1 to 25 of 79 SQL Jobs in Central London

role We are looking for a hands-on Senior Data Architect who is equally comfortable designing the target state for a multi-system SQL data estate, writing and tuning the T-SQL that delivers it, and standing up the security, monitoring and operational practices that keep it running. You will … warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting estate from SSRS to Power BI. You will set the technical direction for the data team ...

Data Engineer London - Hybrid £65,000 - £75,000 Azure Data/SQL/Financial Services I'm currently working with a growing data and technology consultancy who are looking to bring a Data Engineer into their expanding delivery team. The business works with a range of organisations across telecommunications, financial … office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball ...

across: Building data pipelines using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Developing data models and analytics solutions Power BI development ETL/ELT SQL and SQL Server Azure Data Lake Internal and third-party API integrations Azure DevOps and Git CI/CD and production deployments Supporting existing Synapse … Fabric depth and longer-term ownership , rather than simply meeting an arbitrary number of years. Youll also need experience across several of the following: SQL Data modelling ETL/ELT development Azure data platforms Azure Data Lake API integrations Git/source control Azure DevOps CI/CD Developing, deploying ...

Criteria Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation ...

Azure equivalents. Strong understanding of data platform architecture, data pipelines and distributed processing . Experience with relational and NoSQL databases . Strong SQL skills and understanding of data modelling and schema design. Experience with CI/CD and DevOps practices . Experience using Terraform or equivalent Infrastructure as Code technologies ...

communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/AI. Benefits What We Offer ...

Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional ...

highly desirable. Candidates from other financial services environments, including Risk, Finance, Operations, Change, Business Management, or Regulatory functions, will also be considered. Strong SQL skills and experience working with large datasets. Hands-on experience with Power BI, Tableau, or similar reporting tools. Advanced Excel skills. Strong communication skills with ...

have strong data engineering experience, combining hands-on technical capability with leadership and stakeholder engagement skills. Key requirements include: Strong programming skills in Python, SQL or similar programming languages. Extensive experience with AWS Experience building, maintaining and optimising data pipelines and ETL processes. Understanding of data engineering principles, data management ...

services to build and deploy cloud-based solutions, ensuring high availability and scalability. Database Management: Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance. Batch Processing: Develop and manage batch processing systems to handle large volumes of data efficiently. Code Quality: Ensure code quality through ...

insights Qualifications 5+ years of experience in data analytics 2+ years of experience in advanced analytics and statistical techniques You have extensive experience with SQL, dbt (ideally) and Python/R. The biggest challenges you will face is how to scale and productionise efficiently your code, models and ETLs. When ...

across projects. Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency. Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation. Assess logical and physical data models for quality, integrity, performance and alignment with business requirements. Validate business … data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data integration best practices and concepts Strong SQL skills required scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. ...

workflows. Kanban and CI/CD: Comfortable with Kanban workflow, continuous integration, Jira, and rapid iteration cycles. Git and version control: Professional-grade proficiency. SQL: Ability to query and analyse data from our systems. Experience delivering under time pressure: Ability to prioritize effectively, ship MVPs quickly, and iterate based ...

similar complexity. Experience working within the banking or financial services industry. Proven Full Stack development experience, including: React (Front End) Python (Back End) Strong SQL skills. Ability to understand business needs and translate them into technical solutions. English language proficiency at B1 level or above . Highly proactive and self ...

tools. Solid understanding of API development, systems integration and connecting multiple enterprise data sources. Experience with modern development languages and technologies, such as Python, SQL and relevant backend frameworks. Ability to rapidly translate business requirements into working technical solutions without relying on large engineering teams. Excellent stakeholder management and communication ...

tools. Solid understanding of API development, systems integration and connecting multiple enterprise data sources. Experience with modern development languages and technologies, such as Python, SQL and relevant backend frameworks. Ability to rapidly translate business requirements into working technical solutions without relying on large engineering teams. Excellent stakeholder management and communication ...

proven track record of designing and operating enterprise-scale data platforms. Strong experience across cloud data architecture, Snowflake/Databricks/BigQuery, SQL, Python, data modelling and modern data engineering practices is essential. Experience across AI/ML, knowledge graphs, unstructured data, SaaS or customer-facing data products would ...

Strong commercial Python development experience Experience developing Market Risk or closely related risk technology Good understanding of VaR, Greeks and sensitivities Strong database and SQL knowledge Experience with Snowflake highly desirable Experience building scalable or distributed applications Understanding of financial products and their associated risk Experience working directly with Risk ...

REST, GraphQL). Hands-on experience with observability tooling (Datadog, Grafana, or similar) and a data-informed approach to system health and reliability. Solid SQL and data management skills, with an appreciation for AI-enabled, data-driven systems. Familiarity with CI/CD, containerisation (GitHub Actions, GitLab CI, Docker ...

hands-on KDB+/q development experience. * Strong Python development skills. * Experience working with large datasets and time-series databases. * Good knowledge of SQL and Linux/Unix environments. * Strong analytical and problem-solving skills. Experience within financial services or capital markets would be preferable. Please apply for immediate interview ...

understanding of market risk, preferably for fixed-income Good knowledge of derivatives (e.g. options, swaps, futures etc.) Good knowledge of database technologies such as SQL, Postgres etc. Able to deliver projects to agreed deadlines with excellent prioritisation skills Benefits Life at our client is a rewarding journey within a fast ...

continuous delivery and 100% infrastructure-as-code Containerising and deploying applications via Azure Kubernetes Service Working with Entity Framework code-first data against Azure SQL or NoSQL databases Designing resilient microservices integrated via a cloud message bus Upholding secure coding and infrastructure standards Levelling up your own skills and sharing ...

hands-on experience developing production-ready solutions in WTW Radar . A solid understanding of general insurance pricing and rating algorithm design. Experience with SQL, Python, R, SAS, Excel or VBA. Knowledge of software development practices, including testing, version control, documentation and controlled releases. Strong analytical, problem-solving and communication ...

accelerate development, while owning the output What We're Looking For Strong, hands-on core Java, Spring/Spring Boot, and relational database/SQL experience FIS systems experience - this is key for the team Excellent communication skills, confident engaging with business stakeholders across varying levels of seniority Experience working ...

presentation skills. Ability to manage multiple priorities across concurrent projects. Desirable Skills You will have: Experience across additional Oracle EBS modules, particularly Financials. SQL knowledge and understanding of Oracle Supply Chain data structures. Functional and technical troubleshooting experience. Experience supporting bespoke customisations and integrations. Oracle Cloud exposure is advantageous. Ready ...