101 to 125 of 318 SQL Jobs in the City of London

bachelor's degree or higher, with 3+ years' experience in financial operations data analysis at large internet companies or multinational corporations; 2. Proficiency in SQL/Hive and other data languages, with fluent use of Microsoft Office (Excel, PowerPoint, Word); 3. Strong logical reasoning, resilience under pressure, data analysis skills ...

tracking (eg, MLflow), model registry, CI/CD for ML. Serving and orchestration: AWS SageMaker, EKS, batch & Real Time inference. Data pipelines: Spark/SQL, orchestration (Airflow), monitoring for drift/perf. Nice to Have Cost/performance optimisation on AWS; GPU scheduling; quantisation/distillation. Experience working within Financial ...

Guildford – 5 days per week onsite What you’ll be doing: Design, build, and optimise scalable data pipelines and architecture Work hands-on with SQL, PySpark, Databricks, Azure, and Data Lake to deliver high-performance solutions Translate business needs into technical requirements and data-driven solutions Ensure best practice ...

experience with Kubernetes, Linux/Unix, and containerised systems. Experience building and operating deployment pipelines and debugging distributed systems. Knowledge of relational databases (SQL) and NoSQL technologies. Familiarity with modern architectures including containers, APIs, and streaming platforms. Experience working in Agile environments and using Git with established branching strategies. Ability ...

with engineering and analytics teams to deliver scalable, high-value solutions. Key attributes of the suitable Data Scientist include: Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models. Exposure to MLOps or ML engineering practices , including pipelines ...

from high-level models down to individual fields. Essential Requirements Demonstrated experience in data analysis within an IT or technical environment. Strong proficiency in SQL and scripting languages including Python or R. Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working ...

provide actionable commercial insights. What We’re Looking For Proven experience leading or managing a data science or analytics team. Strong technical foundation in SQL, Python, and machine learning principles. Excellent communication and stakeholder management skills – comfortable operating with senior leadership. Experience in a product-led, digital or marketplace environment ...

governance, metadata management, data quality, and data access management. Familiarity with regulatory frameworks such as BCBS239, Dodd Frank, MiFID, and EMIR. Strong proficiency in SQL, Python, and familiarity with AI and data management tools (e.g., Databricks, MS Power Automate). Excellent communication, problem-solving, and analytical skills. What We Offer ...

base + 15–20% discretionary bonus Working model: Hybrid, 2–3 days per week in a central London office (flexible) Tech stack: Python, SQL, Databricks, AWS/GCP/Azure, Git, Docker Benefits: 7% employer pension, private medical (family cover), life assurance, income protection, 25 days holiday + bank holidays ...

customer-facing environments. Proficient in Python (pandas, NumPy, Matplotlib) for data manipulation and analysis. Hands-on experience with graph databases, such as Neo4j. Strong SQL skills and familiarity with relational database environments. Experience building dashboards and visualisations in OpenSearch or comparable tools. Excellent communication, able to translate complex data into ...

application design and architecture Highly analytical mindset, with an ability to see both big picture and the details Experience with the database management tool SQL is a plus, but not mandatory Perks of joining the team: Competitive compensation & benefits package Remote Work Environment How to get started ...

lead capacity within a high growth B2C environment. A proven track record of driving product and commercial strategy through actionable data insights. Advanced SQL skills and experience working with very large datasets. Expertise in A/B testing and experimentation frameworks. Exceptional communication and data storytelling abilities to engage both ...

ReAct, CoT loops, LangGraph, and MCP. Build and productionise agentic AI solutions with strong evaluation, observability, and orchestration. Scale deployments across diverse environments (SQL-based workflows, pandas, RAG pipelines, distributed compute). Define evaluation standards : Pass@N, multi-run testing, retriever benchmarking, component diagnostics, and quality gates. Lead client-facing ...

projects Technical Requirements 2–3 years of back-end engineering experience, ideally in a startup environment Strong knowledge of Python and Flask Proficiency with SQL and Postgres Experience with AWS services (migration experience is a plus) Ideal Candidate Quality Focus: Obsessive attention to detail and commitment to shipping polished ...

