376 to 400 of 484 ETL Jobs in London

to manage your own workload and juggle multiple priorities Nice to have: Background in retail/eCommerce integrations Exposure to other iPaaS platforms (eg, MuleSoft, Boomi, Celigo) Familiarity with ETL/ELT tools and agile methodologies Salary: £55,000 Location: Remote (UK-based) If you're interested in the role and have all the requirements than please send your most More ❯

to manage your own workload and juggle multiple priorities Nice to have: Background in retail/eCommerce integrations Exposure to other iPaaS platforms (e.g., MuleSoft, Boomi, Celigo) Familiarity with ETL/ELT tools and agile methodologies Salary: £55,000 Location: Remote (UK-based) If you're interested in the role and have all the requirements than please send your most More ❯

We are looking for someone with experience managing System Integrators, Data Warehouse, ETL, and Hadoop Implementation companies, cloud, and data alliances worldwide, with a focus on the EMEA markets. The Skills You'll Need: You have at least 10 -15+ years of relevant partner management and sales experience. You are a team player and enjoy making others successful. You More ❯

We are looking for someone with experience managing System Integrators, Data Warehouse, ETL, and Hadoop Implementation companies, cloud, and data alliances worldwide, with a focus on the EMEA markets. The Skills You'll Need: You have at least 10 -15+ years of relevant partner management and sales experience. You are a team player and enjoy making others successful. You More ❯

managing queues for SLA compliance. Willingness to work with sensitive issues, including adult content, religious and philosophical issues, and potentially offensive products. PREFERRED QUALIFICATIONS Knowledge of databases (SQL, MySQL, ETL) and working with large datasets. Experience managing critical operational processes with SLA responsibility. Our inclusive culture empowers Amazonians to deliver the best results. If you need workplace accommodations during the More ❯

are able to think about system design and architecture Mentoring senior data scientists Experience delivering business impact through data and machine learning products Experience building data pipelines and driving ETL design decisions Experience creating data product strategies, shipping data products, iterating after launch, and trying again Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to …/Databricks and Java/Python, as well as experience with Microservices Architecture and Continuous Integration. Exposure to NUnit, MSTest and Junit would be beneficial, along with knowledge of ETL, Azure DevOps, AWS, and Jenkins. There is a vast amount of knowledge and experience within the business to share with the right person, so the right attitude, cultural fit, collaboration More ❯

Your work will be vital to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas … Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You’ll demonstrate a strong focus on data quality and 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 ❯

scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform 5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies 6. Must possess strong verbal and written communication skills, be self-driven, and … with your peers in a group of very smart and talented engineers. BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with SQL - Experience with data modeling, warehousing and building ETL pipelines - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience as a data engineer or related specialty (e.g., software engineer More ❯

our Marketing Data Engineers, you'll: be responsible for data connectivity, ensuring seamless data flow between marketing platforms and our data warehouse. work extensively with SQL to extract, transform, and load data for marketing analysis. work in an agile environment, you'll collaborate with marketing stakeholders to prioritize technical work. be part of a friendly team that values your ideas More ❯

systems, enhancing CI pipelines for swift and secure deployments, and architecting a Python API to integrate data science models seamlessly. Operating within the GCP ecosystem, you'll harness Python, ETL pipelines and Datadog for observability. Furthermore, as a Senior, you will take the lead with regard to the architectural optimisation, directing how things should be done and championing best practices. More ❯

Work closely with clients and cross-functional teams. Mentor colleagues and contribute to capability building. What We're Looking For: Strong Snowflake cloud platform experience Experience in Python, scripting, ETL/ELT pipelines. 4+ years in Data & AI consulting. Proven experience in client management, project leadership, and team collaboration. What's on Offer: Annual Leave Full Private Healthcare 8% Pension More ❯

of online retail and internet search industries. Ability to review workflows and contribute to process improvements. Willingness to handle sensitive content responsibly. PREFERRED QUALIFICATIONS Experience with databases (SQL, MySQL, ETL) and large data sets. Experience managing operational processes with SLA responsibilities. We support an inclusive culture. If accommodations are needed during the application or onboarding process, please visit Amazon is More ❯

with the product team to provide customer feedback and contribute to the product roadmap Identify and document data types, rules, mapping, and conversion requirements Work with system integration and ETL processes Coordinate and design system and user acceptance testing Maintain system documentation for internal and external use Identify and escalate deficiencies in technical work and implementation plans Participate in ongoing More ❯

supporting systems in production, especially in public or hybrid cloud environments Demonstrated ability to troubleshoot, monitor, and enhance large-scale systems Strong understanding of cloud architectures, service-oriented design, ETL frameworks, and security principles Capable of designing moderately complex systems and choosing appropriate technologies based on use cases Familiarity with compliance requirements and secure software design Effective communicator with the More ❯

supporting systems in production, especially in public or hybrid cloud environments Demonstrated ability to troubleshoot, monitor, and enhance large-scale systems Strong understanding of cloud architectures, service-oriented design, ETL frameworks, and security principles Capable of designing moderately complex systems and choosing appropriate technologies based on use cases Familiarity with compliance requirements and secure software design Effective communicator with the More ❯

supporting systems in production, especially in public or hybrid cloud environments Demonstrated ability to troubleshoot, monitor, and enhance large-scale systems Strong understanding of cloud architectures, service-oriented design, ETL frameworks, and security principles Capable of designing moderately complex systems and choosing appropriate technologies based on use cases Familiarity with compliance requirements and secure software design Effective communicator with the More ❯

supporting systems in production, especially in public or hybrid cloud environments Demonstrated ability to troubleshoot, monitor, and enhance large-scale systems Strong understanding of cloud architectures, service-oriented design, ETL frameworks, and security principles Capable of designing moderately complex systems and choosing appropriate technologies based on use cases Familiarity with compliance requirements and secure software design Effective communicator with the More ❯

supporting systems in production, especially in public or hybrid cloud environments Demonstrated ability to troubleshoot, monitor, and enhance large-scale systems Strong understanding of cloud architectures, service-oriented design, ETL frameworks, and security principles Capable of designing moderately complex systems and choosing appropriate technologies based on use cases Familiarity with compliance requirements and secure software design Effective communicator with the More ❯

infrastructure to ensure the reliability and efficiency of our data and systems used by our Machine Learning team. Your role will include creating and maintaining data pipelines that transform and load data from various products and managing the AWS infrastructure for our machine learning platform. Additionally, you will work with engineers, product managers, and data scientists to design and implement … privacy. In this role, you will Interact with product teams to understand how our safety systems interact with their data systems. Design and implement an automated end-to-end ETL process, including data anonymization, to prepare data for machine learning and ad hoc analysis. Manage and scale the tools and technologies we use to label data running on AWS. Devise … BSc or MSc in Computer Science/Software Engineering or related subject - candidates without a degree are welcome as long as they have extensive hands-on experience. Experience in ETL technical design, automated data quality testing, QA and documentation, data warehousing, and data modeling. Experience with Python for interaction with Web Services (e.g., Rest and Postman). Experience with using More ❯

define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the business … platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. Key job responsibilities 1.Converting data into digestible business intelligence and actionable information 2.Writing high … years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process More ❯

define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the business … platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. Key job responsibilities 1.Converting data into digestible business intelligence and actionable information 2.Writing high … years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process More ❯

been awardedActuarial Software of the Year. The role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties … and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. ML Ops Engineer More ❯

on cutting-edge data pipelines, cloud-native platforms and real-time data flows in a collaborative, forward-thinking environment. You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build … scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement robust ETL/ELT solutions for both structured and unstructured data. Automate workflows and orchestrate jobs using Airflow and GitHub Actions. Integrate data with third-party APIs to support real-time marketing insights. Collaborate closely with cross-functional teams including Data Science, Software Engineering and Product. Champion best More ❯