401 to 425 of 869 SQL Jobs in Central London

Required: • Extensive hands-on experience with Google Cloud Platform (GCP) security services • Threat modelling experience in cloud-native environments • Strong knowledge of Google BigQuery, SQL, and data access governance • CISSP certification (or equivalent experience in cloud security) • Proven track record of working within DevSecOps frameworks and secure SDLC • Comfortable working More ❯

you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems — you care about code quality and reliability ⭐ Bonus Experience (Not Required, but More ❯

months Location: UK Onsite - Hybrid at Brock Street (3 days per week in office) Employment Type: Via PAYE Skills: Turkish Proficiency Marketing Analytics SQL Marketing Mix Model (MMM) Client Facing experience (Turkey) The Marketing Science Partner is a highly quantitative measurement professional, with marketing analytics experience to drive the Facebook More ❯

as Salesforce, Jira, Tableau, or similar Strong scripting ability - ideally across PowerShell, Python, and Bash Working knowledge of relational databases and querying languages (e.g. SQL, SOQL) Hands-on experience integrating systems via REST APIs and building internal tooling to support cross-platform workflows Familiarity with cloud-based application management and More ❯

it's customer segmentation, proidling and personalisation projects Help shape the data roadmap from early foundations to advanced maturity. What you'll bring: Strong SQL and data pipeline understanding (you will work with data engineering teams rather than being hands on coding pipelines). Proven experience building dashboards and defining More ❯

to manage high-throughput systems. In-depth understanding of global data privacy and compliance frameworks (e.g., GDPR, CCPA, SOC). Preferred Experience Proficiency in SQL, data modeling, ETL processes, and modern data warehousing. Experience with functional programming and real-time stream processing (e.g., Flink, Spark Streaming, or similar). Demonstrated More ❯

be highly advantageous: Insurance or financial services sector, especially MGAs or brokers. Exposure to Azure & Salesforce Basic scripting or light development capabilities (e.g., PowerShell, SQL, APIs). Understanding of PMS or CRM systems and system integration concepts. Along with our client, we are committed to a diverse workforce and as More ❯

for data, data cleansing and transformation/data wrangling and analysis, both visually and with Python (Pandas, Numpy) Confident use of REST APIs, JSON, SQL (ideally Snowflake) Strong coding standards and practices - clean code, testing, code reviews, version control (git) Experience with Machine Learning libraries would be useful Ideally some More ❯

services required by clients and troubleshoots customer issues during implementation Requirements Have project management skills and experience Have significant exposure to technical implementation Database: -SQL/Oracle, Web deployment: -Apache Tomcat, Middleware: IBM MQ, DAPR, Kafka, Cloud: - AWS, Mircosoft Azure Operating Systems: -Windows, Linux Have excellent troubleshooting skills Have a More ❯

a hybrid environment, encompassing public cloud and on-premise systems. You’ll work with a broad stack including AWS, Azure, GCP, Windows Server, Linux, SQL, AVS, VDI, Citrix, Puppet, PowerShell, Jira, and LogicMonitor. With strong investment in Infrastructure as Code (IaC), automation, and modern tooling, the goal is to build More ❯

cloud and external e.g. GCP or Azure) Technologies we would be expecting experience in (not necessarily all but an awareness) – Windows Server, Linux, UNIX, SQL, oracle, Websphere, SAN infrastructure, VmWare, Citrix, IBM P Series, Oracle Hardware, HP and Lenovo plus a good experience of networking technology such as F5 Candidates More ❯

stakeholder engagement, communication and presentation skills. Proficiency with Agile delivery methodologies (Scrum). Experience with tools such as JIRA and Confluence. Solid understanding of SQL, data analysis and ideally financial modelling. Exposure to financial systems (ERP, TMS, CRM) and/or payment solutions. Ability to articulate technical issues to non More ❯

