301 to 325 of 1,097 Remote ETL Jobs

a 15% bonus, and a comprehensive benefits package. About the Role As a Lead Data Engineer, you will drive the strategic development of data engineering solutions, focusing on ETL processes, data migration, and the development of diverse data products. You’ll play a pivotal role in delivering robust, scalable, and efficient systems while collaborating with cross-functional teams to achieve … strategic goals. This hybrid position requires on-site presence three days per week. Key Responsibilities Lead the design, development, and implementation of ETL pipelines and data integration solutions. This role is a 60% hands on (Technical Leadership/Code Reviews/Actual Coding) and 40% management (Stand Up's/One to One's/Management Meetings) focused role. Manage … degree in Computer Science, Data Engineering, or a related field. 10+ years of experience in data engineering, with at least 5 years in a leadership role. Strong expertise in ETL tools such as Talend and programming with Python. Proven experience working with No-SQL databases and diverse data products. Knowledge of data migrations, real-time data processing, and relational database More ❯

a 15% bonus, and a comprehensive benefits package. About the Role As a Lead Data Engineer, you will drive the strategic development of data engineering solutions, focusing on ETL processes, data migration, and the development of diverse data products. You’ll play a pivotal role in delivering robust, scalable, and efficient systems while collaborating with cross-functional teams to achieve … strategic goals. This hybrid position requires on-site presence three days per week. Key Responsibilities Lead the design, development, and implementation of ETL pipelines and data integration solutions. This role is a 60% hands on (Technical Leadership/Code Reviews/Actual Coding) and 40% management (Stand Up's/One to One's/Management Meetings) focused role. Manage … degree in Computer Science, Data Engineering, or a related field. 10+ years of experience in data engineering, with at least 5 years in a leadership role. Strong expertise in ETL tools such as Talend and programming with Python. Proven experience working with No-SQL databases and diverse data products. Knowledge of data migrations, real-time data processing, and relational database More ❯

a 15% bonus, and a comprehensive benefits package. About the Role As a Lead Data Engineer, you will drive the strategic development of data engineering solutions, focusing on ETL processes, data migration, and the development of diverse data products. You’ll play a pivotal role in delivering robust, scalable, and efficient systems while collaborating with cross-functional teams to achieve … strategic goals. This hybrid position requires on-site presence three days per week. Key Responsibilities Lead the design, development, and implementation of ETL pipelines and data integration solutions. This role is a 60% hands on (Technical Leadership/Code Reviews/Actual Coding) and 40% management (Stand Up's/One to One's/Management Meetings) focused role. Manage … degree in Computer Science, Data Engineering, or a related field. 10+ years of experience in data engineering, with at least 5 years in a leadership role. Strong expertise in ETL tools such as Talend and programming with Python. Proven experience working with No-SQL databases and diverse data products. Knowledge of data migrations, real-time data processing, and relational database More ❯

a 15% bonus, and a comprehensive benefits package. About the Role As a Lead Data Engineer, you will drive the strategic development of data engineering solutions, focusing on ETL processes, data migration, and the development of diverse data products. You’ll play a pivotal role in delivering robust, scalable, and efficient systems while collaborating with cross-functional teams to achieve … strategic goals. This hybrid position requires on-site presence three days per week. Key Responsibilities Lead the design, development, and implementation of ETL pipelines and data integration solutions. This role is a 60% hands on (Technical Leadership/Code Reviews/Actual Coding) and 40% management (Stand Up's/One to One's/Management Meetings) focused role. Manage … degree in Computer Science, Data Engineering, or a related field. 10+ years of experience in data engineering, with at least 5 years in a leadership role. Strong expertise in ETL tools such as Talend and programming with Python. Proven experience working with No-SQL databases and diverse data products. Knowledge of data migrations, real-time data processing, and relational database More ❯

a 15% bonus, and a comprehensive benefits package. About the Role As a Lead Data Engineer, you will drive the strategic development of data engineering solutions, focusing on ETL processes, data migration, and the development of diverse data products. You’ll play a pivotal role in delivering robust, scalable, and efficient systems while collaborating with cross-functional teams to achieve … strategic goals. This hybrid position requires on-site presence three days per week. Key Responsibilities Lead the design, development, and implementation of ETL pipelines and data integration solutions. This role is a 60% hands on (Technical Leadership/Code Reviews/Actual Coding) and 40% management (Stand Up's/One to One's/Management Meetings) focused role. Manage … degree in Computer Science, Data Engineering, or a related field. 10+ years of experience in data engineering, with at least 5 years in a leadership role. Strong expertise in ETL tools such as Talend and programming with Python. Proven experience working with No-SQL databases and diverse data products. Knowledge of data migrations, real-time data processing, and relational database More ❯

