1,101 to 1,125 of 3,186 Remote/Hybrid SQL Jobs

looking for an experienced Lead Data Engineer to join our growing Data Practice, working on a FinancialServices engagement centred on a large, long-lived SQL Server estate. You'll work as part of a multidisciplinaryteam helping a major FS client understand and de-risk a database landscape that has grown … unchecked, over 15years of trading activity. This is a role for someone who is comfortable going in without a map: a single SQL Server RDS instance holding around 1,100 tables and fifteen years of trade data, with no archiving strategy, no inventory of stored procedures, and tables duplicated across ...

quality, completeness, and relevance of AI-produced outputs. Compare multiple AI-generated solutions and identify the strongest response based on technical merit. Evaluate Python, SQL, analytics, machine learning, statistical, and data engineering-related content. Provide clear written feedback and justification for evaluation decisions. Identify factual inaccuracies, logical errors, coding issues … intelligence, artificial intelligence, or related applied disciplines. Undergraduate study does not count toward the minimum experience requirement. Working proficiency in Python and/or SQL, with the ability to read, understand, and evaluate technical code. Availability to commit 30-40 hours per week throughout the full 12-week assignment. Strong ...

structured products. Strong technical proficiency in Microsoft Excel (including VBA) and familiarity with trade booking platforms and workflow systems; experience with Python or SQL for automation and data analysis is highly desirable. Solid understanding of the trade lifecycle, including booking, confirmation, settlement, and reconciliation processes across multiple asset classes ...

features, integrations and platform enhancements. Contribute to modernising development processes and platform architecture. Drive modernisation of development processes and platform architecture Work across SQL databases, backend services, reporting tools and Windows-based applications. Champion the adoption of AI-assisted development tools and workflows. Required Skills & Experience Strong commercial experience with … experience is essential, given the platform's existing codebase. Experience with C# is valued and will support the platform's ongoing modernisation. Strong Microsoft SQL Server skills, including query writing, stored procedures and database design. Experience developing commercial software applications in a professional environment. Ability to work both independently ...

teams self-serve and make informed decisions. SKILLS & EXPERIENCE REQUIRED: Strong hands-on experience with Salesforce Marketing Cloud, including Content & Automation Studio, Journey Builder, SQL query, Cloud Pages and AMPscript Solid understanding of the wider Salesforce ecosystem, including Data Cloud, MCP/Personalization and Salesforce Service Cloud exposure Confident working … with SQL, data structures, integrations, Snowflake or similar data platforms Experience of change management, delivery governance, documentation and knowledge transfer in a technical or data-led environment Experience working within technical guardrails, with a focus on data quality, security awareness and safe-to-send practices People management experience, with ...

optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support ...

strategic decisions Support data infrastructure, pipelines, and data model development Candidate Profile 6–8+ years in Data Analytics, Data Science, or similar Advanced SQL and strong data modelling experience Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift, Postgres) Experience working with cross-functional stakeholders Strong communication skills with ability ...

model actually get used. Build predictive and machine-learning models from raw data Clean, engineer and explore large datasets in Python, R and SQL Translate business questions into experiments and measurable outcomes Deploy models to production and monitor them alongside engineering teams What does a Data Scientist do? Data scientists … model actually get used. Build predictive and machine-learning models from raw data Clean, engineer and explore large datasets in Python, R and SQL Translate business questions into experiments and measurable outcomes Deploy models to production and monitor them alongside engineering teams Data scientists build predictive models and machine-learning ...

level execution tools. Design and maintain dashboards covering account and territory views, opportunity management, activity, and pipeline analysis. Query and model data directly in SQL and BigQuery to answer questions beyond out-of-the‐box Salesforce reporting. Maintain data integrity and reporting consistency across regions, systems, and tools. Identify opportunities … tooling. About You Must-haves: You have 2–4 years of experience in a data analyst or similar analytics role. You have strong SQL skills and can write, troubleshoot, and improve queries independently. This is the most important technical requirement for the role. You have experience with a cloud data ...

Snowflake accounts, with no data movement required.You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services … DoBuild and evolve the Neo4j Graph Analytics for Snowflake application, embedding Neo4j Graph Data Science into the Snowflake platform.Design and improve our SQL-facing API: stored procedures, UDFs, and the surface area customers call from their warehouses.Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container ...

system validation (CSV) principles.Process Control Understanding: Familiarity with industrial automation concepts, including PLCs, SCADA, and how they integrate with higher-level manufacturing systems.Database and SQL Skills: Experience with SQL for data queries to support troubleshooting, data extraction, and report generation.What Will Give You the Competitive Edge (Preferred Qualifications):Problem-Solving ...

Contributing to the development of data best practices and analytics capabilities across the business Your Skills & Experience Strong commercial experience in data analytics Advanced SQL skills and excellent analytical problem-solving capability Strong business intelligence experience, ideally with tools such as Omni, Looker, or similar platforms Experience building dashboards from ...

user stories and functional requirements Experience using tools such as JIRA, Confluence, Visio, or similar Understanding of APIs, databases, and system integration concepts Strong SQL skills and experience analysing data to identify trends and data quality issues Experience working with cross-functional technology teams Desirable Experience: Experience with business change ...

deploying AI/ML, optimization, or other model-driven applications in production. Strongproficiencyin Python anda track recordof developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support ...

optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support ...

optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing and building APIs, services, data pipelines, or distributed systems that support ...

Models (LLMs), Time Series Analysis, Experience with TensorFlow, PyTorch, XGBoost, LightGBM, Proficiency with Git, Linux, Docker, MLflow, Airflow, AWS/GCP/Azure, Solid SQL and data visualization skills. Nice to have Proven experience leading projects and managing teams, Experience in presales, client workshops, or building Proof-of-Concepts (PoCs ...

Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with ...

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 ...

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 ...

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 ...

relationships across teams, suppliers and stakeholders. Experience across both D365 F&SCM and D365 CE, familiarity with PowerApps and Power Automate, and knowledge of SQL, Azure DevOps, LCS, data integrations or Microsoft functional certifications would all be advantageous. This role is based at Kew with the option of regular home ...

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 ...