Senior Engineer - International Data & Analytics at ALDI | HOFER

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Database Management, SQL, Data Quality Control, Python, Pandas, Numpy, Big Data, Spark, Databricks, Azure Data Factory, Event Hub, UNIX, Shell Scripting, Data Modeling, Analytical Thinking, Communication Skills

Industry

Retail

Description

PLACE OF WORK 1112 Budapest, Boldizsár utca 2. AREA OF EMPLOYMENT IT START OF WORK as soon as possible EMPLOYMENT TYPE Full-time megállapodás szerint .profile_item { list-style-type: none !important; } .profile_heading { font-weight: bold; } .profile_content { padding-bottom: 0.5rem; } .profile_section:has(.profile_item:empty) { display: none; } My responsibilities: Maintain, develop, and optimize the global datalake environment, ensuring high data quality, reliability, and overall performance Design and implement high-performance data processing pipelines and workflows utilizing Python, Spark, and Databricks Manage scalable and efficient data integration and processing solutions using Azure Data Factory, Databricks, and Event Hub Establish robust data management processes and execute advanced data querying and quality control with SQL and big data technologies Automate operational tasks and support infrastructure maintenance by leveraging shell scripting and foundational UNIX knowledge Support data modeling initiatives for coherent structure design and document all technical processes to ensure operational continuity The knowledge I own: Strong background and understanding of database data management (general SQL knowledge, data querying, data quality control) Strong programming knowledge in Python (pandas, numpy) Advanced level Big Data / data lake framework (Spark, Databricks) Strong cloud knowledge and handling of Azure Data Factory, Databricks, Event Hub Basic familiarity with UNIX operating system, especially shell scripting Basic understanding of network level problems and connectivity requirements  Basic Understanding data modelling principes Data-centric mindset Structured, analytical thinking Strong communication skills Well-organized Can work in a multi-shift operation (Monday to Friday, 07:00 AM - 22:00 PM) + on-call (weeknights, weekends and public holidays) The offer that would convince me: Possibility to improve yourself in a constantly growing organization An above-average salary Intensive individual and practical training varied and interesting tasks Pleasant working environments A secure, long-term employment opportunity Location: HybridStart date: ImmediatelyOnline application: Please use our online application and attach your resume. AIIS Adatkezelési tájékoztató Privacy notice

Responsibilities

Maintain and optimize the global datalake environment while ensuring high data quality and performance. Design and implement data processing pipelines using Python, Spark, and Databricks.