351 to 375 of 7,400 SQL Jobs in the UK

Data Migration and Data Integration projects. Strong experience working with large and complex datasets. Experience working across both AWS and Microsoft Azure environments. Databases & SQL Strong hands-on experience with: PostgreSQL MySQL Microsoft SQL Server Oracle Amazon Redshift Amazon Athena Excellent SQL development, optimisation, and troubleshooting skills. AWS Technologies Strong … Step Functions Amazon QuickSight Microsoft Azure Technologies Strong practical experience with: Microsoft Fabric Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Data Engineering Strong knowledge of: ETL and ELT design patterns Data Integration architectures Data Warehousing Data Lake and Lakehouse architectures Data Modelling Data Profiling Data ...

data processes to solve and improve business outcomes. Essential A degree in computer science or a related technical discipline. Minimum 1.5 years experience with SQL, data warehousing in a RDBMS (e.g. SQL Server, MySQL). Good understanding of Data Modelling concepts and techniques. Experience building and scheduling ETL workflows. Experience … with a cloud database management system like Snowflake. Good experience writing high quality, maintainable SQL on large datasets. Experience with cloud-based architecture (e.g. AWS, Azure). Experience using Git and version control tools (e.g. Github, Sourcetree, Bitbucket) Experience in working in an agile methodology. Positive team player ...

versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write and optimise complex SQL for analytics, reporting, modelling and downstream BI use Build and maintain integrations with internal services and partner systems to enable clean, scalable access to data … practical, scalable data solutions What We’re Looking For Strong data engineering fundamentals: pipeline design, orchestration, testing and monitoring Production-quality Python and advanced SQL skills Experience running machine learning systems in production , including model serving and monitoring Comfort working across cloud infrastructure (ideally AWS ) and an understanding of platform ...

Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data engineering frameworks Apply infrastructure-as-code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring … data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the right services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ELT pipelines and data processing workflows Good understanding of data modelling, data lakes, data warehouses and modern data ...

Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented … lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building ...

Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented … lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building ...

Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented … lakehouse technologies (e.g., Redshift, BigQuery, Snowflake and engines such as Spark, Flink, or Trino and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building ...

Analysis Guide and support data consumers in leveraging data products for analytics and planning Utilize AI‐assisted coding tools to accelerate development and optimize SQL Identify opportunities to embed AI into Planning & Analysis workflows Work with diverse data sets to support various Planning & Analysis processes Collaborate with senior team members … Strong analytical and problem‐solving skills with attention to detail Hands‐on experience building and prototyping data models to address user needs Proficient in SQL and Python for data analysis, engineering, and transformation Relevant experience developing, testing, and refining data models using dimensional and relational approaches Curious mindset with ...

observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure … lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience designing and operating orchestration pipelines using Airflow or similar toolsExperience designing and building streaming ...

proven track record of leading data projects in a fast-paced environment. Key ResponsibilitiesDesign, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems … Master's degree in Computer Science, Engineering, or a related field.3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. Demonstrated experience with Infrastructure ...

optimise scalable data pipelines using Databricks, Delta Live Tables, Synapse, and Delta Lake. Develop ingestion, transformation, and orchestration workflows across diverse sources (APIs, SQL, SFTP, SaaS platforms). Implement strong data quality, lineage, and governance standards aligned to Clarion’s Medallion Architecture (Bronze/Silver/Gold). Build … monitoring, logging, and observability across pipelines and clusters. Contribute to standards for versioning, DevOps, CI/CD, and testing for Databricks notebooks, workflows, and SQL assets. Support the rollout of Delta Sharing, Unity Catalog governance, and Iceberg/Delta interoperability where required. Partner with analysts and data scientists to ensure ...

optimise scalable data pipelines using Databricks, Delta Live Tables, Synapse, and Delta Lake. Develop ingestion, transformation, and orchestration workflows across diverse sources (APIs, SQL, SFTP, SaaS platforms). Implement strong data quality, lineage, and governance standards aligned to Clarion’s Medallion Architecture (Bronze/Silver/Gold). Build … monitoring, logging, and observability across pipelines and clusters. Contribute to standards for versioning, DevOps, CI/CD, and testing for Databricks notebooks, workflows, and SQL assets. Support the rollout of Delta Sharing, Unity Catalog governance, and Iceberg/Delta interoperability where required. Partner with analysts and data scientists to ensure ...

proven track record of leading data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems … degree in Computer Science, Engineering, or a related field. 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. Solid understanding of CI/ ...

