2,701 to 2,725 of 7,756 SQL Jobs in the UK

analytics, experimentation, predictive modelling using statistical rigor as the throughline, from validated instrument design through to automated, auditable analysis pipelines (Python/R/SQL). Pioneer AI-assisted techniques (e.g. LLM-assisted open-text analysis) where they genuinely sharpen the work, evaluating any AI tooling with a critical … methodology (instrument design, sampling, psychometric validation) and statistical grounding (regression, factor/cluster analysis, significance testing). Hands-on proficiency in Python, R, or SQL, and direct experience with large behavioural datasets (e.g. Amplitude, Looker, BigQuery). A track record of quant research that measurably shaped product or business decisions ...

JSON formats Capability in at least one programming or scripting language, such as ABAP, VB, C++, PowerShell, Groovy, XSLT, XQuery or SQL Experience with middleware applications and integration methods Knowledge of SAP PI, SAP BTP Integration Suite, SAP BTP Services or API Management An understanding of software development principles ...

coverage on multi-cloud or Azure-primary or GCP-Primary client environments: Azure equivalents across application (AKS, Azure App Service, Azure Functions), database (Azure SQL, Cosmos DB, Azure Database for PostgreSQL), and infrastructure (Azure VMware Solution, Azure Arc, Azure Virtual Network) domains Azure-to-AWS migration architecture for clients consolidating ...

RoleWe are looking for a product-focused Senior Software Engineer to join our Experiences Engineering team. This is a full-stack role, leveraging Java, SQL, React, AWS and AI tools. It suits "T-shaped" engineers who thrive on autonomy and technical leadership. You'll build and maintain highly scalable distributed ...

engineers and reviewing data cataloging tools or APIs Demonstrated ability to think systemically about data interoperability, governance, and reusability Proficiency in Python and or SQL We’d love to see: Exposure to fixed income or financial datasets (e.g. corporate bonds) — or a willingness to learn the domain Experience with data ...

NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib. Experience developing machine learning models for prediction, optimisation or classification. Strong SQL skills and experience working with relational databases. Sound understanding of statistics, predictive modelling and machine learning techniques. Experience working with geospatial datasets using GeoPandas, QGIS ...

facing role (Forward Deployed Engineering, Implementation Engineering, or Software Engineering) Strong hands-on experience building and shipping production systems in customer environments Proficiency in SQL and at least one scripting language (Python, JavaScript, or similar) Experience working with APIs, webhooks, and system integrations Familiarity with modern data stacks (e.g., Snowflake ...

plus Knowledge of industry-wide technology trends and best practices Knowledge of multiple Cloud Platforms Proficiency in database technology such as Oracle/MS SQL/Cockroach #J-18808-Ljbffr ...

Strong experience designing and developing data integrations (CDI), including both ingestion and egress patterns Strong experience designing and developing API using Informatica CAI Solid SQL skills and a strong understanding of data modelling and relational databases Experience working with modern data ecosystems and integrations (e.g. SAP, Snowflake, Salesforce, Mulesoft, Adobe ...

processes and technologies. Requirements Management: Capture and document business processes and requirements, maintaining these outputs until handover into the business. Data Analysis: Utilise SQL to analyse data sets, identifying trends, patterns, and insights to support data-driven recommendations and decisions. Record risks and dependencies effectively. Management Reporting: Establish management reporting ...

processes and technologies. Requirements Management: Capture and document business processes and requirements, maintaining these outputs until handover into the business. Data Analysis: Utilise SQL to analyse data sets, identifying trends, patterns, and insights to support data-driven recommendations and decisions. Record risks and dependencies effectively. Management Reporting: Establish management reporting ...

Lake Hands-on experience building and managing ETL/ELT pipelines, data lakes and data warehouses in a cloud environment Proficient in Python and SQL, familiarity with Scala or R advantageous Experience with data orchestration and workflow management tooling such as Azure Data Factory or Airflow Please see full ...

them on major cloud providers (AWS, Azure, or GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non‐SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful APIs and service integration patterns. Familiarity with OAuth 2.0 and OpenID Connect (OIDC). Understanding ...

plus. Hands-on experience with Python scripting and AI-driven automation in a business or operational context is highly valued. Basic proficiency in SQL to query the database and run analysis is a plus. J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/ ...

large-scale data pipelines In-depth knowledge of relational and distributed databases (e.g., Oracle, Databricks) with hands-on experience in query optimization, PL/SQL, and shell scripting in a cloud-native AWS environment Demonstrated ability to lead or contribute to architectural design discussions, technical evaluations, and proof-of-concept ...

Understanding of configuration differences across development, test, staging, and production-like environments Familiarity with Docker and Kubernetes from a testing and deployment perspective Strong SQL skills for test data setup, validation, and investigation Experience testing systems that use Redis, Elasticsearch, or other NoSQL technologies Strong understanding of boundary value analysis ...

visibility should adapt. Experience with incrementality measurement methodologies (geo-based lift tests, holdout studies) and third-party measurement partners. Ability to write your own SQL against a data warehouse such as Snowflake or BigQuery Familiarity with CRM and marketing automation data — Salesforce in particular — and how the marketing-to-sales ...

teams to understand, translate, review, and playback requirements and collaborate to develop Model Engineering solutions. Exposure to working with data sets through tools like SQL, JavaScript, or Python. Adds to team culture of diversity, opportunity, inclusion, and respect. Preferred Qualifications, Capabilities, and Skills Knowledge of Programming Language Design and Implementation. ...

developing relationships and orchestrating teams to achieve long-term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure ...

that enable the Data Engineering team to deliver repeatable, high-quality data products. Design robust integration patterns for heritage systems (AS400, iSeries, and legacy SQL DBs) into Snowflake. Ensure the architecture supports incremental loading, data reconciliation, and auditability as required by the Engineering team. Architect cross-cloud and internal data ...

GDPR, data privacy and information management principles. Experience working with cloud data platforms such as Snowflake, Azure, AWS or Google Cloud. Exposure to SQL and an understanding of modern data architecture. Experience operating within Agile or change-led environments. Experience managing or mentoring Data Governance Analysts, Data Stewards or other ...

React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/ ...

Need Strong analytical mindset and skillset: You're advanced in Excel and comfortable with: structured data, BI tools (Tableau, Lookr, Power BI) and SQL (3+ years preferred) and can turncomplex numbers into clear insight and action. Commercial curiosity: You're genuinely interested in how businesses make commercial decisions ...

debug it. When something’s slow, you fix it. Data Engineering. Build and maintain pipelines (ingestion, transformation, validation). You’re comfortable in Python, SQL, and the terminal. You’ve wrangled messy data before and you know how to make it clean. This sits between data science and engineering. ...