251 to 275 of 1,003 SQL Jobs in the City of London

making. Enforce strong data governance, quality standards, and security protocols across the data estate. What type of candidate do they need? Deep experience in data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands More ❯

multithreaded applications - Task Parallel Library specifically Test driven development TDD Git Strong communication skills both with the team and externally SIP signalling/RTP Realtime Transport Protocol BDD (SpecFlow) SQL Docker Wireshark Distributed services Linux Team City (CICD) or similar Call Centre experience Asterisk Kamailio By submitting an application to Saab UK you consent to undertaking workforce screening activities that More ❯

you: Enjoy collaborating with people and explaining data in ways that inspire action. Have some experience leading or mentoring others (formally or informally). Feel comfortable with tools like SQL, Python, or BI platforms (Looker, Tableau, PowerBI) – but you don’t need to know them all. Bring curiosity, creativity, and a willingness to learn as much as technical expertise. Nice More ❯

you: Enjoy collaborating with people and explaining data in ways that inspire action. Have some experience leading or mentoring others (formally or informally). Feel comfortable with tools like SQL, Python, or BI platforms (Looker, Tableau, PowerBI) – but you don’t need to know them all. Bring curiosity, creativity, and a willingness to learn as much as technical expertise. Nice More ❯

In-depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation More ❯

In-depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation More ❯

You are experienced in event-driven architectures and messaging platforms such as Kafka. You have strong understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of SQL and NoSQL databases. You are experienced in CI/CD pipelines, automated testing, and modern deployment practices. You are a skilled mentor with the ability to influence technical direction across More ❯

You are experienced in event-driven architectures and messaging platforms such as Kafka. You have strong understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of SQL and NoSQL databases. You are experienced in CI/CD pipelines, automated testing, and modern deployment practices. You are a skilled mentor with the ability to influence technical direction across More ❯

the following areas: Linux System Administration (Ubuntu) Monitoring (Prometheus/Nagios/Icinga). Cloud Platforms - deploying and automation (AWS/GCP) Networking (LB/Routing/Switching) Databases - (SQL/NoSQL). Cassandra knowledge would be great to have Scripting/System-Programming - (Python/Bash/Go/Java) Configuration management - (Ansible/Terraform) CI/CD (Jenkins More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

SQL Server Trainer : 🎯 SQL Server Trainer (Advanced Level) Deliver cutting-edge training | Shape the next generation of database professionals We're looking for an expert SQL Server instructor to lead our 5-day advanced training program covering: ✅ Advanced T-SQL & query optimization ✅ Execution plan analysis & index tuning ✅ Security, encryption & compliance ✅ High availability & disaster recovery ✅ PowerShell automation & best practices What you … real-world labs & tuning challenges Share industry best practices from production environments Mentor DBAs, Data Engineers, BI Specialists & DevOps teams What we're looking for: 5+ years as a SQL Server DBA or Database Developer Deep expertise in performance tuning, HA/DR, and security Experience with SSMS, SQL Profiler, PowerShell Proven training/teaching ability (certification experience a plus … Strong communication skills and passion for knowledge sharing Ready to inspire the next wave of SQL Server experts? 📩 Apply now → [Link/Email More ❯

startup environment, is comfortable experimenting and iterating quickly, and is excited to work at the frontier of AI-driven products and agentic systems. Essential: Strong proficiency in Python and SQL for data engineering tasks NoSQL experience (e.g. MongoDB, Cassandra) Experience with message queues and publish-subscribe (e.g. NATS, RabbitMQ etc.) Proven experience designing, building, and maintaining data pipelines. Containerization experience More ❯

startup environment, is comfortable experimenting and iterating quickly, and is excited to work at the frontier of AI-driven products and agentic systems. Essential: Strong proficiency in Python and SQL for data engineering tasks NoSQL experience (e.g. MongoDB, Cassandra) Experience with message queues and publish-subscribe (e.g. NATS, RabbitMQ etc.) Proven experience designing, building, and maintaining data pipelines. Containerization experience More ❯

change, and foster a culture of data-driven decision-making across the firm. Strong problem-solving ability with experience balancing business insight and technical depth (data governance, Power BI, SQL, Azure). Confident engaging both technical and non-technical audiences, with a track record of structured governance, measurable outcomes, and resilience in a fast-paced environment. Head of Data More ❯

change, and foster a culture of data-driven decision-making across the firm. Strong problem-solving ability with experience balancing business insight and technical depth (data governance, Power BI, SQL, Azure). Confident engaging both technical and non-technical audiences, with a track record of structured governance, measurable outcomes, and resilience in a fast-paced environment. Head of Data More ❯

the lead on cloud infra design , deployment, and automation What You Bring 5+ years building data platforms in systematic trading, fintech, or high-throughput environments Mastery of Python and SQL – C++ is a plus Experience with cloud-native stacks (ideally AWS ) and interest in infrastructure as code A structured, pragmatic mindset with strong ownership and autonomy Ability to work closely More ❯

the lead on cloud infra design , deployment, and automation What You Bring 5+ years building data platforms in systematic trading, fintech, or high-throughput environments Mastery of Python and SQL – C++ is a plus Experience with cloud-native stacks (ideally AWS ) and interest in infrastructure as code A structured, pragmatic mindset with strong ownership and autonomy Ability to work closely More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

in deep learning architectures (e.g., attention models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large More ❯

in deep learning architectures (e.g., attention models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large More ❯

What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions — Azure preferred. Understanding of modern development best practices, including agile More ❯

What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions — Azure preferred. Understanding of modern development best practices, including agile More ❯

and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D More ❯

programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right to work in the UK More ❯