276 to 300 of 1,564 SQL Jobs in London

ideally in Treasury or from a hedge fund/buy-side firm Expertise in Python for designing and optimising complex applications Strong proficiency in data tools like Pandas, NumPy, SQL, and real-time data processing Familiarity with DevOps practices, including Linux, cloud platforms, and CI/CD (Docker/Kubernetes is desirable but not essential). Strong communication skills, managing More ❯

Tableau, Qlik) to design and deliver enterprise-grade reporting and interactive dashboards Experience with Python for advanced analytics, forecasting, data wrangling, and automation of insight generation Intermediate to advanced SQL knowledge for structured data access and performance optimisation Exposure to machine learning techniques such as clustering, regression, or time-series modelling Ability to translate 'As-Is' data/reporting architectures More ❯

company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

and governance Ensure data quality, security, and reliability across models, pipelines, and data shares Requirements: Solid experience in an Analytics Engineer or similar role within BI or Data Advanced SQL skills and experience working with modern data stacks (Snowflake and dbt are a must) Hands on experience with Looker or similar BI tools (Tableau, Power BI) Strong commercial acumen - you More ❯

and verbal communication skills. Technical Skills: Proficient working with source code repositories (Azure and/or GIT). Excellent understanding of object orientated programming and scripting. Experience writing complex SQL queries (Sybase advantageous). Proficient with UNIX/LINUX operating systems/commands. Understanding of API Services (SOAP, REST, Graph). Programming Language: Proficient in Java EE o with OpenJDK More ❯

a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and More ❯

a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and More ❯

a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and 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 ❯

e.g. TensorFlow and scikit-learn Significant experience in the energy industry, with a specific focus on forecasting the short-term power markets GitHub or Azure DevOps knowledge is desired SQL knowledge is desired Experience in DataBricks is desired, but not necessary You will need to be comfortable working as part of a team, have an enthusiasm for providing an excellent More ❯

background in manual testing. Inquisitive mindset with a passion for staying informed about test automation best practices and trends. Experience with version control systems (Git). Preferred Skills: Basic SQL knowledge. Experience with BDD frameworks (preferably SpecFlow, Cucumber, etc.), with a strong preference for C# with Selenium, given the integration ease with our project. Familiarity with design patterns and best More ❯

Computer Science, Statistics, or a related field. Technical Skills: Hands-on proficiency with AWS cloud platform solutions and the challenges and opportunities around ML model management. Strong knowledge of SQL and database management, as well as programming languages such as Python, R, or similar. Strong experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) as well as familiarity with data More ❯

Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen interest in staying current with the More ❯

are looking for: Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications More ❯

are looking for: Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications More ❯

and contribute to service development What We're Looking For: 7+ years in analytics with proven delivery leadership Strong skills in cloud data platforms (Snowflake, Azure, AWS, or GCP), SQL, and data modelling Experience with BI tools like Power BI, Tableau, or Looker Familiarity or interest in AI and data science techniques (LLMs, predictive models, automation) Consulting skills: stakeholder engagement More ❯

are looking for: Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications More ❯

It is hybrid and will require 3x days onsite per week. Essential: Strong background in C# programming and .Net technologies Strong Windows background Strong experience with relational databases and SQL Proven experience in continuous improvement of areas of focus and drive changes Ability to analyse information, understand business needs & requirements and deliver the best possible systems solution Strong verbal and More ❯

are looking for: Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications More ❯

Quality Software Engineer Location: London, United Kingdom Permanent Role, requires hybrid working in London What You’ll Do: Develop and maintain Python-based test frameworks (multithreaded apps, Flask APIs, SQL integration). Build automation into our CI/CD pipelines (GitHub, Jenkins, Docker) to validate new features continuously. Execute large-scale test and benchmarking campaigns, collecting metrics to evaluate performance More ❯

Quality Software Engineer Location: London, United Kingdom Permanent Role, requires hybrid working in London What You’ll Do: Develop and maintain Python-based test frameworks (multithreaded apps, Flask APIs, SQL integration). Build automation into our CI/CD pipelines (GitHub, Jenkins, Docker) to validate new features continuously. Execute large-scale test and benchmarking campaigns, collecting metrics to evaluate performance More ❯

product features. Provide clear insights that influence product, marketing, and leadership decisions. Ideal Candidate 8+ years' experience in data analytics, ideally in consumer apps or online platforms. Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI). Experience working with subscription, engagement, or conversion funnel data. Strong communicator, able to present complex findings in simple, actionable ways. Find More ❯