4 of 4 Contract SQL Jobs in the North East

data engineering challenges. Required Skills & Experience Proven experience as a Senior Data Engineer with strong Azure expertise.Strong hands-on experience with Databricks.Proficiency in Python, SQL, and data modelling.Strong understanding of ETL processes, data warehousing, and cloud architecture.Excellent problem-solving skills and ability to work independently Visa sponsorship is not available ...

data modeling, ETL/ELT development, and collaborative engineering practices. Key Responsibilities * Design, develop, and maintain scalable data pipelines using Azure Databricks (Python, PySpark, SQL). * Build and optimize ETL/ELT workflows that ingest data from various on-prem and cloud-based sources. * Work with Azure services including Azure … Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Event Hub. * Implement data quality validation, monitoring, metadata management, and governance processes. * Collaborate closely with data architects, analysts, and business stakeholders to understand data requirements. * Optimize Databricks clusters, jobs, and runtimes for performance and cost efficiency. * Develop ...

Selenium, Cypress, Cucumber, JMeter Working knowledge of Software coding language in the Microsoft stack E.g.: C#, node.js, JavaScript etc Working knowledge of any other SQL and relational databases Experience Essential Experience of working within the test team delivering successful outcomes Experience of working as an automated test engineer Practical experience … testing on .NET, SQL and Microservices architecture Qualifications Desirable Certified in ISTQB Technical Test Analyst Analytical and Judgemental Skills Essential Lead on the analysis of complex requirements and derive testable scenarios Knowledge, skills and Expertise Essential Comprehensive and detailed knowledge of testing techniques Comprehensive knowledge of code version management tools ...

leveraging Spark for large-scale processing. Design and implement data models, mapping, and transformation workflows across complex financial datasets. Use Python (Pandas, NumPy) and SQL to support advanced analytics and data manipulation. Collaborate with business SMEs to translate requirements into robust, production-ready data solutions. Integrate Databricks with GCP/… BigQuery to support cloud-native data engineering initiatives. Essential Skills Hands-on Databricks experience , including Spark, Delta Lake, and workflow orchestration. Strong SQL for complex querying and optimisation. Python proficiency , especially for data wrangling and automation. Financial domain knowledge , ideally asset management, investment operations, or asset data. Degree in investments ...