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- Tasks: Build next-gen SaaS products for the automotive industry using Azure cloud technologies.
- Company: JATO Dynamics, a global leader in automotive market intelligence.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Join an innovative team and make a real impact in the automotive sector.
- Qualifications: 2+ years of experience in ETL/ELT pipelines and cloud technologies.
- Other info: Embrace a collaborative environment with a focus on integrity and innovation.
The predicted salary is between 36000 - 60000 £ per year.
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 to our customers. 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.
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
Desirable Skills:
- 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. 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.
Azure Data Engineer employer: JATO Dynamics
Contact Detail:
JATO Dynamics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at JATO Dynamics on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with Azure Data Factory or Synapse. This hands-on demonstration can really set you apart during interviews.
✨Tip Number 3
Be ready to discuss real-world problems! Brush up on common data engineering challenges and think about how you would tackle them. JATO loves innovative problem solvers!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the JATO team.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure Data Engineer role. Highlight your experience with ETL/ELT pipelines and Azure technologies, as this will show us you’re a great fit for what we need.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working with JATO Dynamics and how your skills align with our vision of innovation and excellence.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share specific examples of your work with data engineering, especially in Azure, to give us a clear picture of your capabilities.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible while applying!
How to prepare for a job interview at JATO Dynamics
✨Know Your Azure Stuff
Make sure you brush up on your Azure Data Factory and Synapse skills. Be ready to discuss your hands-on experience with ETL/ELT pipelines and how you've tackled data issues in the past. JATO is looking for someone who can hit the ground running, so show them you know your way around the Azure cloud platform.
✨Show Your Collaborative Spirit
JATO values teamwork, so be prepared to share examples of how you've worked closely with colleagues from different departments. Highlight any experiences where you contributed to solution-level architecture or collaborated on project delivery. This will demonstrate that you're a team player who can thrive in an agile environment.
✨Talk About Data Quality
Be ready to discuss how you've improved data quality and efficiency in your previous roles. JATO wants to know how you approach data challenges and what best practices you've implemented in your pipelines. Bring specific examples to the table to showcase your analytical skills and problem-solving abilities.
✨Embrace Continuous Learning
JATO is all about innovation and staying ahead of the curve. Share how you keep your skills sharp and stay updated on the latest trends in data engineering and cloud technologies. Whether it's through online courses, workshops, or personal projects, showing your commitment to continuous learning will resonate well with the interviewers.
