526 to 550 of 738 ETL Jobs in London

complex data solutions and working closely with cross-functional teams on mission-critical projects. In this role, you’ll: Build and optimise complex SQL queries and stored procedures Lead ETL development using SSIS and reporting using SSRS Develop data-driven applications with C# Collaborate with stakeholders and mentor junior developers Monitor and improve database performance Apply your understanding of capital More ❯

them into clear and concise business requirements to be built by the engineering team Create technical specifications, feed specifications, API specification and data models Experience in data migration, transformation, ETL processes and API’s Create as-is and to-be state dataflows using UML’s or data flow diagrams Create source to target mapping including transformation logic/business rules More ❯

them into clear and concise business requirements to be built by the engineering team Create technical specifications, feed specifications, API specification and data models Experience in data migration, transformation, ETL processes and API’s Create as-is and to-be state dataflows using UML’s or data flow diagrams Create source to target mapping including transformation logic/business rules More ❯

Inside IR35 🚂 Hybrid working: 3 days a week from Central London 🧑‍💻 Python, Snowflake, Dagster, Kafka, Terraform, and AWS Key Responsibilities: Design, build, and maintain enterprise-grade data platforms and ETL pipelines using Dagster and Python . Lead the adoption and integration of Snowflake as the firm transitions from legacy technologies. Collaborate with internal dev teams to test and deploy new More ❯

Inside IR35 🚂 Hybrid working: 3 days a week from Central London 🧑‍💻 Python, Snowflake, Dagster, Kafka, Terraform, and AWS Key Responsibilities: Design, build, and maintain enterprise-grade data platforms and ETL pipelines using Dagster and Python . Lead the adoption and integration of Snowflake as the firm transitions from legacy technologies. Collaborate with internal dev teams to test and deploy new More ❯

them into clear and concise business requirements to be built by the engineering team Create technical specifications, feed specifications, API specification and data models Experience in data migration, transformation, ETL processes and API’s Create as-is and to-be state dataflows using UML’s or data flow diagrams Create source to target mapping including transformation logic/business rules More ❯

or within product development teams is a plus Technical knowledge and underrating of the following is required:- Data Engineering Best Practices, CI/CD for data pipelines, Modular, testable ETL development, Git-based collaboration and branching strategies, Metadata management and data documentation, Reusability and multi-tenancy in data models and Orchestrating data through medallion architecture or equivalent You will ideally More ❯

assurance solutions across classified environments. Data & AI Professionals: Experience in data engineering, analytics, or machine learning Familiarity with secure cloud or hybrid environments (AWS, Azure) Skills in Python, Spark, ETL, NLP, or other data/AI tooling Ability to build and deploy AI models in defence-focused contexts Data Business Analysts: Proven experience gathering and managing requirements in secure environments More ❯

the business. We are looking for: Experience as a Product Owner, Product Manager or Agile BA. Proven experience overseeing data products or platforms, particularly customer data platforms. Understanding of ETL/ELT workflows, APIs, data modelling, and pipeline development. Using analytics and BI tools to drive product decisions. Tableau, Power BI and Looker are preferred but not essential. If this More ❯

the business. We are looking for: Experience as a Product Owner, Product Manager or Agile BA. Proven experience overseeing data products or platforms, particularly customer data platforms. Understanding of ETL/ELT workflows, APIs, data modelling, and pipeline development. Using analytics and BI tools to drive product decisions. Tableau, Power BI and Looker are preferred but not essential. If this More ❯

and alerting in place. You will - Build and develop reusable pipelines Work with the team to improve operating efficiencies Deploy production AI models Work with the team to support ETL processes What you'll need to succeed Seasoned knowledge of the Azure Databricks platform and associated functionalities Strong Python programming knowledge, ideally Pyspark A logical and analytical approach to problem More ❯

alerting mechanisms for pipelines using Databricks built-in features and Azure Monitor to detect and resolve issues proactively. Requirements Data Pipeline Expertise: Extensive experience in designing and implementing scalable ETL/ELT data pipelines in Azure Databricks, transforming raw data into usable datasets for analysis. Azure Databricks Proficiency: Strong knowledge of Spark (SQL, PySpark) for data transformation and processing within More ❯

the business. We are looking for: Experience as a Product Owner, Product Manager or Agile BA. Proven experience overseeing data products or platforms, particularly customer data platforms. Understanding of ETL/ELT workflows, APIs, data modelling, and pipeline development. Using analytics and BI tools to drive product decisions. Tableau, Power BI and Looker are preferred but not essential. If this More ❯

