At a Glance
- Tasks: Design and build scalable data pipelines using Azure technologies to transform complex datasets.
- Company: Join JATO Dynamics, a leader in automotive market intelligence with a global presence.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Other info: Collaborative environment focused on innovation and continuous improvement.
- Why this job: Shape the future of cloud data platforms and make a real impact in the automotive industry.
- Qualifications: 3+ years in ETL/ELT pipelines with Azure Data Factory and Synapse Analytics.
The predicted salary is between 63000 - 77000 £ 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.
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
We're seeking an Azure Data Engineer with Microsoft Fabric experience to join our agile product delivery teams.
- This role is ideal for someone who has already delivered data solutions using
- Microsoft Fabric
, alongside Azure Data Factory and Azure Synapse Analytics, and is excited about helping shape the future of our cloud data platform.
You’ll design, build, and optimise scalable data pipelines and products that transform complex datasets into valuable commercial solutions for internal and external customers.
Working closely with Product, Architecture, Operations, and Engineering teams, you’ll contribute to platform innovation, data architecture, and best practices while leveraging modern Dev Ops and AI-enabled development approaches.
Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse Analytics, and Microsoft Fabric.
- Ingest, transform, and store data in Azure cloud platforms to create trusted data assets.
- Develop and deliver data products that meet business and customer requirements.
- Collaborate with Product, Architecture, Operations, and Engineering teams to deliver platform enhancements.
- Contribute to solution design, architecture, and data engineering best practices.
- Own the end-to-end delivery lifecycle, from development through to production using Dev Ops and CI/CD practices.
- Analyse and resolve data engineering challenges, supporting continuous platform improvement.
- Migrate data from legacy systems into Azure-based data lakes and data warehouses.
- Develop and maintain Py Spark notebooks and data processing solutions.
- Improve data quality, reliability, and performance across data pipelines.
- Leverage AI-driven tools to enhance coding, testing, and documentation efficiency.
- Continuously develop technical expertise and share knowledge across the team.
- Key Requirements
- 3+ years' experience building ETL/ELT pipelines using Azure Data Factory and Azure Synapse Analytics.
- Experience with Synapse Serverless and Dedicated SQL Pools.
- Strong understanding of data warehousing, data lakes, and end-to-end data pipelines.
- Proficiency in SQL, stored procedures, and working with relational and No SQL databases.
- Hands-on experience with Py Spark and Microsoft Fabric.
- Knowledge of Dev Ops, CI/CD, Agile delivery, and data quality best practices.
- Strong analytical, problem-solving, and troubleshooting skills.
- Experience with Python, Power BI, Power Automate, Cosmos DB, or Mongo DB is advantageous.
- Familiarity with AI-assisted development tools and modern automation practices is desirable.
- Excellent communication skills, attention to detail, and the ability to collaborate across multiple teams and manage competing priorities.
- Automotive industry experience is a plus.
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.
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Azure Data Engineer (Microsoft Fabric) in Uxbridge employer: JATO Dynamics Limited
JATO Dynamics Limited is an excellent employer for IT Service Reliability Engineers, offering a dynamic work culture that prioritises collaboration and innovation. Employees benefit from continuous professional development opportunities and a supportive environment that encourages growth and resilience in tackling complex challenges. Located in a vibrant area, the company provides unique advantages such as access to cutting-edge technology and a commitment to maintaining optimal service performance.
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