a 15% bonus, and a comprehensive benefits package. About the Role As a Lead Data Engineer, you will drive the strategic development of data engineering solutions, focusing on ETL processes, data migration, and the development of diverse data products. You’ll play a pivotal role in delivering robust, scalable, and efficient systems while collaborating with cross-functional teams to achieve … strategic goals. This hybrid position requires on-site presence three days per week. Key Responsibilities Lead the design, development, and implementation of ETL pipelines and data integration solutions. This role is a 60% hands on (Technical Leadership/Code Reviews/Actual Coding) and 40% management (Stand Up's/One to One's/Management Meetings) focused role. Manage … degree in Computer Science, Data Engineering, or a related field. 10+ years of experience in data engineering, with at least 5 years in a leadership role. Strong expertise in ETL tools such as Talend and programming with Python. Proven experience working with No-SQL databases and diverse data products. Knowledge of data migrations, real-time data processing, and relational database More ❯

a 15% bonus, and a comprehensive benefits package. About the Role As a Lead Data Engineer, you will drive the strategic development of data engineering solutions, focusing on ETL processes, data migration, and the development of diverse data products. You’ll play a pivotal role in delivering robust, scalable, and efficient systems while collaborating with cross-functional teams to achieve … strategic goals. This hybrid position requires on-site presence three days per week. Key Responsibilities Lead the design, development, and implementation of ETL pipelines and data integration solutions. This role is a 60% hands on (Technical Leadership/Code Reviews/Actual Coding) and 40% management (Stand Up's/One to One's/Management Meetings) focused role. Manage … degree in Computer Science, Data Engineering, or a related field. 10+ years of experience in data engineering, with at least 5 years in a leadership role. Strong expertise in ETL tools such as Talend and programming with Python. Proven experience working with No-SQL databases and diverse data products. Knowledge of data migrations, real-time data processing, and relational database More ❯

for Data Engineers who value creativity, problem-solving, and a commitment to excellence. Responsibilities Design, develop, and maintain scalable data pipelines to process large datasets. Optimize data architecture and ETL processes for performance and reliability. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Ensure data quality and integrity throughout the data lifecycle. Implement and manage … or in a similar role Strong proficiency in SQL and Python for data manipulation Solid understanding of relational and non-relational databases Experience with data modelling , data warehousing , and ETL/ELT pipelines Familiarity with data orchestration tools (e.g., Airflow) Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Bonus: Experience with data lakes , streaming pipelines , or big More ❯

You'll play a key part in building scalable data pipelines, supporting cloud data architecture, and ensuring data quality, governance, and security. Key Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines on Azure Work closely with architects on data modelling and cloud storage solutions Implement CI/CD pipelines with Azure DevOps for automated deployment Apply best practices More ❯

a minimum requirement of 2 days in the office and the flexibility to work from home the rest of the week. What Will You Be Doing As Data Engineer ETL Maintenance Implementing new systems Building Data Marts Develop Native Databases Improve Data Literacy What are the qualities that can help you thrive as a Data Engineer? Essential Experience And Qualifications … Experience and knowledge in SQL databases Strong experience in Data movement methodologies and standards, ELT & ETL A self-motivated, enthusiastic problem solver, with the ability to work under pressure and prioritise workload in order to meet deadlines Educated to degree level BSc in Computer Science, Mathematics, Engineering or other STEM A strong team player with empathy, humility and dedication to More ❯

As well as good understanding of data architecture. To the level that you are able to engage with technical staff and data architectures or experts. Good knowledge of SQL, ETL technologies and data modelling. Knowledge of programming languages useful for data analytics such as Python Good knowledge of the Azure cloud data platform and the potential to use its services More ❯

engineering and platform engineering pipelines . Define, build, and maintain automated data validation and pipeline testing frameworks to ensure data reliability and accuracy. Design and execute test cases for ETL/ELT workflows, data transformations, and metadata-driven data pipelines . Validate platform engineering components , including infrastructure automation, CI/CD pipelines, and cloud-based data services . Collaborate closely … practices. Requirements Candidates should have: 5+ years of experience in data quality engineering, test automation, or software testing in data-intensive environments . Strong knowledge of testing data pipelines, ETL/ELT workflows, and big data solutions . Experience with cloud-based data platforms , particularly Azure Databricks, Azure Data Factory, and Synapse Analytics . Hands-on experience with test automation More ❯

