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HO
Senior Engineer - International Data & Analytics
HOFERPécs, Hungaryfull_timeVerifiedPosted 20 Dec 2025
About the role
<ul>
<li id="profile_heading1">PLACE OF WORK</li>
<li id="profile_field1">7622 Pécs, Bajcsy-Zsilinszky utca 33.</li>
</ul>
<ul>
<li id="profile_heading2">AREA OF EMPLOYMENT</li>
<li id="profile_field2">IT</li>
</ul>
<ul>
<li id="profile_heading3">START OF WORK</li>
<li id="profile_field3">as soon as possible</li>
</ul>
<ul>
<li id="profile_heading4">EMPLOYMENT TYPE</li>
<li id="profile_field4">Full-time</li>
</ul>
<ul>
<li id="profile_heading5"></li>
<li id="profile_field5"></li>
</ul>
megállapodás szerint
<h2><b>My responsibilities:</b></h2>
<ul>
<li><span>Maintain, develop, and optimize the global datalake</span><span> environment, ensuring high data quality, reliability, and overall performance</span></li>
<li><span>Design and implement high-performance data processing pipelines and workflows utilizing </span><span>Python, Spark</span><span>, and </span><span>Databricks</span></li>
<li><span>Manage scalable and efficient data integration and processing solutions using </span><span>Azure Data Factory, Databricks, and Event Hub</span></li>
<li><span>Establish robust data management processes and execute advanced data querying and quality control with </span><span>SQL and big data technologies</span></li>
<li><span>Automate operational tasks and support infrastructure maintenance by leveraging shell scripting and </span><span>foundational UNIX knowledge</span></li>
<li><span>Support data modeling </span><span>initiatives for coherent structure design and document all technical processes to ensure operational continuity</span><span> </span></li>
</ul><h2><b>The knowledge I own:</b></h2>
<ul>
<li><span>Strong</span><span> background and understanding of database data management (general SQL knowledge, data querying, data quality control)</span></li>
<li><span>Strong</span><span> </span><span>programming</span><span> knowledge in Python (pandas, numpy)</span></li>
<li><span>Advanced level</span><span> Big Data / data lake framework (Spark, Databricks)</span></li>
<li><span>Strong cloud</span><span> knowledge and handling of Azure Data Factory, Databricks, Event Hub</span></li>
<li><span>Basic</span><span> familiarity with UNIX operating system, especially shell scripting</span></li>
<li><span>Basic</span><span> understanding of network level problems and connectivity requirements </span></li>
<li><span>Basic</span><span> Understanding data modelling principes</span></li>
<li><span>Data-centric mindset</span></li>
<li><span>Structured, analytical thinking</span></li>
<li><span>Strong communication skills</span></li>
<li><span>Well-organized </span><span> </span></li>
<li><span>Can work in a multi-shift operation (Monday to Friday, 07:00 AM - 22:00 PM) + on-call (weeknights, weekend</span></li>
</ul><h2><b>The offer that would convince me:</b></h2>
<ul>
<li><span>Possibility to improve yourself in a constantly growing organization </span><span> </span></li>
<li><span>An above-average salary </span><span> </span></li>
<li><span>Intensive individual and practical training varied and interesting tasks </span><span> </span></li>
<li><span>Pleasant working environments</span></li>
<li><span>A secure, long-term employment opportunity </span><span> </span></li>
</ul><h2><b>Location:</b></h2>
<p>Hybrid</p><h2><b>Start date:</b></h2>
<p>Immediately</p><h2><b>Online application:</b></h2>
<p>Please use our online application and attach your resume.</p>
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