51 to 75 of 3,873 SQL Jobs

surface and the dashboards you build directly influence how our teams operate and how well we support our patients.Who you areYou have strong SQL skills and can write queries confidently to extract, transform and analyse dataYou're comfortable with data visualisation tools and understand how to design dashboards that … keep stakeholders informed without requiring manual updatesEnsure dashboards are accurate, performant and easy to navigate for end usersContribute to data quality & modellingWrite clear, optimised SQL to query and manipulate data reliablyCollaborate with the Data Engineering team on data modelling, dbt transformations and data governanceIdentify and escalate data quality issues ...

intensive environmentWorking with data from multiple systems and structures and at different velocities including near real timeStrong knowledge of data architecture (Snowflake is preferred), SQL development, security, and process optimisationAdvanced SQL development including query development and optimisation, stored procedures, and performance tuningExpert knowledge of end-to-end enterprise BI using ...

intensive environmentWorking with data from multiple systems and structures and at different velocities including near real timeStrong knowledge of data architecture (Snowflake is preferred), SQL development, security, and process optimisationAdvanced SQL development including query development and optimisation, stored procedures, and performance tuningExpert knowledge of end-to-end enterprise BI using ...

intensive environmentWorking with data from multiple systems and structures and at different velocities including near real timeStrong knowledge of data architecture (Snowflake is preferred), SQL development, security, and process optimisationAdvanced SQL development including query development and optimisation, stored procedures, and performance tuningExpert knowledge of end-to-end enterprise BI using ...

within Informatica, IBM product manager and Google Cloud Platform (GCP) ecosystem, leveraging tools such as Big Query, DBT (Data Build Tool), Apache Kafka, and SQL and many more including legacy technologies. We expect a high degree of automation for tests and deployments. We follow LBG's agile practices and governance … experience of these would be greatExperience with cloud platforms such as Google Cloud, Azure or AWS, and their underlying data engineering services.Experience with SQL and data warehouse technology such as BigQuery.Experience with data visualisation tools such as Tableau, Power BI, or Looker.Familiarity with DevOps practices and tools, including CI/ ...

Active SC Clearance . Significant experience in data engineering and data pipeline development. Strong expertise in ETL/ELT design, development and optimisation. Advanced SQL development and query optimisation skills. Strong Python development experience for data processing and automation. Experience designing data models for reporting and analytics. Experience integrating multiple ...

five years) delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands-on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. ...

best practices for model deployment, monitoring, and governance.Agile delivery environments.Strong analytical and problem-solving skills, with attention to detail.Programming: Strong programming skills in Python, SQL, and/or similar languages.AI/ML Frameworks: Proven experience with popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn. Familiarity with Generative … Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop). Experience with ETL, data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data ...

Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Experience with SQL- Experience in the data/BI spacePreferred qualification - Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with ...

Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.Strong SQL and Python (or equivalent language) skills for data manipulation and automation.Hands-on experience with cloud platforms (AWS, Azure, GCP).Knowledge of data modelling methodologies (star ...

process (eligibility criteria apply). We are looking for a versatile Azure Data & ML Support Engineer with strong expertise in Azure cloud services, DevOps, SQL, and data warehousing to support and optimize ongoing operations in a Managed Services environment. This role is responsible for ensuring the stability, performance, and reliability … through proactive monitoring, issue investigation, automation, and continuous improvement.The ideal candidate will also play a key role in supporting data warehouse systems by managing SQL-based data loads orchestrated through Azure Data Factory (ADF), and by writing and optimizing SQL queries to aid in troubleshooting, data validation, and automation tasks.Key ...

data solutions, developing ETL/ELT pipelines, enhancing enterprise reporting, and working closely with stakeholders to deliver robust analytics across the business. Requirements: Strong SQL experience (Essential) Microsoft Fabric experience (Essential) Azure SQL Server Azure Data Factory (ADF) Azure Synapse ETL/ELT pipeline development Python Azure DevOps (CI/ ...