execution, testing, and roll-out. Oversee and contribute to SQL development, including performance tuning, stored procedures, and high-volume data pipelines for reporting and analytics. Design, maintain and optimise ETL workflows to support data warehousing and reporting layers. Drive data quality and governance, ensuring robust validation and monitoring frameworks are in place. Promote knowledge sharing, mentoring junior team members and … safeguarding the integrity of business-critical data. What you'll bring Must-Haves: Proven experience in SQL development and optimisation, ideally within a financial reporting context. Solid experience with ETL tools and data warehousing principles. Strong analytical mindset with excellent Excel skills and experience in data manipulation. Leadership capability - able to manage projects, influence stakeholders, and drive continuous improvement. Excellent 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 ❯

technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data governance and quality frameworks to ensure data integrity and compliance. Collaborate with clients’ senior leadership to influence data-driven transformation initiatives. More ❯

technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data governance and quality frameworks to ensure data integrity and compliance. Collaborate with clients’ senior leadership to influence data-driven transformation initiatives. More ❯

Familiarity with data visualization tools such as Tableau or Power BI. Basic knowledge of programming languages like Python or R for data analysis. Understanding of data warehousing concepts and ETL processes. Experience with data quality and validation techniques. Strong analytical and problem-solving skills. Excellent attention to detail and accuracy in data handling. Good communication skills for presenting findings to More ❯

The business is investing heavily in its platform over the next 12 months, offering significant career growth for curious and ambitious talent. Key Responsibilities Maintain and improve Python-based ETL pipelines (~60 currently in production) Support the migration from on-premise to cloud-based SQL environments Keep dashboards and reporting chartbooks (Power BI & PDFs) up to date Implement basic data More ❯

The business is investing heavily in its platform over the next 12 months, offering significant career growth for curious and ambitious talent. Key Responsibilities Maintain and improve Python-based ETL pipelines (~60 currently in production) Support the migration from on-premise to cloud-based SQL environments Keep dashboards and reporting chartbooks (Power BI & PDFs) up to date Implement basic data More ❯

DATA are looking for a 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 ❯

interactive exercises, to facilitate effective learning Our Ideal Candidate Extensive experience in previous Business Intelligence, Data Visualization or Analytical roles Strong proficiency in dbt, SQL, dimensional data modeling and ETL processes Experience in product usage analytics Experience in multiple BI tools (e.g. Metabase, Qlik Sense, Looker, Google Data Studio) Significant experience with Python scripting for data extraction, processing, automation tasks … with Google Continue with Google Continue with Google Continue with Google London, England, United Kingdom 22 hours ago City Of London, England, United Kingdom 1 month ago Senior ODI ETL & OAS BI Banking Data Developer London, England, United Kingdom 2 weeks ago Senior Data Analyst (Operations) - Enterprise Product London, England, United Kingdom 1 week ago City Of London, England, United More ❯

opportunities for reuse of data flows across projects and teams. Ensure data quality, integrity, and performance optimisation throughout the data lifecycle. Design and manage metadata repositories, supporting metadata-driven ETL frameworks. Systems Integration: Ensure seamless integration between multiple data platforms and business systems. Troubleshoot and resolve data flow and system issues, collaborating closely with technical and non-technical stakeholders. Champion More ❯

Expert in SQL and database concepts including performance tuning and optimisation Solid understanding of data warehousing principles, data modelling practice Excellent knowledge of creation and maintenance of data pipelines - ETL Tools (e.g. Apache Airflow) and Streaming processing tools (e.g. Kinesis) Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data-related issues Proficient in data More ❯

providing technical patterns and guidance, building our data engineering capability and ensuring our data products and pipelines are built using the right techniques in how we ingest, prepare (through ETL processing), store and use data using the most appropriate method e.g. balancing low-code and cloud native loosely coupled components. Job description As Senior Data Engineer you will: Be responsible … leadership, setting engineering team and community direction to ensure the products that are developed conform to data standards and strategic principals Own and lead the redesign of existing SAS ETL data pipelines, for example to improve performance, resilience, or to account for system or platform change. Disseminate knowledge and best practice to wider team and Platform and Operations. Champion data … engineering ETL coding standards across Platform and Operations, ensuring consistent best coding practice and developments are brought into engineering teams and common codes standards factor into ETL pipelines. Provide expert review and scrutinise the coding approach of other data engineers to advise on good practice, including optimisation of performance and to ensure reliability across a variety of toolsets used in More ❯

availability, and resilience needs. Data Architecture Mastery - Skilled in developing batch and streaming data pipelines across on-premises and cloud ecosystems , with a strong grasp of data processing workflows (ETL/ELT, orchestration) and database technologies ( relational, NoSQL ). Analytical Problem-Solver - Ability to tackle complex challenges with strategic and innovative solutions that ensure scalability and reliability. Strong Communicator & Collaborator More ❯