276 to 300 of 1,305 Remote/Hybrid SQL Jobs

What you'll need to succeed We are looking for proficiency in software coding, ideally Python but open to strong Excel/VBA/SQL, automated testing, C#/Java etc for the development of Workflows. Communication skills are paramount as you are the interface between the development team ...

related field - or related work experience Desired Skills and Experience: Regulatory Reporting, Liquidity Management, Accounting, Data Management or similar background/experience SQL, Database knowledge & ability to analyse data and related flows Experience working with quantitative models Knowledge of Banking and Capital market products Experience with Microsoft Suite - Word, PowerPoint ...

fraud detection, or AML systems. Strong knowledge of financial crime legislation, regulatory expectations, and good customer outcomes. Experience using data tools such as Python, SQL, advanced Excel, or BI platforms to identify trends, risks, and control weaknesses. Confidence working with rule-based monitoring systems, including testing and performance evaluation. Ability ...

driven architectures and messaging platforms such as Kafka. You have strong understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of SQL and NoSQL databases. You are experienced in CI/CD pipelines, automated testing, and modern deployment practices. You are a skilled mentor with the ability ...

driven architectures and messaging platforms such as Kafka. You have strong understanding of RESTful APIs, microservices, and distributed system design. You have knowledge of SQL and NoSQL databases. You are experienced in CI/CD pipelines, automated testing, and modern deployment practices. You are a skilled mentor with the ability ...

engineers Ability to gather and analyze facts, analyze big data, define problems, and suggest solutions Prior experience or interest in data analysis including python, sql, API's and power bi Benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment ...

Intelligence positions. Power BI Data Visualisation and Design (Dashboards). Power Query expert. DAX experience is a must for this role. Experience writing in SQL (SQL Server). Experience working with large data sets. Desirables: Experience working on Azure based Projects. Worked within the sports or events industry. Methodology experience ...

quality assurance in all reporting outputs Personal Experience Advanced Power BI skills, including DAX, data modelling, and Power Query Strong Excel skills Basic SQL knowledge Proven experience working with trust-level education data, ideally within a multi-academy trust or similar large education organisation Ability to deliver reporting solutions independently ...

Requirements * Degree in a STEM subject or equivalent experience with strong statistical understanding * Proven experience delivering machine learning models into production environments * Strong Python, SQL and PySpark skills for scalable, production-grade development * Hands-on experience establishing MLOps processes within Databricks * Experience building data pipelines for structured and unstructured data ...

/4HANA, SAP Datasphere, SAP MDG. Data Governance & Quality Tools: Tools: Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Technical Skills: Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Bachelor's degree ...

knowledge of Palantir Foundry (Ontology, pipelines, apps, AIP); Palantir certifications desirable. Proficiency in at least one coding language (e.g., Python/PySpark, R, Java, SQL, Typescript) and experience with object-oriented design or software engineering. Strong understanding of data engineering, modelling, platform integration, UX design, and data visualisation. Excellent communication ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...

modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare ...