1 to 25 of 35 SQL Jobs in Northern Ireland

A skilled SQL Migrations Developer is required to join a small but growing team. Initially, the successful candidate will be working on a large project to migrate a global client base numbering in the hundreds from multiple legacy applications into a single global Azure SaaS product. The developer will be expected to use their technical experience in designing a migration … innovation and continuous improvement to the team. Educational Requirements: Minimum 2.1 degrees in IT or an equivalent technical subject. Experience Required: Required - Minimum 5 years experience working in a SQL Developer role or similar title Required - Minimum 5 years working on ETL Data Migrations Required - Minimum 3 years working in Azure SQL environments in a SQL Development capacity Highly Desirable … Experience of Insolvency or Financial Services sectors. Technical Competencies Required: Advanced T-SQL MS SQL Server ETL and Migration Development SSIS Azure Data Factory Databricks Microsoft Fabric Advanced Microsoft Excel Highly Desirable: Azure Devops GIT Source control Jira Confluence mySQL Desirable: SSRS & Power BI SSAS SQL Utilities such as Redgate Other development experience includes C#, VB .NET, PHP, web applications More ❯

hybrid). Skilled in data visualisation and storytelling — able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C-suite clients. Advantageous competencies (but not essential): Exposure to AI More ❯

analytical role. Security industry experience (required) — e.g., SOC analytics, SIEM data, threat intel, log analysis, or cybersecurity product data. Strong Python skills for data processing, automation, and analysis. Expert SQL skills with experience across major relational databases (PostgreSQL, MySQL, Redshift, etc.). Strong understanding of KPIs, metrics, statistical analysis, and data visualization. Ability to communicate complex technical insights to both More ❯

build on continued success on a global scale. Key responsibilities Designing, building, deploying and/or managing AI solutions using industry leading approaches across technologies such as Python, Git, SQL and other relevant technologies Engaging with clients at all levels across the organisation both business & technology functions Nurturing long term trusted advisor relationships Training and managing junior staff and client More ❯

you must have Experience: 3 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications. Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Programming: Solid experience in Python and SQL. Experience with R is a nice-to-have. ML and AI: Practical experience using More ❯

less experienced engineers What you'll need: At least 6 years of experience as a Backend Software Engineer Experience designing and implementing REST APIs (Fast API) Experience working with SQL databases Practical knowledge of Linux (CLI, bash) Experience mentoring and leading engineering team Practical knowledge of modern web application deployment infrastructures Fluency in English, written and verbal Strong knowledge of More ❯

production Using AI-assisted tools to boost productivity and innovation Participating in code reviews and mentoring other engineers Tech environment: Java, Spring Boot, React, Python, Kubernetes, Terraform, Jenkins, AWS, SQL About you: experience in software development (SaaS or cloud environments) Strong skills in Java and modern JavaScript frameworks (React/TypeScript) Experience with cloud infrastructure and containerisation Comfortable working across More ❯

field. Experience: 5+ years in IT operations, systems administration, or integration support. Strong knowledge of on-premise and cloud systems, ERP/WMS/TMS/CRM platforms, and SQL/reporting tools. Familiarity with integration tools, APIs, and automation platforms (Power Platform, Power Automate). Certifications in iPaaS, data platforms, or ITIL are desirable. Personal Attributes Collaborative and approachable More ❯

Statistics/Mathematics or a related field) and two years' experience including all listed below OR Option B: Relevant professional certifications in Microsoft Power BI, Microsoft Fabric, data analytics, SQL or related areas and two years' experience including all listed below. OR Option C: A minimum of four years' experience including all listed below. Experience must include: Delivering Corporate or More ❯

working with data analytics on large datasets, ideally within financial Markets. Proven ability analysing business needs, building visualisations, and tracking down complex data quality and integration issues. Very strong SQL and Tableau skills required. Python or other programming a plus. Strong analytical and mathematical skills. Methodical attention to detail. Demonstrable team skills both within and across teams. Ability to pick More ❯

balancing in cloud environments Security tooling experience - vulnerability scanning, SAST/DAST, compliance automation Experience with cost optimization and FinOps practices in cloud environments Knowledge of database administration – MS SQL, PostgreSQL, Redis, or similar Understanding of AI/ML infrastructure requirements Experience in B2B SaaS Disaster recovery and business continuity planning experience Experience with log aggregation tools like ELK stack 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 ❯

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 ❯

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 ❯

with data analytics on large datasets, ideally within financial Markets Proven ability analysing business needs, building visualisations, and tracking down complex data quality and integration issues Skills: Very strong SQL and Tableau skills required. Python or other programming a plus Strong analytical and mathematical skills Attention to detail Demonstrable team skills both within and across teams Ability to pick up More ❯

Power BI, Power Platform . Excellent communication skills across technical and non-technical teams. Desirable: Experience with EDI, WMS, barcode/scanning tools, shop-floor data capture . Basic SQL/API knowledge. Previous ERP implementation or upgrade exposure. Microsoft BC certification (Functional Consultant or Developer). Why Apply? Opportunity to own and shape the Business Central function. Industry-leading 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 ❯

world applications. A completed degree (bachelors, masters, or PhD). Excellent leadership and organisational skills, with a track record of developing and leading high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. A strong foundation in statistics, mathematics, and programming is essential for success in More ❯

for the role; Experience: 3 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications. Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. Foundational Knowledge: A strong foundation in statistics, mathematics, and programming is essential for More ❯

a collaborative engineering environment focused on clean architecture, modern .NET development, and continuous delivery. Key Skills: Strong backend experience with C# .NET Solid understanding of RESTful API design and SQL Experience with Azure services and CI/CD pipelines Familiarity with OAuth, JWT, and API security principles Nice to Have: Knowledge of event-driven architectures, API gateways, or Azure API More ❯

a mission-driven or multi-stakeholder environment. Proven experience managing large-scale IT/data system design and implementation projects. Strong working knowledge of key analytics tools such as SQL, Power BI, Tableau. Experience developing, managing, and reporting on performance measures or impact data. More ❯

maintain scalable Java 17 applications for enterprise data processing. Build and optimise batch processing solutions using Spring Batch. Design and implement integration flows with Spring Integration. Develop and tune SQL queries and stored procedures for relational databases. Work with GridGain Database to deliver distributed, high-performance data processing. Support data migration and workflow optimisation from MongoDB to GridGain. Automate deployment More ❯

essential: · Service monitoring and graphing tools (Prometheus + Grafana, Nagios, Datadog) Elastic stack Repository solutions (Jfrog Artifactory, Jfrog Bintray) OpenVPN Apache Tomcat Messaging streams & communication platforms (RabbitMQ, Postfix, Mandrill) SQL Databases (MongoDB, PostgreSQL, or MySQL) Microservice Architecture Apache Kafka Our Values: We work together We believe in people We won’t accept the ‘way it has always been done’ We More ❯