3 of 3 Azure Synapse Analytics Jobs in Merseyside

shape the company's data strategy and make a real impact. This hybrid role offers the perfect balance of office collaboration and flexibility. Responsibilities Build and maintain solutions using Azure Synapse, SQL, SSIS, and Azure Data Factory . Drive improvements in data integration and reporting with SSRS and Power BI . Collaborate with a supportive team that … values innovation, creativity, and growth. Qualifications Experience with SQL development, SSIS, Azure Data Factory ; Git knowledge is essential. Bonus: experience with Confluent, Flink, Kafka, or AWS . Someone innovative, team-oriented, and ready to push boundaries . Why you'll love it Salary up to £60K plus pension, healthcare, holidays, and bonuses. Be part of a family-like, collaborative More ❯

support their strategic goals, ensuring system resilience and performance, and building secure, scalable database architectures. Key Responsibilities of a Senior Database Developer: 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 … and audit compliance. Collaborate across departments to deliver and support production systems. Key Skills and Experience of a Senior Database Developer Strong expertise in SQL Server Management Studio, SSIS, Azure Data Factory, and 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 More ❯

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 … 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 … for analytics.• Experience with agile principles and practices The "Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics More ❯