551 to 575 of 760 ETL Jobs in London

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 ❯

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 ❯

backend systems, APIs, and data services. Deep proficiency with SQL and experience working with production data stores (PostgreSQL, Redshift, Snowflake, DynamoDB, etc.). Hands-on experience with data pipelines, ETL/ELT processes, and/or event-driven architectures. Comfort working with and transforming time-series or other noisy sensor data. Familiarity with AWS or similar cloud infrastructure and able More ❯

backend systems, APIs, and data services. Deep proficiency with SQL and experience working with production data stores (PostgreSQL, Redshift, Snowflake, DynamoDB, etc.). Hands-on experience with data pipelines, ETL/ELT processes, and/or event-driven architectures. Comfort working with and transforming time-series or other noisy sensor data. Familiarity with AWS or similar cloud infrastructure and able 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 ❯

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 ❯

around Pivot, vlookup, basic formulas PREFERRED QUALIFICATIONS - Experience in e-commerce or online advertising - Experience with reporting and Data Visualization tools such as Tableau/Power BI - Experience in ETL, SQL. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and More ❯

and forecasting to guide business decisions and solve problems. - Experience in Excel around Pivot, vlookup, basic formulas PREFERRED QUALIFICATIONS - Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts - Knowledge of visualization tools such as Tableau, Datazen, SSRS - Experience back office operations, escalation management and troubleshooting environments - 2+ years of digital advertising and client facing roles experience. More ❯

you must have Financial Services industry, focused on financial crime, forensics, fraud, legal and regulatory compliance End to end data engineering and data science life cycle including data discovery, ETL, data analysis/machine learning, data visualisation/reporting and latest Gen AI and Agentic AI technologies Leading large and complex data and AI-driven programmes and innovating reusable tech More ❯

large and complex Data/AI programs for enterprise customers. - Deep understanding of building and/or running enterprise grade Data/AI platforms. This includes working knowledge of ETL, data governance, streaming architectures, Open Table Formats, etc. - Proficiency in at least one programming language (e.g., Python, Java, Scala, etc.) plus SQL. CI/CD experience and working knowledge of More ❯