851 to 875 of 3,131 Remote SQL Jobs

Science, Statistics or Mathematics Proven experience in technical consulting or client-facing data science roles with strong stakeholder engagement skills Proficiency in Python and SQL; familiarity with R is advantageous Practical experience in building statistical models or predictive algorithms Hands-on exposure to contemporary AI concepts and GenAI frameworks (e.g. ...

data to improve business outcomesExposure to CRM or data management platforms (such as Dynamics 365), with knowledge of data quality, customer hierarchies, MDM or SQL being advantageousWe also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic ...

data to improve business outcomesExposure to CRM or data management platforms (such as Dynamics 365), with knowledge of data quality, customer hierarchies, MDM or SQL being advantageousWe also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic ...

data to improve business outcomesExposure to CRM or data management platforms (such as Dynamics 365), with knowledge of data quality, customer hierarchies, MDM or SQL being advantageousWe also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic ...

data to improve business outcomesExposure to CRM or data management platforms (such as Dynamics 365), with knowledge of data quality, customer hierarchies, MDM or SQL being advantageousWe also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic ...

Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.Software Engineering: Hands-on experience with foundational software engineering practices.Database Proficiency: Strong knowledge of SQL for querying and managing data.Scalability: Experience scaling computations using GPUs or distributed computing systems.ML Integration: Familiarity with exposing machine learning components through web services ...

healthcare or other regulated industry experience. Modern data warehouse and lakehouse platforms such as Amazon Redshift, Snowflake, Databricks, Google BigQuery or Azure Synapse. Strong SQL expertise and proficiency in Python or Java. Infrastructure as Code technologies including Terraform and CloudFormation. MLOps frameworks and AI platform engineering. CI/CD tooling ...

backend services with C#/.NET . Distributed Systems: Experience building loosely coupled architectures using event-based or message queue patterns. Data & Cloud: Strong SQL skills (database design and query optimization) and experience operating services on a major cloud platform (we run exclusively on Azure , but equivalent ...

system reliability and minimal downtime. Skills, Knowledge and Experience Experience in data engineering or data warehousing with large-scale, complex datasets. Experience writing complex SQL queries. Experience with Python or a similar programming language, with the ability to turn business requirements into working solutions. Experience with cloud data services ...

drivers of company earnings, valuation, and sector dynamics) alongside quantitative techniques.Experience analysing and using alternative datasets in an equity investment process.Proficiency in Python and SQL, and a demonstrated ability to work fluently with data and analytical tools.Experience applying AI or ML to equity research.Excellent communication skills, with the ability ...

ideally within a product-led or high-growth tech environmentDeep expertise in analytical methods including LTV modelling, cohort analysis and regression techniques.High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R).Hands-on experience with DBT and familiarity with data modelling ...

engineers’ capabilities Strong grasp of data quality practices: data contracts, pipeline observability, SLA/SLO definition, and automated alerting and remediation Solid understanding of SQL transformation patterns and modern tooling such as dbt, alongside experience managing ingestion estates with third-party connectors and in-house integrations Clear and confident communicator ...

MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience ...

MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience ...

MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience ...

data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scaleWhat you'll needStrong proficiency in Python and SQL, with a solid backend or data engineering foundationHands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud providerExperience building data ...

chain, but with tribe leads, product managers, and operational teams. You've driven adoption of your team's work.Strong hands on technical capability, including SQL, Power BI, and Python or similar. You build capability by doing, not just directing.Communication and conviction, with the ability to operate credibly with senior stakeholders ...

track record as a Senior Business Systems Analyst ideally in a financial services, fintech, or regulated environments Technical & Integration Proficiency: Hands‐on experience with SQL, relational databases, XML, and JSON/YAML data structures, combined with a practical understanding of RESTful API specifications, system integration patterns, and cloud‐based architecture. ...

Capability Mapping, Enterprise Modernization, and Agentic AI.Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments.Ecosystem Knowledge: Strong understanding ...

fundamentals, API ecosystems, along with legacy on-premise enterprise architectures.Strong background in Data Architecture, Integrations patterns, and a development background in data-related languages (SQL, Python, etc.)Strong technical background with a focus on system integrations, data operations, and automation capabilities.The ability to comfortably switch from explaining an architecture diagram ...

Capability Mapping, Enterprise Modernization, and Agentic AI. Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments. Ecosystem Knowledge: Strong ...

MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus.Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.Connect to your business - Technology ...

applied in professional delivery contexts.Proven hands-on experience with Google Cloud Platform, including practical delivery across core services such as Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, VPC, IAM, Cloud Functions, and Cloud Run.A track record of successfully contributing to the delivery of cloud engagements across their full lifecycle ...

applied in professional delivery contexts.Proven hands-on experience with Google Cloud Platform, including practical delivery across core services such as Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, VPC, IAM, Cloud Functions, and Cloud Run.A track record of successfully contributing to the delivery of cloud engagements across their full lifecycle ...

applied in professional delivery contexts.Proven hands-on experience with Google Cloud Platform, including practical delivery across core services such as Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, VPC, IAM, Cloud Functions, and Cloud Run.A track record of successfully contributing to the delivery of cloud engagements across their full lifecycle ...