Bonus Points For Hands-on with ESPs like Acoustic, SFMC, Adobe Campaign or Braze. Experience in dashboard reporting (Tableau, Power BI). Familiarity with SQL, Snowflake and Azure Data management tool experience - Faststats Why Join DCX? We’re not your typical agency. We don’t believe in one-size-fits More ❯

a ninja software engineer, but you’ll be expected to be writing documents, drawing diagrams, mapping fields, as well as building software prototypes, writing SQL statements, calling APIs, or whatever else might be needed to figure out how to solve problems pragmatically. As important as the business domain knowledge and More ❯

projects. A deep understanding of business process flows, especially in retail and consumer sectors, and how data supports operational outcomes. Strong coding ability with SQL and Python, as well as experience working with data orchestration tools like Airflow or Dataform. Commercial experience with Spark and Databricks. Familiarity with leading integration More ❯

machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time More ❯

bounce, acquisition vs retention). Advantageous to have experience in GA4 analysis Build customer segments and create data selects using Bloomreach (ESP), Tableau or SQL Supply data to end users via integrations with Bloomreach or through other means Advantageous to have experience working with RESTful APIs to retrieve and send More ❯

their technical growth Collaborate with customers and stakeholders The Role As a Senior Looker Developer, you will have a strong background in data analysis, SQL, and LookML and be responsible for developing and maintaining Looker models, views and dashboards, ensuring data quality, and enabling data-driven decision-making across the More ❯

digitally fluent, with experience using modern tools and platforms to enhance efficiency (e.g., AI tools, project management software). Familiarity with data tools like SQL, Python, or R is a plus but not essential. Is obsessively driven to achieve excellence, with a relentless focus on delivering high-quality results. This More ❯

design and tests. 🌱 About You Professional experience building Kotlin (or Java) services on Spring Boot in production. Solid knowledge of PostgreSQL schema design, indexing, SQL queries and migration tools ( Liquibase or similar) and fluency with jOOQ or similar tools for type-safe data access. Comfortable writing tests (JUnit, Testcontainers, MockMVC More ❯

Ability to work independently Knowledge of SSIS and integration Knowledge of Azure services like Logic Apps and Azure Functions Ability to write and optimize SQL queries for data manipulation Familiarity with Application Lifecycle Management practices and DevOps tools Experience in creating custom reports and dashboards in Dynamics 365 Understanding of More ❯

DAX, and Power Query (M) Contribute to the design of semantic models, data marts, and data warehouse structures Integrate data from various sources including SQL databases, APIs, and cloud storage (e.g., Azure Data Lake, OneLake) Implement and maintain standards around data quality, security, and governance Participate in discussions with cross … of experience in data engineering with a strong focus on Microsoft Azure Practical experience with Azure Data Factory, Synapse Analytics, Azure Databricks, and Azure SQL Advanced Power BI development skills, including DAX, Power Query, and visual/report design Strong SQL proficiency, including performance optimization and query tuning Extensive, hands More ❯

Lead full stack development for a data analytics platform. Design and integrate RESTful APIs and optimize overall application performance. Manage and query databases using SQL and related tools. Collaborate in an Agile team environment with clear documentation and iterative development. Implement DevOps and security best practices for cloud application development. … Required Skills & Experience Cloud Certification: AWS, Azure, or Google Cloud (with hands-on experience in developing cloud applications). Technical Skills: C#, JavaScript, Node.js SQL & Database Management API Development (RESTful) Version Control (Git) CI/CD Pipelines Testing Frameworks Platform Experience: Power Apps Power Automate Azure Functions Apigee Proxy SharePoint More ❯

Soda to ensure the accuracy, reliability, and integrity of data throughout its lifecycle. Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure … processes Qualifications Required Qualifications: · Bachelor's degree in Computer Science or a related field. · Proven hands-on experience as a Data Engineer. · Proficiency in SQL (any flavor), with experience using Window functions and advanced features. · Excellent communication skills. · Strong knowledge of Python. · Familiarity with Azure Services such as Blobs, Functions … Knowledge of various data modeling techniques, including Star Schema, Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker). · Related/complementary open-source software platforms and languages (e.g. More ❯

openness to new ideas; Professional integrity and a respect for company values. Other requirements Essential Proven experience working in Data Engineering. Proven experience with SQL, SSIS and SSAS. Proven experience with data modelling. Ability to create a strong relationship with stakeholders. Excellent communication skills with the ability to collaborate effectively … business requirements and translating these into technical deliverables. Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles More ❯