276 to 300 of 629 ETL Jobs in London

software engineering best practices: unit testing, code reviews, design documentation, excellent debugging, troubleshooting skills. Experience in building/deploying tools related to data pipelines, ETL processes. Confident with cloud‐native technologies like Kubernetes, Docker. Experience deploying open‐source technologies such as Python, Node.JS, Ruby, Postgres and related CI/ ...

software engineering best practices: unit testing, code reviews, design documentation, excellent debugging, troubleshooting skills. Experience in building/deploying tools related to data pipelines, ETL processes. Confident with cloud-native technologies like Kubernetes, Docker Experience deploying open-source technologies such as Python, Node.JS, Ruby, Postgres and related CI/ ...

more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the application of automation and data technologies (e.g. RPA, ETL tools, visual analytics) Formal project management training certification (e.g. PMP, PRINCE2, MSP) or process improvement certification (e.g. Six Sigma ‘belt’) is preferred What we offer ...

learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL)Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CDStrong focus ...

engineering role focused on building complex production-grade systems that work with data in dynamic, regulated environments as opposed to assembling off-the-shelf ETL tools or writing SQL heavy pipelines,.This position offers significant autonomy and scope for impact. You’ll collaborate closely with research, clinical lab operations, and ...

design, build and optimise production-grade data pipelines feeding the Ki algorithm and its analytics platforms. The role emphasises hands-on data modelling, ETL/ELT, and modern cloud-based data solutions across GCP/AWS, with strong Python API #J-18808-Ljbffr ...

experts from other domains, with outputs used to train frontier AI models. Ideal candidates are hands-on Data Engineers with strong SQL and Python, ETL/ELT, orchestration, streaming, and warehousing experience across Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure. #J-18808-Ljbffr ...

Skills and Experience: Proven experience as a Enterprise Data Architect working at a global level. Expertise in data modelling, Medallion Architecture, Data warehousing, and ETL/ELT processes. Knowledge of MDM and Vendor selection. Proficiency with MS Fabric and Microsoft Azure Strong Business architecture experience with awareness of AI tools. ...

optimize innovative data solutions and pipelines for a major public safety initiative! What you'll do: Design, develop, and maintain robust data pipelines and ETL processes. Act as a Subject Matter Expert (SME), guiding and mentoring junior team members. Drive key technical decisions and collaborate across multiple cross-functional teams. ...

Behavioural data from in-store customer movement Datasets and features that feed forecasting and AI models What you’ll do Design and maintain reliable ETL/ELT pipelines from many sources into clean, usable data. Build dashboards and reports that give teams a real-time, 360-degree view of operations. ...

and develop these into scalable solutions for the business. Key RequirementsStrong hands on experience in ML model development with extensive experience of Python, SQL, ETL pipelines, PySparkProficient understanding of cloud data solutions and principles with experience of Synapse, Azure Data Lake, Azure Data FactoryProven experience of running a Data Science ...

Data Engineering and cloud platforms. Key skills and responsibilities: Strong proficiency in Python Extensive experience with cloud platformsExperience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworksSoftware development best practicesContainerisation toolsExperience with Infrastructure as Code toolsStrong understanding of data modelling and ...

Evaluate and recommend architectural improvements, new tools, and emerging technologies. \* Develop reference architectures, solution blueprints, and best-practice playbooks for Databricks implementations. \* Architect scalable ETL/ELT pipelines using PySpark, Spark SQL, Delta Live Tables, and Databricks Workflows. \* Implement performance optimization strategies for notebooks, clusters, job orchestration, and data storage. ...

with Snowflake (data modelling, performance tuning, pipeline integration) Hands-on experience with Azure cloud services Strong experience with SQL Strong experience building and maintaining ETL/ELT pipelines Experience within finance — trading, investment banking, asset management or similar Strong communication skills, comfortable working closely with traders, quants and other stakeholders ...

native data platforms, ideally on Azure Commercial experience with Databricks, PySpark and Python Strong SQL and data engineering expertise Experience designing and delivering scalable ETL and data pipeline solutions If you're looking for a Senior Data Engineer role where you can work on complex technical challenges, take ownership ...

and building SQL Server databases from scratch, including schema design, tables, views, stored procedures, and indexing. Developing end-to-end data ingestion workflows and ETL processes for new data sources and third-party platforms. Reviewing, optimising, and modernising existing SQL Server and SSIS environments. Building automation solutions using Python, APIs ...

business‐hours rhythm. Ensure no significant commitments to other projects during this period. Qualifications Must‐Have Data Engineering : Experience with SQL , Python , ETL , ELT , and tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , or Databricks on AWS , GCP , or Azure . Sales : Experience as Account Executives, Account Managers, Customer Success ...

Azure DevOps Strong understanding of version control (Git) and release management practices Experience supporting data platforms or data engineering teams Understanding of ELT/ETL pipelines and data workflows Strong communication and stakeholder management, and a proactive mindset. Nice to have Experience with dbt and modern data stack tooling Familiarity ...

have strong experience across several of the following areas: Python software development AWS and cloud-based data technologies Designing and building scalable data pipelines ETL and ELT processes Data architecture and data modelling Distributed data processing Cloud‐native engineering CI/CD pipelines and automated deployment Infrastructure as Code Technical ...

Azure DevOpso Strong understanding of version control (Git) and release management practiceso Experience supporting data platforms or data engineering teamso Understanding of ELT/ETL pipelines and data workflowso Strong communication and stakeholder management, and a proactive mindset. Nice to have Experience with dbt and modern data stack tooling Familiarity ...

/ML technologies Deep architectural knowledge across Salesforce integrations, security, data, event-driven architecture, and enterprise application landscapes Strong experience with REST, SOAP, ETL, ESB, event-based integrations, SSO, OAuth, encryption, and technologies such as Kafka Proven ability to lead technical workstreams, development teams, architectural governance, and solution quality across ...

Supporting the business in delivery of its objectives and improvement in financial performance. Market and peer group analysis. Understanding of development, data modelling and ETL knowledge that includes Data warehouse Data Modelling, Star and Snowflake schema. Strong understanding of relevant technologies (Cube Design, SQL/MDX). Hands on experience ...

Agentforce, Data Cloud or related AI capabilities. Development: Apex, Lightning Web Components (LWC), APIs and Salesforce development. Integration: REST/SOAP APIs, data integration, ETL and data mapping. Data & Platforms: Experience working with tools such as MuleSoft, Informatica or similar technologies would be beneficial. Engineering Practices: Git, CI/ ...

related field, or equivalent practical experience Demonstrate strong Python programming skills Design, develop, and integrate RESTful APIs, such as with FastAPI Build and support ETL and data pipeline engineering workflows Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines Design and integrate databases and ...

conceptual, analytical) Strong Microsoft Excel skills Data Integration and data modeling experience, or a willingness to learn Experience or knowledge of database management (i.e. ETL, Oracle, SQL Server, etc. The base salary range for this role is 44,000 - 56,000 GBP. *Our salaries are tailored to roles, levels and ...