201 to 225 of 1,038 SQL Jobs in London

Senior Data Engineer Python, SQL, Big Data Frameworks London - 4x a week £80-90,000 + bonuses Seeking a skilled Data Engineer to join a company specialising in quantitative trading and investment management. This role is pivotal in building and maintaining the infrastructure that supports their cutting-edge trading strategies. more »

will have: Excellent communication skills, capable of explaining complex technical concepts to non-technical colleagues and providing updates on data activity progress. Proficient in SQL and data modeling. Experience with Python Extensive technical expertise in data warehousing, ETL processes, and BI reporting technologies. Experience in working with and administering modern more »

have a background either in Data Analyst or Data Engineering you will be confident with developing reporting and analytics. You will also demonstrate strong SQL skills with experience in complex joins, analytical functions, and common table expressions. Any experience in the Media & Entertainment industry or with the manufacturing/distribution more »

with a strategic mindset to align architectural solutions with business goals. Experience working with the Azure data technology stack, including Azure Data Factory, Azure SQL, Synapse Analytics, and PowerBI. A proactive, self-starting approach with excellent organizational skills, capable of identifying issues, presenting solutions, and leading to resolution. Professional certifications more »

Insights, New Relic, or Datadog. Knowledge of cloud platform design patterns and best practices. Knowledge of common database and caching technologies, such as Azure SQL, CosmosDB, MongoDB, PostgreSQL, MySQL/MariaDB, Memcache, or Redis. Some knowledge of common programming languages used in modern web application development, such as C#, JavaScript more »

PowerBI dashboards Address and solve data issues Requirements: Proven experience as a BI Developer or similar role Proficient in PowerBI, DAX, Power Query, and SQL Strong understanding of data modelling and database concepts Familiarity with data visualisation techniques Experience with Azure and Databricks is a plus Prior experience in financial more »

an Application Support specialist, to focus on supporting their newly implemented Data Platform. Ideally you will have: Relevant industry experience - Asset Management/Insurance SQL experience Data Platform support experience (e.g Finbourne, Markit EDM, GoldenSource, Alveo, Murex, Aladdin etc.) Power BI reporting and visualisation experience (incl DAX) Knowledge of Azure more »

Python Ideally in data science libraries like NumPy, Pandas etc. Application building experience (multi-processing, API dev etc.) – not just data analysis Competency in SQL Some (but any) cloud experience Strong communication skills, teamwork and attitude. Motivated by creating great results. Organised and diligent. Nice to Haves – but can be more »

developing and maintaining ETL/ELT processes within a medallion architecture. Proficient in Data Modelling on a cloud-based data platform. Extensive experience with SQL Server and relational databases. Solid understanding of the Azure data engineering stack, including Azure Synapse and Azure Data Lake. Programming skills in Python, PySpark, and more »

Could you be the one implementing AI in the Fintech space? You will be involved with: Producing quality code in C# .Net, TypeScript Angular, SQL, Azure Working in an Agile environment Passionate about tech and problem-solving Creating restful API and web services integration Knowledge of Azure or desire to more »

stakeholders - Develop data collection systems and processes - Ensure data accuracy and compliance Qualifications - 2+ years data analysis experience, preferably in an agency - Proficient in SQL, Python or R for data work - Experience with visualization tools like Tableau, Power BI - Skilled in analytics platforms like GA4, Adobe Analytics - Strong communication abilities more »

Technical Skills : Proficiency in programming languages such as Python, Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and more »

requirements into technical solutions that provide actionable insights. Your Skills and Experience: Proven expertise in Snowflake data architecture, design, and deployment. Strong proficiency in SQL and experience with scripting languages such as Python or Java. Experience with data modelling, ETL processes, and data warehousing techniques. Familiarity with cloud computing services more »

Technical expertise with data modelling, database design development, data mining and segmentation techniques Strong knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse more »

and team management skills and ability to work with global teams A solid understanding of statistical and machine-learning algorithms is a plus Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI Exposure to cloud platforms and big data systems more »

experience You have a good knowledge of AWS You have experience with Kotlin (or are keen to learn) You have a good knowledge of SQL, PostgreSQL ideally You're collaborative and keen to work in start-up environment creating tech for good You're a keen technologist keen to stay more »

management Master’s degree in business or other applicable discipline Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »

model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Strong analytical and problem more »

and SQL. You should also have some, if not all, of the following; Capability in scripting, data extraction via APIs, and the composition of SQL queries. Practical experience in integrating data engineering components into production systems, along with expertise in data cleaning, data wrangling, data visualisation, and reporting. Proficiency in more »

and SQL. You should also have some, if not all, of the following; Capability in scripting, data extraction via APIs, and the composition of SQL queries. Practical experience in integrating data engineering components into production systems, along with expertise in data cleaning, data wrangling, data visualisation, and reporting. Proficiency in more »

as a Software Engineer will be to create and maintain applications within our micro service architecture using a mix of Python, Docker, Kubernetes, Oracle SQL, MongoDB and RabbitMQ. Experience in these specific technologies is highly desirable and it is essential to have experience in Linux environments, Databases and a confidence more »

and experience working in cross-functional teams. Excellent written and oral communication skills, capable of communicating complex technical ideas clearly and concisely. Experience with SQL, data analytics, and reporting is highly desirable. more »

leader in software architecture and development. Technical Skills: .Net C# web apps with JS frameworks (React/Angular/Node). HTML & CSS, advanced SQL, and database design. Cloud deployment (AWS preferably), basic Python, Rust, Docker, Kubernetes, WASM. Event-driven programming, Pub/Sub message queues, Android development. Additional Experience more »

members Proven experience in mobile analytics, with a focus on user acquisition or digital marketing analytics Proficiency in data analysis tools and languages (e.g., SQL, Python, R) and experience with analytics platforms (e.g., PowerBI, Domo, Tableau etc.). Strong understanding of digital marketing concepts Excellent communication and presentation skills, with more »

able to work effectively in a multidisciplinary team. Desirable: Familiarity with generative AI models and their applications in the urban planning realm Experience with SQL databases and familiarity with cloud services like AWS or Azure for deploying AI solutions. more »