1 to 25 of 45 SQL Jobs in West London

domain experience in logistics and supply chain, with an understanding of complex warehousing setups Essential expertise in Oracle Database performance troubleshooting, Advanced PL/SQL, standard SQL, and Shell Scripting Strong hands-on knowledge of Linux Operating Systems and Cloud Console Management (AWS or Azure) Demonstrated experience leading large … experience in the following: Blue Yonder, JDA, WMS, Dispatcher, Warehouse Management System, Technical Lead, Technical Architect, Solutions Architect, Application Support Lead, Oracle, PL/SQL, SQL, Shell Scripting, Linux, AWS, Azure, ITIL, Incident Management, Root Cause Analysis, Supply Chain Technology, Logistics, Agile, Release Management, iReports TPBN1_UKTJ ...

Python applications and services. Strong experience in data engineering, including the design and development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience ...

data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with … data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/AI. Benefits What We Offer ...

Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional ...

Data Engineering . Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills and experience working in a client-facing environment. A proactive approach with strong problem ...

concepts alongside journey architecture to build a complete picture of an organisation. Data Literacy: Confident working with data products and APIs; an understanding of SQL or analytics tooling for sizing, validation, and system mapping. Agile Expertise: Experience working in Agile teams, supporting ceremonies, and writing technical user stories. Stakeholder Management ...

engaging presentations. Enable the organisation to discover insights from data by exposing it in a meaningful and actionable way. Qualifications You have experience with SQL and building data pipelines (dbt experience is preferable). You are confident working with complex data models and are able to independently design and implement ...

services to build and deploy cloud-based solutions, ensuring high availability and scalability. Database Management:Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance. Batch Processing:Develop and manage batch processing systems to handle large volumes of data efficiently. Code Quality:Ensure code quality through ...

variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products ...

Cloud: Experience working with cloud infrastructure (Azure, AWS, or GCP). Agile Delivery: Experience working in an Agile development environment. Data Engineering: Proficiency in SQL and relational databases (e.g., PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g. ...

variety of projects while exploring how Agentic AI is transforming data engineering. What we're looking for: 24 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such ...

from beginner to job-ready professional with a job guarantee or 100% of course fees refunded. The Training: 8 modules: Excel, SQL, Python, Tableau, Power BI, Azure AI Fundamentals, AI Business Professional, and Microsoft 365 Copilot & Agent Administration 4 Microsoft certifications ...

Data Engineering, with a focus on building and maintaining data platforms and pipelines rather than data analysis alone. Strong hands-on skills in Python, SQL and ETL/data pipeline technologies. Experience working with large-scale or complex datasets. Understanding of data modelling, pipeline orchestration and end-to-end data ...

insights Qualifications 5+ years of experience in data analytics 2+ years of experience in advanced analytics and statistical techniques You have extensive experience with SQL, dbt (ideally) and Python/R. The biggest challenges you will face is how to scale and productionise efficiently your code, models and ETLs. When ...

Node.js development Strong knowledge of JavaScript (ES6+), asynchronous programming, and event-driven architecture. Experience with building and maintaining RESTful APIs. Solid understanding of SQL and NoSQL databases (e.g., MongoDB, PostgreSQL, MySQL). Familiarity with authentication and authorisation mechanisms (OAuth, JWT, etc.). Experience with version control systems like ...

. Hands-on experience with Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial services regulations and compliance ...

strong data governance, metadata management and security controls What theyre looking for Strong experience in Data Engineering (not just analysis) Hands-on with: Python, SQL, ETL/data pipeline tooling Experience working with large, complex datasets Understanding of data modelling, orchestration and data lifecycle management Exposure to cloud platforms ...

influencing engineering direction across the wider organisation * Participating in a rota supporting business-critical data products Your Skills & Experience * Strong commercial experience in SQL development * Expertise in cloud-based data engineering and modern data architectures * Experience with technologies such as Snowflake, AWS, dbt, or comparable cloud data platforms * Strong understanding ...

internationally at scale. About You: Strong analytical mind and product led environments in the FinTech or Financial Industry Technical skill-set in Python, advanced SQL, BI tools Experience working with technical teams (PMs, engineers, analysts) Relevant experience in a data driven and complex environment with limited guidance Understanding of events ...

AWScloud platform. In-depth knowledge of software architecture principles and design patterns. Experience with microservices architecture and cloud-native applications. Goodexperienceindatabase technologies such as SQL, NoSQL, and data modeling. Excellent problem-solving skills and attention to detail. Strong communication and leadership skills. Good experiencewith DevOps practices and tools such ...

operational processes using scripting languages such as Python, Bash or PowerShell. Manage GCP services, including Google Kubernetes Engine (GKE), Compute Engine, Cloud Storage, Cloud SQL, IAM and VPC networking. Implement containerisation and orchestration solutions using Docker and Kubernetes. Establish monitoring, logging, alerting and observability using Google Cloud Operations Suite ...

shape delivery roadmaps What we're looking for 24 years' experience in data engineering and/or analytics Client-facing or consulting experience Strong SQL and Python skills Experience with AWS, GCP or Azure Understanding of data quality, governance, observability and dimensional modelling ...

e.g. Linux, CoreOS and Windows) Application stacks (e.g. nginx, Apache, Tomcat, JBoss, Websphere, Hybris, IIS, .Net, Node.js, Solr) RDBMS (e.g. PostgreSQL, MySQL, Oracle, MS SQL) NoSQL (e.g. MongoDB, Cassandra, Riak) Containerisation and microservices (e.g. Docker, rkt) IaaS and PaaS (e.g. AWS, Openstack, Deis, Kubernetes, Mesos, Rancher) Experience of programming ...