26 to 50 of 1,567 SQL Jobs in the UK excluding London

Experience Required: Proven experience using Talend Data Integration in a data engineering role. Strong knowledge of AWS services (S3, Glue, Redshift, Spectrum). Solid SQL skills and experience in data warehousing and ETL best practices. Experience working with REST/SOAP APIs for data ingestion. Understanding of data governance principles. ...

Power BI, Power Apps, Power Automate) Strong stakeholder management and communication skills Experience working in Agile, cross-functional teams Desirable Experience with Microsoft Fabric SQL, Python or R for advanced analytics CI/CD pipelines and version control (e.g. Git) Microsoft certifications (PL-300, PL-400, DP-600) Why Join ...

back-end (e.g., .NET Core, Node.js) frameworks. Cloud and DevOps tools (Docker, Kubernetes, GitHub Actions, Jenkins). Strong understanding of architecture, design patterns, SQL/NoSQL, and security best practices. Apply now and take the next step in your technical leadership career ...

ongoing data quality, governance and process improvement initiatives Skills & Experience Required Strong experience with Power BI (DAX, data modelling and dashboard development) Confident using SQL for data extraction and manipulation Experience working with API-driven data sources Ability to present insights clearly to non-technical stakeholders Understanding of data architecture ...

processes. Provide ad-hoc support for data engineering tasks to ensure reliability and availability of critical datasets. Key Requirements: Strong experience in Power BI, SQL, and Python is essential. Experience with Azure and Microsoft Fabric. Knowledge of BI engineering concepts, including data modelling, ETL, pipelines, and backend data management. Experience ...

making. Leading delivery workstreams, supporting resource planning and mentoring junior team members. To be successful in this role, you will have: Solid proficiency in SQL and Python Working knowledge of Azure Synapse, Data Factory, Databricks or Fabric. Understanding of data lake and medallions architectures Experience with Power ...

financial services, banking, insurance, pensions or fintech. Strong analytical and problem-solving skills, with the ability to interpret and manipulate large datasets. Proficiency in SQL is essential; experience with Python or R is advantageous. Experience with data visualisation tools (Power BI, Tableau, Qlik or similar). Strong understanding of data ...

industry. About our Graduate Data Engineer: The ideal candidate will have good knowledge and experience in RDBMS and data modelling with Python, Oracle, SQL or Azure. You have experience designing and building scalable data pipelines, working with distributed Big Data systems, and delivering cloud-based solutions. You are familiar with ...

industry. About our Graduate Data Engineer: The ideal candidate will have good knowledge and experience in RDBMS and data modelling with Python, Oracle, SQL or Azure. You have experience designing and building scalable data pipelines, working with distributed Big Data systems, and delivering cloud-based solutions. You are familiar with ...

looking for someone who is seeking a long-term career in our inclusive team. What you'll bring: Technical Excellence: Advanced Python and SQL skills, with hands-on experience in relational and dimensional data modelling. Modern Data Engineering: Proven ability to design and deliver scalable solutions using Microsoft Fabric (strongly ...

architecture familiarity). ● Strong experience with JavaScript, TypeScript and React (front-end development, with an interest in UX/UI principles). ● Expertise in SQL and designing/optimising relational database schemas. ● We seek deep understanding of fundamental technical skills, including clean code principles and complex system design. Culture, Compensation … concepts is highly valuable: ● Backend: Java, Spring, Hibernate, multi-threading/concurrency, Quarkus/Micronaut. ● Frontend: JavaScript, TypeScript, React, D3.js, SVG, CSS. ● Database: SQL (SQL Server, MySQL, Oracle), Data Modelling. ● Infrastructure: Cloud Platforms (Azure, AWS), Git. ● Advanced Topics: AI/LLM (Large Language Models), Small Language Models, Fine Tuning, Security ...

years experience in data engineering. Strong hands-on experience with: AWS S3, Athena, Glue, Redshift, EMR/Spark Apache Iceberg Python/SQL Experience in telecom data pipelines and handling large-scale structured/semi-structured data. Strong problem-solving, optimization, and debugging skills. Good to Have Skills Knowledge ...

years' experience in data engineering. Strong hands-on experience with: AWS S3, Athena, Glue, Redshift, EMR/Spark Apache Iceberg Python/SQL Experience in telecom data pipelines and handling large-scale structured/semi-structured data. Strong problem-solving, optimization, and debugging skills. Good to Have Skills Knowledge ...

quality data solutions. Key Responsibilities: Develop, optimise, and maintain ETL/ELT pipelines within Databricks Build reliable data ingestion frameworks using PySpark and Spark SQL Design well-structured data models across medallion/lakehouse architecture Work with DevOps teams to automate deployments using CI/CD Collaborate with stakeholders ...

Data Engineering, Data Science and Real‐Time Analytics) and Azure ML, including MLflow. Strong proficiency with Apache Spark, Azure Data Factory, Git, Python and SQL Experience developing, training and deploying machine learning models using TensorFlow, PyTorch or Scikit‐learn. Solid understanding of data modelling, data governance, security and responsible ...

capture requirements and deliver tailored solutions. Provide technical guidance on best practices for data architecture and governance. Role Requirements Strong proficiency in Python and SQL (or similar languages) Experience with data engineering tools and frameworks Familiarity with API integration and data retrieval methods Understanding of pipeline scheduling, orchestration, and monitoring ...

data standards (e.g., SNOMED CT, HL7, FHIR), clinical workflows, and interoperability requirements. Proficiency with ETL tools, data integration platforms, and database technologies (SQL, NoSQL, cloud-based solutions). Experience designing and implementing data warehouses, data lakes, and reporting solutions. Knowledge of data governance, information security, and GDPR compliance. Excellent stakeholder ...

data management principles including modelling, integration, governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data ...

data management principles including modelling, integration, governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data ...

data management principles including modelling, integration, governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data ...

data management principles including modelling, integration, governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data ...

data management principles including modelling, integration, governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data ...

data management principles including modelling, integration, governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data ...

data management principles including modelling, integration, governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data ...

requirements into intuitive reporting solutions. Strong knowledge of Management Studio/ESM automation. Demonstrated experience in process improvement and workflow optimisation. Basic programming knowledge (SQL, Python, or similar) to support workflow creation, automation, and improvements across the programme. Strong analytical, problem-solving, and communication skills and background with Financial Services ...