13 of 13 Permanent SQL Jobs in Belfast

data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or 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 ❯

Go, or similar tools. Strong understanding of microservices architecture and CI/CD pipelines. Proven expertise in relational databases and familiarity with distributed systems or data-intensive platforms including SQL query expertise. Familiarity with software development best practices like testing, version control, and agile processes. A problem-solving mindset, with the ability to think critically through challenging engineering scenarios. An More ❯

Qualifications Experience: Minimum of 6 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 ❯

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 ❯

environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph analysis. Benefits Our 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 ❯

. Strong communication and stakeholder management skills. Development experience, ideally with authentication, authorization, SDKs, and APIs. Basic networking knowledge and a sound understanding of common cybersecurity vulnerabilities (e.g., SQL injection vs. OS injection, authentication vs. authorization, TLS vs. SSL, stack vs. buffer overflow). Desirable: Exposure to software release pipelines (CI/CD, version control, GitOps, software signing). Professional More ❯

which are normally IT driven. We provide you with access to the following courses to ensure you are 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 ❯

language agnostic design experience Test driven development mindset and strong discipline of writing extensive tests for every production code ship Experience with Cassandra or Cosmos DB or other NO SQL databases Experience with multi-tenant architectures in the SaaS space Fluent in several of the following languages/platforms/libraries: Java and .NET Strong understanding of API’s and … as Scrum and Extreme Programming Git, Jira, Confluence experience Experience is queue based systems like RabbitMQ, MSMQ, Kafka, Event Hub is preferred. Knowledge of Relation databases like Oracle/SQL server. Experience in .Net Core, Azure is preferred. More ❯

data analyst and play a pivotal role in transforming raw data into strategic business assets! In this job you will work with Q/KDB+, Python, Tableau and advanced SQL in a fast-paced, data-rich environment. Why This Role? High-impact projects: Support regulatory remediation, uncover revenue opportunities, and deliver analytics that shape business strategy. Cutting-edge tech: Work … with Q/KDB+, Python, Tableau, and advanced SQL in a fast-paced, data-rich environment. Hybrid flexibility: Enjoy a mix of on-site collaboration and remote work. Competitive day rate: Attractive compensation for top-tier talent. What You'll Do Develop and maintain Q/KDB+ queries and scripts for data analysis and reporting. Build and support Python-based … tools for data manipulation and automation. Design and manage interactive Tableau dashboards for business insights. Write and optimise complex SQL queries (preferably with Impala) against large-scale data warehouses. Collaborate with business stakeholders to deliver effective BI solutions. Ensure data quality, integrity, and availability in partnership with technology teams. What You'll Bring Financial domain expertise: Deep understanding of equities More ❯