Azure Data Engineer in Uxbridge

Azure Data Engineer in Uxbridge

Uxbridge Full-Time 36000 - 60000 £ / year (est.) Hybrid
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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.
  • Other info: Embrace a collaborative environment that values innovation and excellence.
  • 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.

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

JATO Dynamics Ltd is an exceptional employer, offering a dynamic work environment in Uxbridge where innovation meets collaboration. Employees benefit from a supportive culture that prioritises professional growth through continuous training and development opportunities, alongside a commitment to work-life balance. Joining our global Technology Team means being part of a forward-thinking organisation that values your contributions and fosters a sense of community among colleagues worldwide.

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Contact Details:

JATO Dynamics Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Azure Data Engineer in Uxbridge

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We think you need these skills to ace Azure Data Engineer in Uxbridge

Data Analysis
ETL/ELT Pipeline Development
Azure Data Factory
Azure Synapse
Data Warehousing Concepts
Automation and Scripting
Relational Databases (SQL Server, MySQL)

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at JATO Dynamics Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at JATO Dynamics Ltd

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at JATO Dynamics Ltd!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.