At a Glance
- Tasks: Join our agile team to build next-gen SaaS products for the automotive industry.
- Company: JATO Dynamics, a global leader in automotive market intelligence.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make an impact by working with cutting-edge cloud technologies and data solutions.
- Qualifications: 2+ years of experience in ETL/ELT pipelines and cloud technologies.
- Other info: Embrace a collaborative environment that values innovation and excellence.
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. 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
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 in Uxbridge employer: JATO Dynamics Ltd
Contact Detail:
JATO Dynamics Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer in Uxbridge
✨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 will demonstrate your hands-on abilities and passion for the role.
✨Tip Number 3
Be ready for the interview! Brush up on your knowledge of data warehousing concepts and be prepared to discuss how you've tackled data challenges in the past. Confidence is key!
✨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 in Uxbridge
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 any relevant Azure technologies. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit. Don’t forget to mention our core values and how you embody them.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve data engineering or cloud technologies!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at JATO Dynamics Ltd
✨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 collaboration, so be prepared to talk about how you've worked with cross-functional teams in the past. Share specific examples of how you've partnered with colleagues in Operations, Architecture, or Software Engineering to deliver successful projects. This will demonstrate that you're a team player who can contribute to their agile environment.
✨Highlight Your Problem-Solving Skills
Since JATO aims to go beyond customer expectations, they’ll want to see your problem-solving abilities. Think of a challenging data issue you've faced and how you resolved it. Discuss your approach to analysing design challenges and how you’ve improved data quality and efficiency in your previous roles.
✨Emphasise Continuous Learning
JATO is all about innovation and improvement, so make sure to express your commitment to continuous learning. Talk about any recent courses, certifications, or projects that have helped you enhance your skills, especially in areas like automation, scripting, or new Azure technologies. This shows that you're proactive and eager to grow with the company.