76 to 100 of 1,209 SQL Jobs in London

as Google Analytics 4, Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital marketing data. Strong proficiency and experience with Excel, G-sheets, SQL and data visualization tools such as Qlik, Tableau, and Google Data Studio. Strong problem-solving and analytical skills to methodically structure problems and quantify potential more »

tools and ETL frameworks. Knowledgeable in data modelling and data governance principles, with a keen eye for data quality. Versatile in database technologies, including SQL and NoSQL, and committed to ensuring data security and privacy. A problem-solver and a team player, with strong communication skills and a collaborative spirit more »

financial models in Excel and VBA, using standards similar to FAST. Proficiency in DAX programming language and advanced knowledge of Power BI. Experience with SQL and Python is a plus. Strong analytical skills with the ability to translate data into actionable insights. Excellent communication and presentation skills, with the ability more »

Python software development. Strong proficiency in Python programming language, with expertise in frameworks such as Django or Flask. Solid understanding of database management systems, SQL, and ORM libraries (e.g., SQLAlchemy). Experience with web development technologies (HTML, CSS, JavaScript) and front-end frameworks (e.g., React, Angular) is a plus. Familiarity more »

technologies/platforms Familiarity with Active Directory structures and Identity Management policies and processes Familiarity with PAM aspects for major RDBMS such as Microsoft SQL, Oracle, etc. Experience facilitating business process design as it relates to managing identities and access privileges Experience in the Industry acting as a BAU Support more »

an API on the side to get an idea of the analytics you’re dealing with, pull up your sleeves and follow a legacy SQL query to understand the thinking in a portfolio setup, be unafraid to check the logs while doing that, and use all of that to come more »

web development technologies (HTML, CSS, JavaScript) and experience with front-end frameworks (React, Angular) is a plus. Familiarity with version control systems (Git), databases (SQL, PostgreSQL), and cloud platforms (AWS, Azure) is advantageous. Strong problem-solving skills, attention to detail, and ability to work effectively in a team-oriented environment. more »

influence at senior levels both internally and externally. Knowledge and experience of data science methods, tools, and languages, including machine learning, R/Python, SQL, and Power BI. Strong interpersonal and communication, presentation and influencing skills and able to deliver activities by working with colleagues across Heathrow and its partners. more »

in analytics, data engineering, market research or related field Experience managing and hiring a team of business intelligence engineers or business analysts Proficient in SQL working with large-scale, complex datasets from multiple sources. Advanced skills in Excel as well as any data visualization tools like Amazon Quicksight, Tableau, or more »

expert in the data platform domain, demonstrating proficiency in: Data lakes, data marts, and data warehousing (Azure Databricks, ADF, Azure Synapse, HD Insight). SQL, NoSQL, and Graph databases. Processing both structured and unstructured data, data modelling, and achieving a single customer view. Data Modelling. Data schemas and familiarity with more »

the candidate is required to have a strong focus in automation and scalability. The successful applicant will have: Strong Python skills Good understanding of SQL, NoSQL Kubernetes experience Understanding across MongoDB/Oracle/PostgreSQL Good communication skills Experience working on large-scale data storage projects Further desirable skills: Unix more »

solutions, full lifecycle Three years of experience with front end JavaScript frameworks (e.g. Angular) Experience with MongoDb or other document based databases Experience with SQL/Relational Databases Additional qualifications that could help you succeed even further in this role include: Scrum Master qualification Experience working in agile teams Experience more »

looking for: Data analysis: proficiency in cleaning, reshaping and analysing complex datasets using R or Python. Knowledge of relational database systems and in writing SQL queries is an advantage. Statical analysis: good understanding of core statistical concepts and techniques such as probability theory, descriptive vs inferential statistics, and basic regression more »

focus on Python. Optimise ‘big data’ data pipelines, architectures and data sets. Strong experience in Power BI including advanced ability to design dashboards. Strong SQL skills. Build processes supporting data transformation, data structures, metadata, dependency and workload management. The ability to manipulate, combine, process, and extract value from disconnected datasets. more »

years’ experience within Software Development. Fully confident with all aspects of the SDLC and Microsoft Tech Stack. Essential Skills: C#, ASP.NET Core, Web APIs, SQL, Azure, Docker. Desirable Skills: JavaScript, HTML, CSS, React, Microservices. Ability to work on different projects at the same time and adapt to technologies. Experience within more »

other Java-related technologies. Solid understanding of microservices architecture and cloud-based services (AWS, Azure, or GCP). Strong database design and optimization skills (SQL, NoSQL). Experience with containerization and orchestration tools (Docker, Kubernetes). Excellent problem-solving and communication skills. Benefits: Competitive salary and performance-based bonuses. Comprehensive more »

London, where you will be expected to work up to 3 times per week. To be successful in this role you will have. Strong SQL skills for data extraction and cleansing Experience using Power BI to create data visualisations Strong DAX experience Experience with data modelling, SSAS and ETL would more »

mathematics, data science, business, or a related discipline. • 5-7 years professional experience developing advanced Tableau data visualizations, dashboards and reporting. • Programming skills in SQL and Python required to develop and maintain custom ETL processes. • Skills in exploratory data analysis and familiarity with advanced quantitative analysis. • Experience reporting on web more »

or of graduate calibre, will have a technology background, and hold a formal project management qualification. Technical proficiencies: .NET stack, C#, Python, React, Angular, SQL Experience in CI/CD pipelines, GitHub projects, GitHub Enterprise Server, Azure DevOps, container technologies (Docker, Kubernetes etc.,) and API gateway Proven track record of more »

IIS, webmethods and WAS Deployments of core applications and also middleware layer ITIL frame work (Good awareness or certification) Understanding of Oracle and MS-SQL DBs and experience of having created and run scripts for deployment, data extraction, data insertion. Strong Unix/linux OS knowledge. Proficient in deployment of more »

in ETL technical design, automated data quality testing, QA, documentation, data warehousing, data modelling, and data wrangling. Proficiency in RDMS, ETL pipelines, Python, Hadoop, SQL, and a solid grasp of modern code development practices. Ability to manage multiple data and analytic systems with an awareness of decentralised data architectures. Experience more »

warehousing processes You 3+ years experience as a Data Analyst, or in a similar role within a digital first business Expert programming skills in SQL, Python and/or other relevant languages Data visualisation skills and tools (Tableau, Looker, PowerBI etc) Experience working with relevant data set - marketing, product, business more »

and supporting applications. Knowledge of a variety of integration tools and techniques, including integration methods such as calling web-services/APIs. Proficiency in SQL, SSIS, JavaScript, HTML, XML, JSON, and FTP. Knowledge of application modelling techniques, self-service portals and apps, MS Dynamics or other CRMs, integrating to SAAS more »

and supporting applications. Knowledge of a variety of integration tools and techniques, including integration methods such as calling web-services/APIs. Proficiency in SQL, SSIS, JavaScript, HTML, XML, JSON, and FTP. Knowledge of application modelling techniques, self-service portals and apps, MS Dynamics or other CRMs, integrating to SAAS more »

with cloud-native Software as a Service (SaaS) and Platform as a Service (PaaS), preferably in Azure. Proficiency in database design and implementation, encompassing SQL and NoSQL. Capable of thriving under pressure and meeting tight deadlines in a fast-paced, agile environment. Excellent organisational and time management skills, adept at more »