4 of 4 Azure Synapse Analytics Jobs in Merseyside

ability to deliver quality healthcare services. Key Responsibilities Design and implement ETL pipelines for healthcare data using Python, SQL, and cloud-based tools Develop and maintain data infrastructure on Azure including data lakes, warehouses, and processing frameworks Create robust data transformation processes ensuring data quality, consistency, and security Implement orchestration to automate manual workflows such that they are reliable … in architectural planning to improve overall data infrastructure and capabilities Required Experience Strong experience with Python, SQL, and ETL processes for healthcare data pipelines Proven expertise managing data in Azure, such as Azure Data Factory, Azure Databricks, or Azure Synapse Analytics Experience with data lake and data warehouse architectures Experience building and maintaining data … platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing monitoring and logging for data pipelines Ability to optimise data workflows for performance and scalability Understanding of security best practices More ❯

paid socials, charity events + much more The Role: They're looking for someone who thrives on technical challenges and strategic thinking: Design and maintain robust database solutions across Azure VM and cloud environments Develop and support MI and DWH systems using Azure Synapse/Sharedo and related technologies Enforce best practices in SQL development and source … methodologies Ensure data security, access control, and maintain audit compliance standards Work seamlessly across departments to deliver and support critical production systems Skills: Strong SQL Server Management Studio, SSIS, Azure Data Factory, and Visual Studio Solid hands-on experience with Data Warehousing, SSRS, Power BI Proven track record managing secure, high-performance database environments A genuine passion for continuous … learning and staying ahead of industry innovation Experience with Azure Synapse/Sharedo/Databricks (nice to have) Python (nice to have) Ready to Take the Next Step? If you're a Senior Database Developer who's ready to elevate your career APPLY NOW or email *Please note you must be based in the UK and this role More ❯

depending on experience Working hours: 37.5 hours per week, Monday to Friday, 9am to 5:30pm What you will be doing: Design and maintain robust database solutions across Azure VM and cloud environments Develop and support MI and DWH systems using Azure Synapse/Sharedo and related tools Enforce best practices in SQL development and source control … data security, access control, and audit compliance Collaborate across departments to deliver and support production systems What we are looking for: Strong expertise in SQL Server Management Studio, SSIS, Azure Data Factory, Visual Studio Solid experience with DWH, SSRS, Power BI, Git repositories Proven ability to manage secure, high-performance database environments Excellent communication and cross-functional collaboration skills More ❯

an interesting insight into projects spanning a variety of industries, which may include telecoms, insurance, healthcare, finance and mortgages across various sectors. The Role We are seeking a skilled Analytics Engineer to join our Data Engineering team, ideally as a permanent consultant opportunity. We can move fast and adapt our selection period to our needs. With this in mind … immediate or quick availability is ideal, alongside permanent rights to work are essential, alongside other factors we'll consider. This is a hands-on Analytics Engineering role where you'll be at the heart of data-driven decisions. Day to day you will be transforming raw data in clean, reliable and performant data models using dbt within Google Cloud … and proactively resolving any data, model, or scheduling issues in collaboration with other project owners. • Use version control (Git) and CI/CD to manage the entire lifecycle of analytics code. • Collaborate with cross-functional teams to understand data requirements and implement robust, well-documented and performant dbt models that serve as a single source of truth for business More ❯