701 to 725 of 8,260 SQL Jobs

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

who can improve best practises Proficiency with Python and extensive experience with frameworks such as FastAPI, Django, Flask or Supabase Knowledge of relational databases such as Postgres Expertise in SQL and familiarity with ORM frameworks such as SQLAlchemy Proven commercial experience building and maintain features with Javascript, Typescript, React and a keen interest in UI/UX Familiarity with cloud More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

a plus), Hands-on knowledge of Docker, Kubernetes, Git, CI/CD tools, and infrastructure-as-code principles, Familiarity with messaging systems (Kafka, RabbitMQ or others) and data modeling (SQL & NoSQL), Deep understanding of secure coding, IAM protocols, and compliance frameworks, Excellent analytical, leadership, and communication skills, Fluent in English; knowledge of Portuguese, French, or German is an advantage. Benefits More ❯

Education & Experience 3–5 years in BI architecture and team leadership Degree in Data Science, Computer Science, Information Systems, or related field Extensive hands-on experience with Azure Fabric, SQL warehousing, and Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Background in social care, childcare, or More ❯

/semantic model design for large models in Analysis Services/Power BI Intermediate to advanced data analysis, and analytical thinking skills Advanced knowledge in programming languages such as SQL, R, DAX/MDX, or Python Experience with Azure Synapse, or equivalent cloud database technology If you have the qualifications described and are interested in this exciting opportunity, please apply More ❯

dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master More ❯

dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master More ❯

dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master More ❯

dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master More ❯

dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master More ❯

dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master More ❯

e.g., HTML/CSS, JavaScript, XML, jQuery, Material UI, Angular Routes, jest/enzyme, Bootstrap5). Knowledge of cloud technologies ( e.g. AWS). Knowledge of database technologies (e.g. cloud, SQL, PostgreSQL, etc.). Fundamental knowledge of software engineers best practices, agile methodologies, CI/CD pipelines. Knowledge of test-first practices including Test-Driven Development (TDD) for unit tests and More ❯

data and inspires and motivates the people behind it. Commercial acumen, with experience identifying and shaping new opportunities. Robust knowledge of statistical concepts and expertise across analytical tools: databases (SQL, BigQuery, noSQL), programming (R, Python, Spark), visualization (PowerBI, Tableau), and machine learning. Deep expertise in advanced analytics, data science, and traditional analytics, with a high-level understanding of data engineering More ❯

tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative More ❯

to manage and mitigate cyber risks. About you: A deep knowledge and understanding of Cyber accumulations and experience with cyber catastrophe models (CyberCube, Moody’s RMS, Guidewire). Advanced SQL and excel skills. Familiarity with Power BI and Python an advantage. Excellent analytical and problem-solving skills, with a keen attention to detail. Current knowledge of compliance, regulatory and statutory More ❯

a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on More ❯

provisioning solutions for Linux systems such as RedHat Satellite, Puppet, Chef, Ansible or Terraform. Experience managing database platforms such as MySQL and/or Postgres and/or Microsoft SQL in clustered environments desirable. Knowledge of system and network security, including virus and spam management, intrusion detection, firewalls, VPN, and disaster management. Experience with system monitoring solutions such as Solarwinds. More ❯

assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven More ❯