176 to 200 of 4,547 SQL Jobs

preferably within secure government programmes. Strong understanding of RBAC and ABAC principles and their application in high-security environments. Active SC/DV Clearence is essential. Technical Skills: Strong SQL skills and ability to work with large, complex datasets from multiple systems. Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker). Familiarity with scripting languages like JavaScript More ❯

recommending improvements to architecture practices. Technical Skills & Experience Must-have: Extensive experience designing and implementing enterprise-scale data architectures Proficiency in data integration and ETL processes. Advanced skills in SQL, Python, or equivalent programming languages. Strong knowledge of data governance, data security, and compliance frameworks. Expertise in Master & Reference Data Management and Data Quality best practices. Cloud-based architecture experience More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well More ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well More ❯

support informed decision-making. Who we’re looking for: Proven experience in data analysis, ideally in operations, retail, or financial services. Expertise in Excel (including formulas, pivot tables, macros), SQL, Power BI, and Python. Strong technical skills in data analysis, modelling, and dashboard creation. Experience with IT applications, platforms, and data warehouses. Excellent analytical, problem-solving, and communication skills. Ability More ❯

control (Git), and DevOps practices. Solid understanding of data governance , privacy , and security best practices.Hands-on experience in data architecture , data engineering , or a similar role.Proficiency in data modelling , SQL , data warehousing , and ETL frameworks . Databricks certifications (e.g., Data Engineer Associate/Professional). Experience working in regulated industries (e.g., financial services, healthcare). Exposure to BI tools (e.g. More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong More ❯

Apps, Power BI, Dataverse) Solid understanding of REST APIs, JSON, and system integration patterns Experience with Microsoft 365 ecosystem and Azure services Knowledge of data modeling, database concepts, and SQL Understanding of security frameworks and compliance requirements Communication & Collaboration Skills Exceptional verbal and written communication skills with ability to explain complex technical concepts clearly Proven stakeholder management experience working with More ❯

design, application development, testing, and operational stability Advanced-level implementation skills with Java and J2EE; Core Spring Framework and Spring boot Strong knowledge in one of Cassandra, Oracle, MS SQL and RDBMS database concepts Experience with distributed computing environments, cloud computing platforms (Amazon Web Services/AWS, Google Cloud, Microsoft Azure) and Kubernetes Strong programming skills in one of scripting More ❯

preferred). Experience with microservices architecture, service-oriented architecture (SOA), and event-driven design. Knowledge of frameworks like Spring Boot, Angular, React, or similar technologies. Strong experience with relational (SQL) and non-relational (NoSQL) databases. Hands-on experience with CI/CD tools (Jenkins, GitHub Actions) and DevOps principles. Expertise in API design, development, and integration (REST, SOAP, GraphQL). More ❯

Science, Information Systems, or a related field. Experience: 3-5 years of experience as a Business Analyst, Data Analyst, or a hybrid role combining both. Technical Skills: Proficiency with SQL, Excel (advanced), Python, or R for data analysis. Experience with Power BI, Tableau, or similar data visualization tools. Knowledge of ETL processes and familiarity with data warehousing concepts. Strong understanding More ❯

collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation More ❯

to have: 4+ Years of Experience in QlikSense API development such as QRS, Qlik Sense Repository Service API and Qlik Sense Proxy Service API 4+ Years of Experience in SQL capabilities and dimensional modeling Ability to write code in python/javascript to contribute to the build & tool integration processes Strong data reporting and visualization experience with the ability to More ❯

with the rest of the team. In addition, the successful candidate should have: Excellent writing and communication skills with an attention to detail Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Experience designing data warehouse technical architectures and infrastructure components Programming experience in More ❯

with the rest of the team. In addition, the successful candidate should have: Excellent writing and communication skills with an attention to detail Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Experience designing data warehouse technical architectures and infrastructure components Programming experience in More ❯

compute, data processing, analytics, and serverless platforms (e.g., AWS S3/Redshift/Glue/Lambda, GCP BigQuery/Cloud Storage/Dataflow/Cloud Functions) Strong proficiency in SQL, Python, and data modeling for analytical and operational use cases Hands-on experience with production-grade ETL/ELT frameworks and workflow orchestration (e.g., Airflow, dbt, Talend, AWS Glue, GCP More ❯

and techniques (e.g., spatial queries, coordinate systems, projections). Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or More ❯

monitoring tools (ELK, Prometheus, Grafana, Jaeger). Drive incident response and root cause analysis workflows to foster a culture of continuous improvement. Data Strategy & Governance Determine data storage solutions (SQL, NoSQL) and data partitioning/sharding strategies aligned with service boundaries. Ensure compliance with data governance and regulatory requirements (GDPR, HIPAA, etc.) as needed. Technical Leadership & Mentoring Mentor mid-level More ❯

front-end, back-end, cloud automation, and orchestration, with depth in one or both of front-end and back-end development. Proficient in one or more Data Development technologies (SQL, NoSQL, etc.). Skills in Master data management, Data analysis, visualization (Power BI) and stakeholder management is required. Proficient in back-end development using Python. Proficient in Cloud Native Deployment More ❯

or similar): AWS (s3, Lambda, Kinesis, API Gateway, IAM, Glue, SNS, SQS, EventBridge, EKS, VPC, Step Functions, ECS/EKS, DynamoDB, etc.), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault/AWS Secrets Manager, Docker/OpenShift/Open Cloud Foundry, MongoDB, Docker, BlackDuck, SonarQube Knowledge and experience with More ❯