migration and warehousing, including source-to-target mapping and delivery on complex, multi-entity migrations.Hands-on or strong working knowledge of Power BI, Alteryx, SQL, Python or R.Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric and the Azure data stack.Understanding of Microsoft business intelligence platforms, including SQL … Server Databases, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Utilities, Azure Data Resources, Azure Data Factory, Azure Data Lake, Azure Data Bricks and Azure Analysis ServicesExperience deploying or advising on AI in a finance or analytics context, including Copilot and agentic tooling.Exposure to delivery methodologies ...

across internal and external systems Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows. Implement and support distributed, event-driven architectures (e.g., Kafka … engineering or data engineering (financial services or asset management experience preferred). Proven Python experience, including data processing, APIs, or service-based architecture. Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows. Experience with cloud-native development (AWS) and containerized environments. , Experience with ...

while contributing to projects that deliver measurable business value. Key responsibilities •Analyse & interpret business and operational data to support client decision-making •Develop & maintain SQL queries for data extraction, transformation and analysis •Build & enhance Power BI dashboards and reports •Design & support Azure Data Factory pipelines for data integration •Collaborate & engage … working collaboratively with stakeholders to improve reporting and decision-making. Essential qualifications •Experience as a Data Analyst within a business or technology environment •Strong SQL skills for querying, analysing and manipulating data •Experience using Microsoft Azure data technologies •Practical experience with Azure Data Factory •Strong Power BI dashboard and report ...

understand data requirements and deliver optimal solutions.Documentation: Create and maintain technical documentation for data workflows, processes, and systems.SQL : Demonstrated ability to write complex SQL queries for data extraction, manipulation, and transformation. Experience in data integration tasks, including ETL (Extract, Transform, Load) processes, to consolidate data from multiple sources into … Computer Science, Information Technology, Engineering, or a related field.Experience: 3-5 years of experience in data engineering or a related field.Technical Skills:Proficiency in SQL for data manipulation and querying.Experience with Power BI for data visualisation and dashboard creation.Experience of Python for data processing and scripting.Familiarity with AWS services, such ...

sign-offs for production readiness. Required Skills and Experience Mandatory Technical Experience Extensive hands-on experience with Informatica PowerCenter (v10.6 strongly preferred). Strong SQL capabilities with Oracle databases. Proficiency in UNIX shell scripting for test automation and pipeline verification. Direct experience with SAS to Informatica ETL migration within ...

BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. Advanced SQL skills, including optimisation and performance tuning. Experience building modern ETL/ELT pipelines and distributed data processing solutions. Strong understanding of data warehousing, data modelling, and cloud ...

passion for building reliable, scalable data solutions. Essential Skills & Experience Experience working as a Data Engineer or in a similar technical role. Strong SQL and experience with one or more programming languages such as Python, R or Scala. Experience designing and building ETL/ELT pipelines. Knowledge of data modelling ...

designing and implementing Microsoft Fabric 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 objectives with technology ...

analytics solutions in agile environments, with senior-level autonomy on complex builds.Advanced Power BI capability (semantic modelling, DAX, dataflows) and data-visualisation expertise.Strong SQL and data modelling skills, building scalable and performant solutions.Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well-governed datasets ...

solutions in agile environments, with senior-level autonomy on complex builds. Advanced Power BI capability (semantic modelling, DAX, dataflows) and data-visualisation expertise. Strong SQL and data modelling skills, building scalable and performant solutions. Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem). Ability to build trusted ...

working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. ...

articulate results clearly to both technical and non-technical senior stakeholders.Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP.What will set you apart:Orchestration Mastery: Deep experience with data orchestration tooling such ...

articulate results clearly to both technical and non-technical senior stakeholders.Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP.What will set you apart:Orchestration Mastery: Deep experience with data orchestration tooling such ...