Cloud Engineer

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

Pécs Mid-level Cloud

At a glance

Mid-level Cloud role at ALDI. Pécs.

Pay not stated Cloud Engineer salary

RoleCloud

SeniorityMid-level

LocationPécs

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 around business and connectivity needs, keeping it scalable and cost-conscious
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 to restore service
Develop technical features with an agile team for data engineers, data scientists and machine learning engineers
Coach analytics colleagues on data and infrastructure standards, and assess tools for analytical engineering and data science

What you bring

A computer science background or comparable practical experience, plus work with cloud services and data engineering
Strong command of infrastructure-as-code and scripting, such as Terraform or PowerShell, alongside Azure networking knowledge
SQL proficiency and at least one programming language, with Python preferred
Experience with database development and data modelling, plus understanding of ETL, data governance and related analytics concepts
Strong troubleshooting ability and business-level English communication

Who this fits

This full-time role is based at the stated Pécs address. It suits a cloud engineer who can support data and analytics teams while mentoring colleagues on technical practices. German is a plus, but English fluency is expected.

From the employer

MUNKAVÉGZÉS HELYE
7622 Pécs, Bajcsy-Zsilinszky utca 33.

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