI engineer with solid SQL skills and experience in building or maintaining ETL processes. Someone who thrives in a fast-paced, high-accountability environment with direct access to stakeholders. Experience working in a financial, regulated, or data-critical environment preferred — though not essential. More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects … an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines … ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you.Key Responsibilities:Design, develop, maintain, and optimise data pipelines, ETL processes, and databases.Drive continuous improvement by refining processes, products, and identifying new tools, standards, and practices.Collaborate with teams across the business to define solutions, requirements, and testing More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects … an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines … ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you. Key Responsibilities: Design, develop, maintain, and optimise data pipelines, ETL processes, and databases. Drive continuous improvement by refining processes, products, and identifying new tools, standards, and practices. Collaborate with teams across the business to define solutions More ❯

Gaming, and TransferGo. Our products are recognised by industry leaders like Gartner's Magic Quadrant, Forrester Wave and Frost Radar. Our tech stack: Superset and similar data visualisation tools. ETL tools: Airflow, DBT, Airbyte, Flink, etc. Data warehousing and storage solutions: ClickHouse, Trino, S3. AWS Cloud, Kubernetes, Helm. Relevant programming languages for data engineering tasks: SQL, Python, Java, etc. What … you will be doing: Designing and developing scalable and efficient data pipelines, ETL processes, and data integration solutions to support data ingestion, processing, and storage needs. Ensuring data quality and reliability by implementing data validation, data cleansing, and data quality monitoring processes. Optimising database performance by tuning queries, implementing indexing strategies, and monitoring and analysing system performance metrics. Collaborating with … stakeholders to define data strategies, implement data governance policies, and ensure data security and compliance. About you: Strong technical proficiency in data engineering technologies, such as Apache Airflow, ClickHouse, ETL tools, and SQL databases. Deep understanding of data modeling, ETL processes, data integration, and data warehousing concepts. Proficiency in programming languages commonly used in data engineering, such as Python, Java More ❯

identifying any risks or challenges related to migration. You’ll also support planning and implementation—making sure no data is lost or overlooked during the transition. Designing and implementing ETL pipelines as part of a large-scale ERP migration. Building a federated, enterprise-wide data model—ensuring accessibility, consistency, and usability. Supporting seamless data migration from legacy systems, ensuring integrity … for data transformation and analysis. Promoting best practices in data compliance, governance, and security. WHAT DO YOU NEED TO BE SUCCESFUL? Proven experience in data engineering, data modelling, and ETL development. Strong hands-on skills with SQL, Python, and Microsoft tools (Azure, Power BI, Power Apps). Previous experience working on similar migration and integration from legacy ERP systems. A More ❯

platform. Strong Data Warehouse experience, hands-on experience with designing, building, and managing DW ideally using Kimball methodology. Hands on with Azure tooling, expertise in Azure Data Factory ADF (ETL processes), Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps. Experience in optimizing data loads to ensure reliability, scalability, and high performance, with a focus on reducing processing times … a solid understanding of advanced data technologies and practices. Hands on with Integration such as integrating data from a range of sources, ensuring data accuracy and consistency throughout the ETL process. The ability to work closely with the wider business, stakeholders, and other teams to align data solutions with business objectives. Familiarity with CI/CD pipelines and agile workflows. More ❯

platform. Strong Data Warehouse experience, hands-on experience with designing, building, and managing DW ideally using Kimball methodology. Hands on with Azure tooling, expertise in Azure Data Factory ADF (ETL processes), Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps. Experience in optimizing data loads to ensure reliability, scalability, and high performance, with a focus on reducing processing times … a solid understanding of advanced data technologies and practices. Hands on with Integration such as integrating data from a range of sources, ensuring data accuracy and consistency throughout the ETL process. The ability to work closely with the wider business, stakeholders, and other teams to align data solutions with business objectives. Familiarity with CI/CD pipelines and agile workflows. More ❯