Essential In depth experience of data engineering across the development, testing and deployment stages. Experience of developing and maintaining data warehouse solutions using MS SQL toolset. Experience in setting up large-scale processing systems or data infrastructure on a cloud platform. Experience of linking and transforming numerous large and complex … environment coordination, with hand-on involvement in CI/CD pipelines and Agile/Scrum development methodologies. Knowledge of data warehousing using MS SQL Server Tools. Experience with MS Azure technologies such as Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, Azure Data Lake Storage etc. Knowledge of data modelling ...

with Customer Insights teams to combine quantitative data and customer research into actionable recommendations. Data Management and Reporting - Extract, clean and analyse data using SQL, Python and Excel to support reporting, dashboards and insight packs. Track key customer and business metrics such as NPS, engagement, retention, adoption and usage, while … better ways to use data to understand customers and business performance. Shows a willingness to learn new tools, techniques and technologies, including Python, SQL, Power BI, automation, data science and AI-enabled analytics. Uses evidence objectively, explaining what the data does and does not show, and avoids jumping to conclusions ...

maintaining cutting-edge data solutions within Microsoft Fabric. You'll build and optimise data pipelines, lakehouses and data warehouses, using PySpark, Python, T-SQL and DAX to deliver scalable, high-performing solutions that drive business intelligence and analytics. Working closely with stakeholders across the business, you'll develop robust, secure ...

maintaining cutting-edge data solutions within Microsoft Fabric. You'll build and optimise data pipelines, lakehouses and data warehouses, using PySpark, Python, T-SQL and DAX to deliver scalable, high-performing solutions that drive business intelligence and analytics. Working closely with stakeholders across the business, you'll develop robust, secure ...

challenging business targets, in two or more of the following technical disciplines: -API development using Microsoft .NET 8 (C#, ASP.NET, MVC, WCF, etc.) - MS SQL and database design experience including writing SQL scripts. Excellent understanding of Service Oriented Architecture design that integrate correctly Excellent knowledge of documentation, testing and release ...

sometimes ambiguous questions into well-defined analytical problems. Develop and implement data-driven solutions to solve real-world business problems across the company. Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods … Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit ...

collaborate effectively in multi-functional teams. A strategic approach to problem-solving and technical decision-making. Core Areas (must have): Strong Python and SQL skills Experience with ETL flows, data pipelines, and orchestration tools Understanding of database architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience ...

sometimes ambiguous questions into well-defined analytical problems. Develop and implement data-driven solutions to solve real-world business problems across the company. Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods … Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit ...

Boot framework. Expert-level proficiency in Python. Strong understanding of RESTful API design, microservices architecture, distributed systems, and service decomposition patterns. Strong proficiency in SQL and relational database design, with hands-on experience in Microsoft SQL Server or equivalent enterprise RDBMS. Familiarity with financial data modelling concepts — particularly loan portfolios ...

People XD, Microsoft Dynamics, Workday, SAP SuccessFactors, Oracle HCM, or similar). Knowledge of workforce metrics and HR analytics methodologies. Experience with data automation, SQL, or data modelling tools. Understanding of workforce planning and people analytics techniques. #J-18808-Ljbffr ...

modernisation of the organisation's data platform. Skills & Experience Proven experience as a Data Engineer. Strong hands-on experience with Microsoft Fabric . Strong SQL, data modelling, and ETL/ELT development experience. Experience working within CI/CD and DevOps environments. Knowledge of Medallion Architecture (Bronze, Silver, Gold). ...

adoption of modern engineering practices and emerging technologies Requirements experience in Data Engineering or a related field Strong programming skills in Python and SQL Experience building scalable data-intensive systems and pipelines Understanding of modern software engineering best practices Excellent communication and collaboration skills Strong analytical and problem-solving capabilities ...