Azure Data Engineer

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Azure Data Engineer

Location
Budapest (Liberty Office)
Working hours
Full time
Employment type
Employee
Contract type
Permanent
Education
High school or university degree
Experience
3 - 5 years experience

Job description

Listed in the Premium category of the Budapest Stock Exchange AutoWallis is the leading integrated automotive retail and mobility service provider in the Central and Eastern European region.

AutoWallis is present in 17 countries of the Central and Eastern European region  with retail and wholesale of vehicles and spare parts, repair services, and short- and long-term vehicle rental. The AutoWallis Group is committed to providing its customers with the freedom of driving as a long-term partner with outstanding brands and solutions in the automotive industry. 

Tasks

As an Azure Data Engineer, you will design, build and maintain key elements of our enterprise data platform. You will develop scalable, reliable data pipelines, integrate data from various business systems and ensure its accuracy and consistency to support business needs and operational processes.

 

You will join the Data Integration team within Internal Solutions Development, working closely with the BI Development team: we build trusted, well-structured data foundations by integrating source systems, organizing data and ensuring data quality, while our BI colleagues turn this foundation into reporting and analytical solutions that support decision-making.

 

In this role, you will gain broad exposure to the full data lifecycle, from source system integration and transformation logic to data quality, documentation, analytics enablement and business-facing data products.

 

Roles and responsibilities:

 

  • Participate in the development and continuous improvement of the company’s data platform strategy, especially in relation to data integration, data storage, data quality and data availability.
  • Contribute technical recommendations on how Azure-based data services can support business reporting, analytics and operational decision-making
  • Design, monitor and maintain ETL/ELT data pipelines using Azure Data Factory.
  • Integrate data from multiple internal and external source systems, including databases, APIs, files and business applications.
  • Develop and maintain database objects, data models, stored procedures, views and transformation logics in Azure SQL Database.
  • Use Azure Blob Storage for storing, organizing and processing structured and semi-structured data.
  • Implement data validation and reconciliation processes to ensure data quality, consistency and reliability.
  • Investigate and resolve data anomalies, pipeline failures and performance issues.
  • Prepare and maintain technical documentation, including how data flows, object dependencies and data lineage.
  • Support Power BI and analytics initiatives by providing reliable, well-structured and business-ready data layers.
  • Work closely with internal business stakeholders, BI developers to understand data needs and translate them into technical implementations.
  • Help business users and BI teams understand available data sources, data structures and integration logic.
  • Communicate with external IT vendors regarding integration requirements or change requests for existing processes.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Economics with strong IT/data focus, or a related field.
  • Minimum 3 years of experience in a Data Engineer, Data Platform Engineer, BI/Data Developer or similar role.
  • Hands-on experience with ETL/ELT processes, database development, data integration and data platform operations.
  • Familiar with CI/CD workflows, preferably with Azure DevOps, routine use of source control (Git) during your workflows.
  • Experience with Power BI-related data preparation, semantic model support or reporting data layers is considered an advantage.
  • Fluent Hungarian and professional working English
  • Structured thinking and ability to understand complex data flows.
  • Strong analytical and problem solving skills: ability to think at both micro (pipeline, task/job) and macro (architecture, strategy, reusability) levels.
  • Excellent knowledge of programming language skills (SQL is a must, Python is favourable).
  • Good communication skills: able to cooperate with both technical and business (non-technical) stakeholders; able to assess situations from different perspectives.
  • Ablility to understand business requirements and translate them into technical solutions.
  • Data modelling and data warehousing concepts.
  • Strong SQL knowledge.
  • Azure Data Factory, Azure SQL Database, Azure Blob Storage, Azure Logic Apps.
  • REST API integration basics.
  • Git based source control.

Advantage

 

  • Experience with Microsoft Fabric.
  • Azure DevOps workflows
  • Python

Our offer

  • You will have the opportunity to build and grow your career within a stable and expanding international company group
  • Attractive compensation package, including annual performance-based bonus, home-office opportunity, private healthcare service and mobility allowance (wigo)

AutoWallis Plc. is committed to diversity and equal treatment. We consider every application fairly and without discrimination.

AutoWallis in numbers

16 countries
1600+ employees
30 brands sold