Cloud Engineer

ALDI aldi-hofer.com Open · verified Oct 24, 2026

Budapest Mid-level Cloud

At a glance

Mid-level Cloud role at ALDI. Budapest.

Pay not stated Cloud Engineer salary

RoleCloud

SeniorityMid-level

LocationBudapest

PostedSep 27, 2026 · 3w ago

Role brief

devopsroles summary, based on the employer's posting.

What you'll do

Build and maintain Azure data-platform infrastructure, balancing business and connectivity needs with scale and cost
Apply security controls and compliance practices, including GDPR, to safeguard cloud systems and data
Set up monitoring and alerts, then investigate performance and connectivity problems that affect the platform
Develop team features for data, analytics and machine-learning colleagues, while advising them on infrastructure standards
Assess relevant tools and keep current with Azure, Databricks and related technology developments

What you bring

You have computer science training or equivalent practical experience, plus work with cloud services and data engineering
You can use infrastructure-as-code tools and scripts, and understand networking in Azure and hybrid environments
You work confidently with SQL and at least one programming language, and have database development or data-modelling experience
You bring strong troubleshooting, clear communication and business-level English; German is an added advantage

Who this fits

This suits a cloud engineer who enjoys supporting data and analytics teams and guiding colleagues on technical practices. The role is full time in Budapest, with the start date agreed between the parties.

From the employer

MUNKAVÉGZÉS HELYE
1112 Budapest, Boldizsár utca 2.

TEVÉKENYSÉGI TERÜLET
IT

MUNKAVÉGZÉS KEZDETE
Megegyezés szerint

FOGLALKOZTATÁS MÉRTÉKE
Teljes munkaidő

megállapodás szerint

My responsibilities:

Designing, developing, optimising, and maintaining the cloud infrastructure of our Azure data platform based on business and connectivity requirements while ensuring scalability and cost efficiency according to ETL and data lake principles
Implementing security best practices and compliance standards (e.g. GDPR) to protect cloud-based assets and data
Implementing monitoring and alerting systems to proactively identify and resolve performance issues
Resolving technical issues to support our business objectives
Working within an agile team to create technical features that empower our Data Engineers, Data Scientists & Machine Learning Engineers
Providing guidance and mentoring data and analytics professionals within your team regarding data and/or infra standards and best practices
Evaluating and recommending new tools and technologies for analytical data engineering and data science
Staying up to date with advancements in Microsoft Azure, Databricks, and related topics

The knowledge I own:

Background in computer science or equivalent experience
Experience in cloud computing services and data engineering, particularly in data analytics
Strong knowledge of infrastructure as code (IaC) tools and scripting languages (e.g. Terraform, PowerShell)
Strong understanding of modern cloud networking concepts, especially within Azure environments
Solid knowledge and understanding of networks, especially applicable in root cause analysis of connectivity issues between clouds and on-prem systems
Proficiency in SQL and in at least one programming language, ideally including Python
Experience in database development and data modelling, ideally with Databricks/Spark and SQL Server DB, as well as knowledge of relational, NoSQL, and cloud database technologies
Conceptual knowledge of data and analytics concepts, e.g. dimensional modelling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
Strong problem-solving and troubleshooting skills
Excellent communication skills and business fluency in English; German language skills are an asset but not required