26 to 50 of 8,577 SQL Jobs

business users to the executive level. Conduct comprehensive data analysis to support business decisions, enhance data quality, and resolve operational issues using SQL, Python, and ETL tools. Present and communicate clear and timely findings to business and technical stakeholders. Provide strategic insights and recommendations to influence business decisions. … with strategic impact. Familiarity with agile methodology and experience in agile ceremonies. Experience in leading and mentoring teams in agile environments. Demonstrated experience writing SQL and python scripts for analysis of data warehouses in any of the following database platforms: Databricks Delta Lake, Snowflake, Oracle, Microsoft SQL Server. Demonstrated experience ...

Serve as a key liaison across Investments, Enterprise Data & Integrations, peer data owners and delivery teams. Conduct comprehensive data analysis, profiling and reconciliation using SQL, Python and ETL or data-quality tools to support decisions, enhance data quality and resolve operational issues. Act as a subject matter expert for fixed … risk, performance and operations. Proven track record leading analysis on large-scale data transformation, platform migration or investment data change initiatives. Demonstrated experience writing SQL and Python scripts for analysis, validation, reconciliation and automation. Experience with data warehouses or cloud platforms such as Snowflake, Databricks, Microsoft SQL Server. Proven ability ...

roadmap: track delivery of quick-wins, report progress on mid-term initiatives, and flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent ...

roadmap: track delivery of quick‐wins, report progress on mid‐term initiatives, and flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent ...

publish data across enterprise platforms. Work with structured and semi-structured data, applying appropriate data modelling, validation, and quality checks. Write and optimise SQL for data transformation, reconciliation, and performance tuning. Cloud Data Platform & DataOps Develop and support data solutions on Snowflake as a core cloud data platform. Use DataOps.live … analytics and decision-making. Preferred Skills & Experience Hands-on experience with Azure Data Factory, including pipeline orchestration, triggers, linked services, datasets, and monitoring. Strong SQL skills and experience working with cloud data platforms such as Snowflake. Experience with DataOps.live or similar DataOps/DevOps tooling for automated deployment and environment ...

clear Dev/Test/Prod separation, deployment pipelines, dataset certification/endorsement, refresh monitoring and access management. Coach analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene; take part in code/report reviews and knowledge‐sharing sessions. Work closely with Data Engineering … Knowledge and Experience Essential Well developed and demonstrable experience in a data analytics or BI role, preferably in an insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL‐based semantic layers). Advanced Power BI: data modelling ...

Mathematics or Computer Science). A minimum 8 years of professional experience in Data Analysis. Proficiency in at least one Programming language such as SQL, R or Python. Preferred Qualifications Additional certifications in Data Analytics, Data Science or Business Intelligence (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate). … ensure data integrity. Extensive experience with Data Migration processes between systems and Data Source Identification. Proven experience in Data Consolidation, Database Management (e.g., SQL, Oracle, IBM DB2, Teradata) and Database Design. Expertise in creating Database Schema and managing Data Dictionaries. Significant experience with Machine Learning algorithms and frameworks for building ...

emerging trends in Data Analytics and continuously integrating new tools and techniques to enhance client solutions. Proficiency in at least one Programming language (e.g., SQL, Python, R). Between 3 – 8 years of experience in Data Analysis or related roles. Hands-on experience with Data Visualisation tools such as Power … Tableau or Excel. Familiarity with Database Management and Design including SQL and Oracle. In-depth understanding of Data Governance principles and best practices in Data Management. Experience using Agile Project Management tools like Azure DevOps or JIRA. Experience with ETL processes and Data Migration between systems. Knowledge of Machine Learning ...

Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Degree or equivalent experience … relevant discipline. Proficiency in SQL and at least one of Python, R, DAX or Power Query. Strong analytical and problem‐solving skills with messy or incomplete data. Ability to translate business requirements into clear data or technical outputs. Strong written and verbal communication, including explaining technical content to non‐technical ...

Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Proficiency in SQL ...

Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with … data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

environments. Proven experience building, publishing, and supporting dashboards and reports using Power BI Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure ...

value individuals who can learn quickly and apply the right approach to solve business challenges. Experience in the following areas is highly desired: SQL and Python or R Building and maintaining data pipelines and analytical workflows Visually creative, with a good understanding of UX aesthetics gained from working with Power … specific sectors is preferred Experience of working with visualisation tools including Power BI, Tableau, Tibco Spotfire, RShiny, plotly-dash, D3.js, or QlikSense Experience in SQL (any variant), MS Excel and VBA Experience in applying various analytical techniques (e.g. naïve bayes, decision trees, random forest, xgboost and k-means), to calculate ...

reporting into this role. Design and develop homogenous data repositories to deliver data led decision making. Ingest data from various sources, including on premise SQL databases, REST API’s, Apache Kafka streams, etc. Define and apply cleansing rules to the data to ensure meets quality expectations. Define and model data … structuring code, testing, IOC, etc. Strong repositories, CI/CD skills. Strong knowledge of Kimball data modelling, such as star schema, snowflake, etc. Strong SQL skills. Strong data analysis skills. Excellent written and verbal communication skills A demonstrable track record of getting stuff done whilst managing competing pressures and deadlines ...

ensure close collaboration with the wider team and with our customers.## What you will do as a Senior Data Engineer* Design, administer and optimise SQL Server databases, ensuring performance, security, resilience, and availability.* Troubleshoot and resolve database-related issues in development and production environments.* Implement and maintain database security controls … junior engineers.## What you’ll bring* Proven experience in data engineering with ability to work independently and take ownership of deliverables.* Strong Python and SQL skills, with experience building and optimising data pipelines.* Strong experience with Microsoft SQL Server and working with large, complex databases.* Strong experience designing, administering ...

enterprise search, knowledge assistants, document intelligence, summarisation and workflow automation, with human oversight and defined controls. Build prototypes and production-ready solutions using Python, SQL, APIs and relevant Microsoft technologies. Work with stakeholders to define use cases, assess feasibility, and technical designs. Establish monitoring, testing, version control, deployment and support … Software Engineering, Information Systems, Mathematics, Engineering or a related discipline, or equivalent practical experience. Practical experience developing data pipelines, integrations or data platforms using SQL and Python. Experience with Microsoft Fabric, Azure data services or a comparable cloud data platform. Understanding of data modelling, ETL/ELT, APIs, data quality ...

data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives. Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational systems. Establish and maintain data quality standards, governance practices, and reporting best practices. Partner with leadership teams to define … Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms. Advanced Python programming skills for data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. Strong analytical and problem-solving skills with the ability ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments … such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. Perform root cause analysis and provide short‐term ...