26 to 50 of 272 Remote ETL Jobs

building and guiding high-performing engineering teams • Strong hands-on expertise in cloud platforms (GCP, AWS, or Azure) with emphasis on cloud-native architectures • Deep understanding of data engineering - ETL/ELT, real-time/batch processing, data lakes/warehouses, and data governance • Track record of delivering complex, scalable systems that drive measurable business impact • Strong software engineering foundation More ❯

Design and maintain robust data models and storage solutions mainly using but not limited to SSIS, XML, T-SQL (SSMS) & python. Design, develop, and maintain APIs Optimize performance of ETL/ELT processes and database queries. Implement monitoring and alerting for data workflows. Collaboration & Stakeholder Engagement Work closely with analysts understand data needs. Translate business requirements into technical solutions. Document More ❯

Technical Requirements of the Successful Candidate: Proven experience delivering data solutions using Microsoft Fabric, including OneLake, Dataflows, Notebooks, and Power BI.? Strong understanding of data architecture, data modeling, and ETL/ELT processes.? Experience with Azure Data Services (e.g., Synapse, Data Factory, Databricks) is a plus.? Demonstrates an understanding of enterprise BI and Data Warehousing tools, concepts and methods? Experience More ❯

of experience in data engineering (healthcare/medical devices preferred but not required) Strong Python programming and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for data pipelines Understanding of data privacy and More ❯

BI Data Analyst Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write 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 ❯

to trying new things and explore better ways of working. It's a mega opportunity to join and make a difference! You'll be helping to design and manage ETL/ELT pipelines, making sure data flows smoothly and reliably across the business. You'll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep More ❯

to trying new things and explore better ways of working. It's a mega opportunity to join and make a difference! You'll be helping to design and manage ETL/ELT pipelines, making sure data flows smoothly and reliably across the business. You'll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep More ❯

and ensure technical delivery aligns with business needs Translate business requirements into logical and physical data models that support scalable, high-performance analytics and reporting solutions Build and automate ETL/ELT pipelines using tools such as Azure Data Factory, as well as scripting with Python and PowerShell Create dashboards and data visualisations using Power BI, focusing on usability, interactivity More ❯

data science technologies. Strong and demonstrable experience with programming languages such as Python (used NumPy, Pandas, etc.). Strong knowledge of data architectures and systems - SQL and others for ETL purposes. Strong knowledge of DevOps, particularly using the Repo and pushing and pulling source code with versioning. Ability to work with MS Azure cloud tools. Intermediate C# and PowerShell scripting More ❯

NumPy, and PySpark Strong understanding of distributed computing, with experience using frameworks like Databricks Strong experience with Azure or other cloud platforms (AWS) Strong experience building data pipelines or ETL tools and Orchestration frameworks such as Airflow Strong experience and appreciation of CI/CD implementation Good experience with implementing automated testing Good experience with Infrastructure as Code with Terraform More ❯

Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads. Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. Demonstrate applied understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps More ❯

the data infrastructure that feeds our intelligent systems. Your responsibilities will include: Design and Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models. Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy, integrity, and compliance with internal and More ❯

detail. Strong communication and presentation skills to explain complex data in simple terms. Preferred Qualifications Experience working with large datasets and relational databases. Knowledge of data warehousing concepts and ETL processes. Background in business analysis or domain-specific data analytics. What We Offer Pre job Industrial Training to prepare you for the job. Certification, resume preparation will be done. Employer More ❯

in Master Data Governance in multi-site production & distribution organization Experience with BI tools and reporting systems (Power BI, DAX, SQL, Advanced Excel) Experience in building or working with ETL tools is a must Excellent communication skills and ability to work across departments, locations and countries. Proactive, detail-oriented, and technically minded with a problem-solving mindset. Other languages (Polish More ❯

technologies including Hadoop and Spark for large-scale dataset processing Deep understanding of data security frameworks, encryption protocols, access management and regulatory compliance Proven track record building automated, scalable ETL frameworks and data pipeline architectures Outstanding analytical and problem-solving abilities with talent for converting business needs into technical solutions Excellent stakeholder management and documentation skills Team leadership experience with More ❯

Good SQL skills, you know your way around a database. Some exposure to a cloud-based data warehouse such as Snowflake, Redshift, Big Query or similar. Some knowledge of ETL/ELT and data automation. A desire to work with complex Salesforce detail and master that data. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills More ❯

and ensure technical delivery aligns with business needs Translate business requirements into logical and physical data models that support scalable, high-performance analytics and reporting solutions Build and automate ETL/ELT pipelines using tools such as Azure Data Factory, as well as scripting with Python and PowerShell Use Power BI to create dashboards and data visualisations, focusing on usability More ❯

stages. Key Qualifications: Relevant experience in business intelligence, IT support, data science, or analytics. Strong knowledge and experience with Power BI, Power Apps, and Power Automate. Knowledge of SQL, ETL, DAX, and data modelling is an asset. Desirable: Exposure to cloud-scale data processing tools such as Azure Data Factory or Databricks to support advanced analytics workflows. Experience producing datasets More ❯

and maintenance of our data infrastructure, driving our large-scale programmes in the USA. Your primary responsibilities will include : Design & Development: Create, develop, and maintain scalable data pipelines and ETL processes across various systems. Data Integration: Build and manage seamless data integrations from diverse sources, including POS systems, e-commerce platforms, RFID sensors, IoT devices, and CRM systems. Data optimisation More ❯