> Markdown version of [/jobs/ext/4151089-azure-data-engineer](https://www.wearedevelopers.com/jobs/ext/4151089-azure-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data Engineer - **Company:** Valuesjato Dynamics - **Location:** Uxbridge, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Microsoft Azure, Computer Programming, Databases, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Microsoft SQL Server, MongoDB, MySQL, NoSQL, Unstructured Data, Data Ingestion, Azure Data Factory, Pyspark, Non-relational Database, Azure Synapse Analytics, Data Pipelines - **Published:** October 1, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/azure-data-engineer/49433437 ## About the Role practices and following design principlesUnderstand data issues and able to analyse and work with Architects in addressing design challengeMigrate data from legacy databases and storage to Azure cloud-based lake and warehouseKey Requirements:Essential Skills:Minimum 2+ years' hands-on experience designing and developing complex ETL/ELT pipelines in the cloud (Azure Data Factory and Azure Synapse)Experience of preparing data mappings based on high level requirements and taking those to a solution level detailsFirm understanding of data warehousing concepts in the lake and traditional database with experience of working end-to-end in a ETL lifecycle from data acquisition to the consumption layerKnowledge and experience in value-added areas of automation, scriptingRelational databases (SQL Server, MySQL etc.), NoSQL and writing querieHands-on analytical and data exploration skillsExperience of working in Agile methodologyGood knowledge and hands-on experience of developing Stored ProceduresExperience of working with PySpark Notebooks for data ingestion and provisionPractical experience of improving data quality and efficiency in data pipelinesSolid understanding of DevOps and CI/CDUnderstanding of compliance and lifecycle of data managementDesirable Skills:Coding experience in any relevant language (Python, Pyspark etc.)Experience working with other Azure technologies such as Fabric, Power AutomateExperience of working with non-relational databases (CosmosDB, MongoDB, etc.) and handling unstructured data in ETL pipelinesOur valuesJATO core values are Integrity, People First, Collaboration, Innovation and Excellence.Learn more about our values here: JATO Core ValuesJATO Dynamics is a global business and our success is attributed to the diversity, skills and experiences of our colleagues across the world. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, sex, age, gender identity, sexual orientation, religion or belief, disability, marital status or veteran status. #J-18808-Ljbffr