18 of 18 SQL Jobs in Luton

and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical More ❯

reporting processes and standards. Troubleshooting and resolving complex data and reporting issues with a proactive mindset. Main Skills Needed 4+ years’ experience as a Data Engineer or similar. Strong SQL skills and hands-on experience with Amazon Redshift (MySQL a plus). Proficiency in AWS Glue and Python scripting for ETL. Solid data modelling and dashboard development experience. Familiarity with More ❯

subject matter expert. Support incident and problem resolution in partnership with Service Delivery teams. Document and implement technical design changes through to production. Optimise data flows and automation using SQL, ABAP, or Python. Main Skills Needed: Strong experience with SAP ECC, S/4HANA, Datasphere, SAC, and BW. Knowledge of SAP Rise platform and SAP BTP domain components. Expertise in More ❯

aesthetics. Collaborative attitude with the ability to build rapport across teams. Eagerness to learn and expand your technical skillset. Experience integrating RESTful APIs and authentication methods. Basic knowledge of SQL and database management. Desirable Skills (Not Essential) Commercial experience developing and maintaining websites for e-commerce platforms (such as Shopify, Magento, WooCommerce, or similar). Experience with headless e-commerce More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

service level objectives. • Create and improve internal foundational software tools. • Maintain and enhance customer-facing services like authentication and integration. • Write performant code that interacts with Postgres, leveraging strong SQL and database skills. • Provide architectural guidance and practical support to development teams, especially around interfaces, security, and performance. • Seek innovative technical solutions to key business challenges. • Stay current with industry More ❯

service level objectives. • Create and improve internal foundational software tools. • Maintain and enhance customer-facing services like authentication and integration. • Write performant code that interacts with Postgres, leveraging strong SQL and database skills. • Provide architectural guidance and practical support to development teams, especially around interfaces, security, and performance. • Seek innovative technical solutions to key business challenges. • Stay current with industry More ❯

starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords:Coding, programming, web developer, software developer, app developer, Trainee, PHP, HTML, SQL, CSS3, Java, Javascript, Python, C#, Trainee Web Developer More ❯

error handling Lead and mentor a BI team, ensuring timely delivery of dashboards and data products Champion data governance, quality, and security across platforms Requirements: Proven expertise in Azure, SQL, Databricks, and Azure Data Factory Experience implementing medallion architecture frameworks Strong leadership and stakeholder engagement skills Hands-on Power BI and DAX experience More ❯

and Abilities Required: Essential: Strong hands-on experience with Talend Studio and Talend Cloud pipelines . Proficiency in Talend components such as tMap, tJoin, tFileInput , etc. Solid experience in SQL , ETL/ELT design, and cloud data platforms. Strong understanding of Change Data Capture (CDC) concepts and data modeling. Experience integrating with Git and Talend CI tools. Excellent stakeholder management More ❯

IFS configuration tools, workflows, and Lobby design. Ability to collaborate effectively with cross-functional teams and non-technical stakeholders. Strong analytical, documentation, and problem-solving skills. Proficiency in Excel, SQL (basic), and reporting tools such as IFS Reporting or Crystal Reports. Desirable Qualifications IFS Academy certification in Finance or IFS Cloud. Professional finance certification (ACCA, ACA, or CIMA). Experience More ❯

IFS configuration tools, workflows, and Lobby design. Ability to collaborate effectively with cross-functional teams and non-technical stakeholders. Strong analytical, documentation, and problem-solving skills. Proficiency in Excel, SQL (basic), and reporting tools such as IFS Reporting or Crystal Reports. Desirable Qualifications IFS Academy certification in Finance or IFS Cloud. Professional finance certification (ACCA, ACA, or CIMA). Experience More ❯

impact. Main Skills Needed: Experience in AWS environments. Strong knowledge of telephony and call centre technologies, ideally Amazon Connect. Hands-on experience with ServiceNow CSM and OpenText. DBA-level SQL skills across SQLServer, Postgres and MySQL. Familiarity with GDPR and data protection in relation to personal data. ITIL v3 background in incident and problem management. Technical grounding in software development More ❯

scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. … and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of More ❯

scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. … and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of More ❯

experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or Azure. • Experience with Linux and containerisation (e.g Docker, shell scripting). • Understanding Data More ❯

experience with modern software development and release engineering practices (e.g. TDD, CI/CD). Experience with Apache Spark or any other distributed data programming frameworks. Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. Experience with cloud infrastructure like AWS or Azure. Experience with Linux and containerisation (e.g Docker, shell scripting). Understanding Data More ❯