376 to 400 of 8,927 SQL Jobs

understand requirements and deliver practical, value-driven data solutions. Drive continuous improvement across data engineering, reporting, and analytics capabilities. Essential Requirements Strong expertise in SQL and Python (PySpark desirable). Proven experience designing and building cloud-based data platforms from inception. Hands-on experience with Databricks, Spark, modern data lake ...

capabilities, and skillsStrong analytical and problem-solving skills with attention to detailHands-on experience building and prototyping data models to address user needsProficient in SQL and Python for data analysis, engineering, and transformationRelevant experience developing, testing, and refining data models using dimensional and relational approachesCurious mindset with a drive ...

would expect experience across many of the following: Microsoft Fabric Azure Databricks Azure Synapse Analytics Azure Data Factory Azure Data Services Power BI SQL Python Lakehouse Architecture Data Governance Data Modelling Cloud Data Platforms AI & Machine Learning DataOps/DevOps Who Will Succeed in This Role? You are someone ...

collaborative problem-solving within the team. Work closely with the NDA Service Team to meet project deadlines and deliverables. About You Proven experience with SQL for data analysis, automation, data engineering and reporting solutions. Experience creating ETLs for optimal performance and scalability. Demonstrated proficiency with data modelling/engineering using ...

identify trends, anomalies, data quality issues, and emerging risks. Experience with data modeling (star/snowflake schema, dimensional modeling). Proficiency with relational database (SQL) and programming/scripting (Python or R). Typically 2 years of relevant experience in information security, IT, data analysis, statistics, or related field. Strong ...

answer business questions and generate actionable insights. Strong statistical and analytical skills. Advanced experience with R or a similar statistical programming language. Strong SQL skills and experience working with data warehouses. Experience developing dashboards and reporting, ideally using Tableau. Experience using Python for scripting, automation or deployment. Experience working with ...

analytics engineering role with a strong focus on marketing measurement Hands-on experience with multi-touch attribution methodologies and media mix modelling Strong SQL skills experience using it for data manipulation, data analysis, and modelling Direct experience with mobile attribution platforms, particularly AppsFlyer Familiarity with the privacy landscape across both ...

analytics engineering role with a strong focus on marketing measurement Hands-on experience with multi-touch attribution methodologies and media mix modelling Strong SQL skills; experience using it for data manipulation, data analysis, and modelling Direct experience with mobile attribution platforms, particularly AppsFlyer Familiarity with the privacy landscape across both ...

practice adoption. Proven experience leading or owning large-scale data platform initiatives, particularly migration projects from on-premise environments to cloud-based solutions. Advanced SQL expertise with experience optimising complex queries, transformations and data workloads. Experience designing analytical data models and supporting datasets that enable effective Power BI reporting. ...

designing and implementing Snowflake architectures for enterprise clients. Strong consulting values with the ability to interface effectively with senior stakeholders. Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools. Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption). Ability to link business ...

practice adoption. Proven experience leading or owning large‐scale data platform initiatives, particularly migration projects from on‐premise environments to cloud‐based solutions. Advanced SQL expertise with experience optimising complex queries, transformations and data workloads. Experience designing analytical data models and supporting datasets that enable effective Power BI reporting. ...

capabilities, and skills Formal training or certification on data engineering concepts and advanced applied experience in data analytics/BI/operations analytics. Strong SQL skills (CTEs, window functions, performance-aware querying). Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with ...

implementing data pipelines, ETL processes and data warehouse solutions. Previous experience leading engineering projects, mentoring colleagues or managing data engineering teams. Strong Python and SQL skills, with experience working with large-scale datasets and distributed data processing environments. Experience with technologies such as Apache Spark and modern data engineering frameworks. ...

Office (Excel, Power BI), Azure DevOps, VBA and DAX. Good experience in developing visual reports, dashboards and KPI scorecards using Power BI. Proficient in SQL, with practical experience in R or Python. Experience in connecting data sources, importing data and transforming dataWorking knowledge of insurance & reinsuranceStrong and analytical skills with ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...

data mapping, error handling, monitoring, logging, authentication, security, and operational support practices Experience with integration technologies such as REST APIs, SOAP services, JSON, XML, SQL, ETL processes, scheduled jobs, message queues, middleware tools, or related connectivity patterns Experience supporting enterprise applications, SaaS platforms, databases, reporting environments, business workflows, and production ...