and metrics using SQL and QuickSight BASIC QUALIFICATIONS - Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field - Experience in creating SQL queries joining multiple datasets, ETL DW - Experience in demonstrating problem solving and root cause analysis PREFERRED QUALIFICATIONS - Knowledge of Data Visualization tools such as Quick Sight/Tableau/Power BI or other BI packages More ❯

difference, this is the perfect role for you and we'd love to hear from you! What experience you'll need to apply: Strong technical expertise in Python, SQL, ETL, and Google's data stack (BigQuery, Dataform, Looker Studio, Composer). Experience leading and mentoring data teams, with a passion for developing people. A deep understanding of data science, data More ❯

ownership. Work with data infrastructure to triage infra issues and drive to resolution. Skills/Experience: 5+ years experience in the data warehouse space. 5+ years experience in custom ETL design, implementation and maintenance. 5+ years experience with programming languages (Python or Java), Python preferred. 5+ years experience in writing efficient SQL statements. Experience working with either a Map Reduce More ❯

Strong documentation and communication skills for both technical and non-technical audiences Advanced stakeholder management, risk management, and issue resolution Comfortable working in agile or hybrid delivery environments SQL, ETL tools, and/or scripting languages for hands-on data tasks (desirable) Background Experience in Private Banking, Wealth Management, or Investment Management firms (preferred) Prior experience on Avaloq or similar More ❯

Strong documentation and communication skills for both technical and non-technical audiences Advanced stakeholder management, risk management, and issue resolution Comfortable working in agile or hybrid delivery environments SQL, ETL tools, and/or scripting languages for hands-on data tasks (desirable) Background Experience in Private Banking, Wealth Management, or Investment Management firms (preferred) Prior experience on Avaloq or similar More ❯

Intelligence. Experience working with Oracle ERP/HCM Cloud or eBusiness Suite, with a strong understanding of functional areas such as HR, Commercial, Finance and Logistics. Practical experience with ETL, data modelling, and dashboard/reporting development. Experience in leading product teams or data-focused project teams, with stakeholder engagement at all levels. Working knowledge of integration technologies and data More ❯

integrity, security, and accessibility. Key Responsibilities: Develop, test, and maintain complex SQL queries and stored procedures to support data processing and reporting needs. Lead the design and implementation of ETL processes using SQL Server Integration Services (SSIS) to ensure seamless data flow. Create and manage reports using SQL Server Reporting Services (SSRS) to deliver actionable insights to stakeholders. Collaborate with More ❯

Experience crafting compelling Value-based proposals with compelling ROI Bonus Points For: Hands-on knowledge of Java, Python, JavaScript/NodeJS, SQL, or similar languages Experience working with databases, ETL tools, or data visualization/reporting platforms Previous experience with regulatory compliance, financial services, or enterprise architecture solutions Who You Are Naturally curious and technically sharp - you love solving problems More ❯

Supply Chain Command Center (SC3) and Warehouse Automation and Optimization (WAO) • Work hands-on with new Services, including AI/Machine Learning, Serverless/Lambda IoT, Analytics (Map Reduce, ETL), Data Warehouse, BI and Security Services to build products and solutions with our customers • Structure and Guide our Customer's through transformation journey, collaborating widely with business stakeholders to understand … AI/ML or Data Science solutions - Hands on experience leading large-scale global data warehousing and analytics projects. - Experience designing and coding in Python or Scala or building ETL or data ingestion pipelines Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons More ❯

Business Analytics, Information Systems or related field. Professional work experience in a role requiring application of analytic skills to integrate data into operational planning. Working knowledge of SQL/ETL and visualization tools like tableau. An ability and interest to work in a fast-paced and rapidly-changing environment. Recent experience in project management, handling multiple priorities, and working with More ❯

Salesforce Certifications - A very big plus A detailed understanding of Web Services, Data Modeling, and Enterprise application integration concepts, including experience with enterprise integration tools (ESBs and/or ETL tools), and common integration design patterns with enterprise systems (e.g. CMS, ERP, HRIS, DWH/DM) Agile Methodology certification such as Scaled Agile Framework. Who we are: We're a More ❯

Science, Engineering, or equivalent work experience 3-5 years of product management with a focus on data engineering, analytics engineering, or developer tools Hands-on understanding of data architectures, ETL/ELT patterns, and data lakehouse concepts Excellent interpersonal and communication skills to grasp and articulate technical, financial, and conceptual ideas Strong project management, analytical, and prioritization skills Experience in More ❯