Microsoft Fabric Platform Have knowledge of Spark Programming Ability to write Spark code for large scale data processing, including RDDs, Data Frames, and Spark SQL Python/Notebook programming PySpark programming Spark Streaming/batch processing Delta table Optimization Fabric spark jobs Java programming language, OOP knowledge Database knowledge, including … Relational Database and Non-SQL database. Experience of using the tools: Gitlab, Python unit test, CICD pipeline. Good skill of troubleshooting Familiar with the Agile. Well communication. Good English listening and speaking for communicating requirements and development tasks/issues Hands-on experience with lake houses, dataflows, pipelines, and semantic ...

intersection of data engineering and applied analytics. Qualification : 8+ years of experience in Data Analytics, Data Engineering, or Applied Data Science Expert proficiency in SQL for complex queries, data modeling, and transformation logic Strong experience with data pipelines and orchestration tools Hands-on experience with big data ecosystems (e.g., Snowflake … tools. Advanced Analytics & Insights: Conduct deep-dive analyses and root-cause investigations to identify patterns, trends, and optimization opportunities across global support operations. Use SQL, Python, or R to build analytical scripts, support experimentation frameworks, and perform ad-hoc statistical analyses. Partner with Data Science teams to productionize analytical models ...

systems. Provide support for services built in Java and .NET, ensuring seamless integration and continued reliability. Enhance and maintain existing solutions using Oracle SQL PL. Database & Data Services: Work with relational databases including Oracle, SQL Server, and Postgres. Optimise data models, queries, and stored procedures to improve performance and maintainability. … improvement. What We're Looking For Strong experience developing backend services with Python, plus working knowledge of Java and/or .NET. Proficiency in SQL and experience with Oracle PL/SQL or similar technologies. Hands-on experience with cloud platforms (AWS, Azure), containerisation, DevOps tooling, and CI/ ...

foundations of statistics and machine learning 5+ years of hands-on experience designing, prototyping, productionizing, and maintaining data science solutions in complex environments Advanced SQL skills Experience building reusable, scalable data science products Strong written and verbal communication skills, with the ability to explain complex concepts to both technical ...

senior stakeholders Maintain a structured knowledge base of product insights and learnings Deliver experimentation roadmaps and hypothesis-driven product improvements YOUR SKILLS & EXPERIENCE Strong SQL with hands-on experience analysing product data Exposure to dbt and version-controlled analytics workflows Python for deeper analysis and exploration Experience with modern ...

best practices across the data function. Help evolve the analytics platform in line with the company’s rapid growth. Qualifications & Experience Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience ...

data requirements. Basic understanding of financial instruments, securities, derivatives, or trade reporting (beneficial but not mandatory). Comfortable working with datasets using Excel, CSV, SQL (basic-intermediate), or similar tools. Strong documentation and communication skills with attention to detail. Ability to work independently on assigned tasks while escalating questions appropriately. ...

Senior C++ Developer (Python, SQL, Linux, Trading, FinTech, Financial Technology) This is a hybrid role, 2 days remote and 3 days in the office Our client actively encourages diversity, equality and inclusion within its workforce and welcomes applications from a diverse background, REC Solutions Limited does not discriminate in regards ...

teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform, but at the same time someone comfortable with communicating ...

Azure Data Factory - including pipelines, triggers, and data flows. Familiarity with Azure Synapse Analytics - understanding data warehousing concepts and testing strategies. Proficiency in advanced SQL and DocumentDB (Cosmos DB) queries - capable of writing, optimizing, and troubleshooting complex queries for data validation. Excellent communication and coordination skills - able to collaborate effectively ...

corporate actions, coupon payments and other lifecycle events, ensuring full data integrity for front-office trading and research teams. Tech Stack: Python/C#, SQL, distributed systems, CI/CD pipelines The core function of this role is to ensure the availability, quality and automation of derivatives reference data ...