Azure Data Engineer

JATO Dynamics is a global company and the leading provider of automotive market intelligence. With an insight into over 50 overseas markets, we deliver the world's most complete, accurate and up-to-date automotive data and insights, creating significant competitive advantage to our customers.

Find out more about what we do here: JATO

Our vision is to be the world’s most exciting leader in automotive business intelligence solutions. We aim to generate excitement through implementing pioneering ideas, problem solving and going beyond our customer expectations. Our JATO colleagues are partners in our future and stakeholders in our desires. Our strategic intent is to help customers create significant competitive advantage by constantly leading in connected data, information and knowledge provision, ultimately improving our customers’ work processes, informed decision-making and business results.

Do you want to be part of building out next generation SaaS products that power the automotive industry?

JATO is currently looking to hire a Data Engineer to join our agile teams. As a Data Engineer, you will work in a product delivery team using your data analysis, ETL and cloud technology skills to discover, model, provision and store data at scale in the cloud.

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• Ingest, store and provision data at scale in the Azure cloud platform using Data Factory or Synapse
  
• Work closely with colleagues in Operations, Architecture, Delivery, Product, and Software Engineering to collaboratively release platform increments
  
• Contribute toward solution level architecture and design
  
• Own your release from development to production following Azure DevOps
  
• Contribute towards ADF and Synapse pipeline design improvement and best practices and following data engineering design principles
  
• Understand data issues and able to analyse and work with Architects in addressing design challenges
  
• Able to migrate data from legacy databases and storage to Azure cloud-based lake and warehouse
  
• Continuously enhance your knowledge base and skillset
  

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• Minimum 2+ years’ hands‑on experience designing and developing complex ETL/ELT pipelines in the cloud (Azure Data Factory and / or Azure Synapse)
  
• Experience of preparing data mappings based on high level requirements and taking those to a solution level details
  
• Firm 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 layer
  
• Knowledge and experience in value‑added areas of automation, scripting
  
• Knowledgeable about the different types of cloud‑based storage resources and distributed systems
  
• Relational databases (SQL Server, MySQL etc.), NoSQL and writing queries
  
• Hands‑on analytical and data exploration skills
  
• Experience of working in Agile methodology
  
• Good knowledge of API‑based Integration and Microservices architecture
  
• Practical experience of improving data quality and efficiency in data pipelines
  
• Solid understanding of DevOps and CI/CD
  
• Understanding of compliance and lifecycle of data management
  

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• Coding experience in any relevant language (Python, Pyspark etc.)
  
• Experience working with other Azure technologies such as Fabric, Databricks, Power Automate
  
• Experience of working with non‑relational databases (CosmosDB, MongoDB, etc.) and handling unstructured data in ETL pipelines
  

JATO core values are Integrity, People First, Collaboration, Innovation and Excellence.

JATO core values are Integrity, People First, Collaboration, Innovation and Excellence.

JATO 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.