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- Tasks: Join our team to design and manage large-scale data in the Azure cloud.
- Company: JATO Dynamics leads in automotive market intelligence with cutting-edge SaaS products.
- Benefits: Enjoy a hybrid work model, flexible hours, and a creative work environment.
- Why this job: Be part of a dynamic team shaping the future of the automotive industry.
- Qualifications: 3+ years in ETL/ELT pipelines, strong cloud and data warehousing skills required.
- Other info: We celebrate diversity and are an equal opportunity employer.
The predicted salary is between 36000 - 60000 £ per year.
JATO Dynamics is a worldwide leader in automotive market intelligence. We provide the most comprehensive, precise, and current databases of vehicle prices and specifications, along with industry news that includes incentives, sales, and registration data.
Are you interested in contributing to the development of next-generation SaaS products that drive the automotive industry? JATO is seeking a Data Engineer to enhance our dynamic teams. In this role, you will be part of a product delivery team, applying your expertise in data analysis, ETL, and cloud technologies to identify, model, manage, and store large-scale data in the cloud.
In addition to a competitive salary and benefits, JATO offers an open work culture, a hybrid remote or office working model, a flexible approach to work/life balance, and a space that fosters creativity.
Key Responsibilities- Ingest, warehouse, and store data at scale in the Azure cloud platform
- 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 DevOps method
- Continuously enhance your knowledge base and skillset
- Contribute towards ADF and Synapse pipeline design improvement and best practices and following 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
- Essential Skills
- Minimum 3+ years’ experience designing and developing complex ETL/ELT pipelines in the cloud (Azure Data Factory or Azure Synapse)
- Experience of preparing data maps 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 from landing to the reporting 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, visualisation and exploration skills
- Experience of working in Agile methodology
- Experience of working with APIs and good knowledge of API-based Integration and Microservices architecture
- Practical experience of improving data quality and efficiency
- 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 Azure Synapse, Databricks, and/or similar technology
- Experience automating test cases
- Experience working with non-relational databases (Cassandra, MongoDB, etc.)
- Experience of working in the Automotive industry
- Soft Skills
- Strong communication skills
- Strong problem-solving skills
- Experience in creating detailed support and technical material
- Attention to detail
- Respond to tight deadlines
- Being a team player
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.
Please note all CVs must be submitted in English in order to be considered for the role. You must have the right to work and live in the country you are applying for.
Contact Detail:
JATO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Familiarise yourself with Azure Data Factory and Azure Synapse, as these are crucial tools for the role. Consider taking online courses or tutorials to deepen your understanding of ETL/ELT pipelines and how they function within the Azure ecosystem.
✨Tip Number 2
Network with professionals in the automotive and data engineering sectors. Attend industry meetups or webinars to connect with potential colleagues and learn more about the specific challenges and innovations in automotive data management.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of past projects where you improved data quality or efficiency. Be ready to discuss these experiences during interviews to demonstrate your hands-on analytical abilities.
✨Tip Number 4
Stay updated on the latest trends in cloud technologies and data warehousing. Follow relevant blogs, podcasts, or forums to keep your knowledge fresh and be prepared to discuss how these trends can impact JATO Dynamics' operations.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, ETL/ELT pipelines, and data warehousing concepts. Use specific examples that demonstrate your skills in cloud technologies and data management.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the automotive industry and your understanding of JATO Dynamics' mission. Mention how your skills align with their requirements and how you can contribute to their SaaS products.
Highlight Relevant Projects: Include any relevant projects or experiences that showcase your expertise in data analysis, cloud technologies, and DevOps practices. Be specific about your role and the impact of your contributions.
Proofread and Format: Before submitting your application, ensure that your documents are free from errors and formatted professionally. This reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at JATO
✨Showcase Your ETL Expertise
Be prepared to discuss your experience with designing and developing ETL/ELT pipelines, particularly in Azure Data Factory or Azure Synapse. Highlight specific projects where you successfully managed large-scale data ingestion and warehousing.
✨Demonstrate Collaboration Skills
Since the role involves working closely with various teams, share examples of how you've collaborated with colleagues from different departments. Emphasise your ability to communicate effectively and contribute to team goals.
✨Understand DevOps Principles
Familiarise yourself with DevOps methodologies and be ready to explain how you've applied CI/CD practices in your previous roles. Discuss any experiences you have with automating processes and improving data quality.
✨Prepare for Technical Questions
Expect technical questions related to data warehousing concepts, cloud storage resources, and API integrations. Brush up on your knowledge of relational and non-relational databases, and be ready to solve problems on the spot.
