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Azure Data Engineer
JATO Dynamics
- Uxbridge, England, United Kingdom
- Uxbridge, England, United Kingdom
Über
Direct message the job poster from JATO Dynamics
About Us 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 for our customers.
Find out more about what we do here:
JATO
Our Vision 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.
Role Overview 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.
Key Responsibilities
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
Key Requirements
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
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
Our Values JATO core values are Integrity, People First, Collaboration, Innovation and Excellence.
Learn more about our values here:
JATO Core Values
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.
Job Details
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology
Industries: Information Services
Location: London, England, United Kingdom
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Sprachkenntnisse
- English
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