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Data Engineer-Conversational Analytics

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Onsite

Data Engineer-Conversational Analytics

ALDI International IT Services

Data Engineer-Conversational Analytics

Skills

SQL QueriesBig DataPythonDatabricksData AnalysisAIPySpark

13 days ago

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Important information


Contract type:

Permanent

Location:

Budapest, Hungary

Work mode:

Onsite

Published on:

7 October 2026

What they need


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

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