101 to 125 of 6,996 Permanent SQL Jobs

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. ...

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 ...

fiveyears) 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. Experience ...

Azure and Databricks ecosystem. What you'll need: Strong experience building data pipelines using Azure Data Factory, Databricks and Azure Data Lake. Advanced SQL and Python (PySpark) skills for data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing ...

Azure and Databricks ecosystem. What you'll need: Strong experience building data pipelines using Azure Data Factory, Databricks and Azure Data Lake. Advanced SQL and Python (PySpark) skills for data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing ...

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 ...

stakeholder data sharing, including contracts, data minimisation, and consent where applicable. Skills, Knowledge and Expertise Technical Expertise: MS Fabric, Power BI, data modelling, SQL, Python, ETL tools, cloud platforms (Azure/AWS/GCP), and working knowledge of AI productivity tools including Microsoft Copilot and Claude. Data Governance & Quality: Strong ...

data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks ...

small data team. Strong experience with the AWS data stack: S3, Lambda, RDS, DMS, EventBridge, SQS, Step Functions, CloudWatch Proficient in Python and SQL (Go would be advantageous) Experience with data orchestration and workflow management (e.g. Airflow or AWS- native solutions). Good understanding of data modelling and data warehousing ...

data models and ETL processes across multiple data sources.* Advanced Power BI skills with expert knowledge of DAX and Power Query (M).* Excellent SQL skills and experience working with large, complex datasets.* Advanced Excel capabilities, including Power Pivot and analytical modelling.* Experience creating dashboards, reports and analytics that support ...

significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This … influence platform architecture, data governance and reporting capabilities across a complex investment environment. What You'll Do Lead the assessment and modernisation of legacy SQL Server, ETL and reporting workloads into a Databricks-based architecture. Design scalable data models, Delta Lake structures and transformation pipelines supporting real estate investment data. ...

experience as a Senior Data Engineer in enterprise data environments. Technical stack: Microsoft Azure data platforms, including Azure Synapse or equivalent data platform, Azure SQL Server, Azure Data Factory, Azure DevOps This is a new opportunity to join a thriving team to be a key voice in modernizing core data … ingestion and staging layer, including: Synapse Link integrations. Synapse data pipelines for orchestration and movement. Support the Enterprise Data Warehouse (EDW) built on Azure SQL Server, including: Transformations using stored procedures, views, and DBT. Clear separation of bronze, silver, and gold layers aligned to a medallion architecture. Collaborate with ...

experience designing scalable Azure data solutions, defining data architecture and making technical design decisions across Azure Data Factory, Azure Databricks, Azure Data Lake, Azure SQL and Azure Synapse. You'll combine deep Azure Data Platform knowledge with leadership, stakeholder management and project delivery experience, helping shape the organisation's data … architecture and solution design, including data ingestion, integration, transformation, storage and consumption. You'll drive enhancements across Azure Data Factory, Databricks, Data Lake, Azure SQL and Synapse while ensuring solutions are scalable, secure, supportable and cost-effective. You'll also oversee platform performance, monitoring and incident management, lead migrations ...

experience as a Senior Data Engineer in enterprise data environments. Technical stack: Microsoft Azure data platforms, including Azure Synapse or equivalent data platform, Azure SQL Server, Azure Data Factory, Azure DevOps, Fabric This is a new opportunity to join a thriving team to be a key voice in modernizing core … ingestion and staging layer, including: Synapse Link integrations. Synapse data pipelines for orchestration and movement. Support the Enterprise Data Warehouse (EDW) built on Azure SQL Server, including: Transformations using stored procedures, views, and DBT. Clear separation of bronze, silver, and gold layers aligned to a medallion architecture. Collaborate with ...

Lake Formation - Medallion Architecture based ETL processes using S3, Iceberg and Athena - Azure DevOps/AWS CodeCommit/AWS CodePipeline - AWS Step functions - Athena SQL ; Spark SQL ; Python - AWS CLI - Release management (CI/CD) - Knowledge and Experience - desirable - AWS Databrew - AWS RDS/Redshift - AWS Macie - AWS CloudWatch ...

significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This … influence platform architecture, data governance and reporting capabilities across a complex investment environment. What You'll Do Lead the assessment and modernisation of legacy SQL Server, ETL and reporting workloads into a Databricks-based architecture. Design scalable data models, Delta Lake structures and transformation pipelines supporting real estate investment data. ...

Build and optimize data architectures, including data warehouses and data lakes Develop and maintain robust data models to support analytics and reporting Write efficient SQL queries and manage large datasets Ensure data quality, integrity, and security across systems Monitor and troubleshoot data pipeline performance issues Collaborate with data analysts, data … time and batch data processing solutions Qualifications Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field Strong proficiency in SQL and database technologies Experience with programming languages such as Python, Java, or Scala Hands-on experience with data pipeline tools (e.g., Apache Airflow, Kafka) Familiarity ...

complex analysis accessible and impactful across the business Responsibilities: Partnering with stakeholders to define problems and translate them into analytical approaches Analysing data (e.g. SQL, Excel, BI tools) to identify key drivers of performance Delivering clear, actionable recommendations to non-technical audiences Supporting improvements in processes through automation, standardisation … Clear communication and stakeholder management skills High attention to detail and a proactive mindset Experience in analytics, finance, consulting or similar roles Knowledge of SQL, Python, R, or BI tools (Tableau, Power BI, etc.) Experience working with complex datasets or building dashboards Exposure to automation or AI-driven analysis ...

build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … Experience: Experience in operating as part of data engineering teams and independently. 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 ...

streaming data pipelines using modern data engineering patterns Develop robust orchestration workflows for dependable data ingestion, transformation, quality checks, and downstream consumption Apply strong SQL, Python, and PySpark skills to transform complex data into reliable, reusable, and performant data products SQL, Data Modelling & Analytics Enablement Create well-modelled, trusted datasets …/ML solutions Our Ideal Candidate Strong data engineering experience with hands‐on delivery of scalable data pipelines, data products, and analytics foundations Advanced SQL skills with the ability to design performant queries, data models, and transformation logic Hands‐on knowledge of Python and PySpark for large‐scale data processing ...

provide the best business solution Develop Power Automate workflows to streamline business processes Develop and maintain Dataverse data models and business logic Write efficient SQL queries, stored procedures, and database solutions Participate in code reviews, testing and debugging Contribute to application architecture and technical design Support software deployments through Azure … modernise legacy applications Reporting & Data Create reusable datasets and semantic models Design reports that support operational and strategic decision making Build data integrations between SQL Server, Dataverse and business systems Assist with Microsoft Fabric initiatives where appropriate Promote good data governance and quality Stakeholder Engagement Work closely with internal stakeholders ...

architecture and code reviews. Support testing and validation activities within data related projects and initiatives. Qualifications & Experience Proven experience in the market as a SQL and PLSQL developer. Extensive experience with any SQL cloud databases like Snowflake/Redshift/BigQuery/Azure SQL database. Experience with any on-premise … SQL database like MS SQL Server, Teradata etc. Clear understanding of one ETL tool (For eg: Matillion, SNP Glue, Fivetran, Informatica). Azure DevOps experience is a plus. Clear understanding of data modeling, data curation, and orchestration Experience with Business Intelligence tools like PowerBI is a plus. Sound understanding ...

such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. … such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. ...

such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. … such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. ...

Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence and reusability … controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native Azure services and best-practice engineering approaches Providing technical leadership, mentorship and guidance to Data Engineers while championing ...