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Data Engineer-Conversational Analytics

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Onsite

Data Engineer-Conversational Analytics

ALDI

Data Engineer-Conversational Analytics

Skills

SQL QueriesBig DataPythonDatabricksData AnalysisAIPySpark

13 days ago

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Important information


Contract type:

Permanent

Location:

Pécs, Hungary

Work mode:

Onsite

Published on:

6 October 2026

What they need


MUNKAVÉGZÉS HELYE

7622 Pécs, Bajcsy-Zsilinszky utca 33.

TEVÉKENYSÉGI TERÜLET

IT

MUNKAVÉGZÉS KEZDETE

Megegyezés szerint

FOGLALKOZTATÁS MÉRTÉKE

Teljes munkaidő

My responsibilities:

  • Provide trusted data for conversational analytics, including a semantic layer, metric definitions, and a business glossary that text-to-SQL questions can use
  • Maintain, develop, and optimize the data layer of AI us cases in the global data lake 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 Databricks
  • 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 modelling 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 (pyspark)
  • Advanced level Big Data / data lake framework (Spark, Databricks)
  • Strong cloud knowledge and handling of Databricks
  • Basic familiarity with UNIX operating system, especially shell scripting
  • Basic understanding of network level problems and connectivity requirements
  • Basic understanding of data modelling principles and semantic layers (metric definitions, business glossaries) for conversational analytics
  • Data-centric mindset
  • Structured, analytical thinking
  • Strong communication skills
  • Well-organized

The offer that would convince me:

  • A constantly growing organization and increasing opportunities
  • Secure, long-term job opportunity
  • Varied and engaging job responsibilities
  • The chance to build data products used by colleagues across the international organization
  • Outstanding salary
  • Flexible work arrangements
  • Home office possibility

Online application:

Please use our online application and attach your resume.

AIIS Adatkezelési tájékoztató

Privacy notice

  • Provide trusted data for conversational analytics, including a semantic layer, metric definitions, and a business glossary that text-to-SQL questions can use
  • Maintain, develop, and optimize the data layer of AI us cases in the global data lake 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 Databricks
  • 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 modelling 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 (pyspark)
  • Advanced level Big Data / data lake framework (Spark, Databricks)
  • Strong cloud knowledge and handling of Databricks
  • Basic familiarity with UNIX operating system, especially shell scripting
  • Basic understanding of network level problems and connectivity requirements
  • Basic understanding of data modelling principles and semantic layers (metric definitions, business glossaries) for conversational analytics
  • Data-centric mindset
  • Structured, analytical thinking
  • Strong communication skills
  • Well-organized

The offer that would convince me:

  • A constantly growing organization and increasing opportunities
  • Secure, long-term job opportunity
  • Varied and engaging job responsibilities
  • The chance to build data products used by colleagues across the international organization
  • Outstanding salary
  • Flexible work arrangements
  • Home office possibility

Online application:

Please use our online application and attach your resume.

AIIS Adatkezelési tájékoztató

Privacy notice

", "identifier": { "@type": "PropertyValue", "name": "ALDI Karrier", "value": "1444852233" }, "datePosted": "2026-10-06", "hiringOrganization": { "@type": "Organization", "name": "ALDI Magyarország", "sameAs": "https://karrier.aldi.hu/", "logo": "https://karrier.aldi.hu/fileadmin/user\_upload/Logos\_S\_E/ALDI.svg" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "streetAddress": "Bajcsy-Zsilinszky utca 33.", "addressLocality": "Pécs", "postalCode": "7622", "addressCountry": "HU" } }, "employmentType": "FULL_TIME" }

Állás megjelölése

Eltávolítás a kedvencek közül

Juttatásaink számodra...

Átlagon felüli fizetés

Munkába járás támogatása

Friss zöldség, gyümölcs, kávé és tea biztosítása

Változatos és felelősségteljes feladatok

Átfogó betanulási programok

Aktív egészségmegőrzés

Jól felszerelt pihenőhelyiségek

Vonzó részmunkaidős lehetőségek

Magas szakmai színvonalú képzések az ALDI Akadémia keretében

Sokszínű munkaidő lehetősége

Légszűrő berendezés

...és még sok más!

Kattints ide, amennyiben a tartalom megtekintéséhez hozzájárulásodat kívánod adni harmadik fél szolgáltatásainak vagy technológiájának használatához.

Az ALDI-nál a legmagasabb vásárlói elégedettséget mindig szem előtt tartjuk. 5000 munkatársunk dolgozik nap mint nap a kimagasló vásárlói élmény megteremtésén. Csatlakozz hozzánk és kezdd meg ALDI-s karriered üzleteink egyikében, biatorbágyi raktárjainkban, központunkban, budapesti pécsi vagy debreceni szolgáltatóközpontunk egyikében. Tedd meg az első lépést és csatlakozz sikeres csapatunkhoz.

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