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You will work closely with a team of data engineers, under the leadership of our Data Architect, to ensure data quality, scalability, and efficiency across the organization. Your technical expertise and problem-solving skills will be vital in shaping our data landscape.<br><strong>This is a fully in-office role based in Kraków.</strong><br><br></p><p><strong>Key responsibilities:</strong></p><ul> <li>Data Infrastructure Development: Contribute to the design and implementation of data lakes, data warehouses, and ETL/ELT pipelines.</li> <li>Data Modeling: Develop and maintain data models to support the efficient storage and retrieval of data.</li> <li>Data Orchestration and DataOps: Implement and optimize data pipelines, ensuring seamless data flow and processing.<br> </li> <li>Data Acquisition: Integrate and process data from multiple sources, ensuring consistency and accuracy.</li> <li>Monitoring and Maintenance: Develop and implement monitoring systems to ensure data quality and availability.</li> <li>Collaboration: Work closely with the Data Architect and other team members to ensure alignment on technical strategies and project goals. Work effectively within a diverse, international team spread across Switzerland, Serbia, and China.</li> <li>Optimization: Continuously seek to improve the performance, scalability, and reliability of the data infrastructure.<strong></strong> </li> </ul><p><strong>Required Hard Skills:<br></strong></p><ul> <li> <strong></strong>University degree, ideally a <strong>Masters in Computer Science</strong> or related science, technology or engineering field.</li> <li> <strong>5+ years of relevant work experience in data engineering roles.</strong><br> </li> <li>Proven experience in <strong>data acquisition, laking, warehousing, modeling, and orchestration.</strong><br> </li> <li>Strong knowledge of <strong>common columnar file formats</strong> used in data applications.<br> </li> <li>Expertise in data <strong>partitioning and incremental scalability</strong><br> </li> <li>Expertise in <strong>data quality and data governance</strong><br> </li> <li>Advanced skills in <strong>SQL</strong> (including window functions and CTE).<br> </li> <li>Proficiency in<strong> RDBMS</strong> (e.g., MySQL, PostgreSQL).<br> </li> <li>Strong programming skills in <strong>Python</strong> (with libraries like Polars, optionally Arrow / PyArrow APIf).</li> <li> Experience with <strong>OLAP query engines</strong> (e.g., Clickhouse, DuckDB, Apache Spark).<br> </li> <li>Experience with <strong>Apache Airflow</strong> (or similar tools like Dagster or Prefect).<br> </li> </ul><p><strong>Good to Have:</strong></p><ul> <li> Experience in entity disambiguation.<br> </li> <li> Familiarity with orchestration and containerization technologies (e.g., Docker, Kubernetes).<br> </li> <li>Knowledge of Linux (Ubuntu/Debian).<br> </li> <li>Experience with Git and Atlassian tools (Jira, Confluence).<br> </li> <li>Knowledge of dbt.<br> </li> <li>Understanding of graph databases (e.g., neo4j).</li> </ul><p><strong><br></strong></p><p><strong>Required Soft Skills:</strong></p><ul> <li>Strong teamwork and communication skills.<br> </li> <li>Ability to work independently and manage your time effectively.<br> </li> <li>Comfortable working in a diverse, international environment.</li> </ul><p><strong><br>Why Join Us?</strong><br></p><ul> <li>Be part of a dynamic and innovative team at the forefront of data technology.<br> </li> <li> Opportunity to shape a new team, driving impactful projects.<br> </li> <li>Work in a collaborative environment that values creativity and diversity.<br> </li> <li>Competitive salary. <br> </li> <li>Private medical care (fully covered).</li> <li>MultiSport card (partially covered).</li> <li>Team building activities</li> </ul><p><br></p><p>If you are interested in this position, we look forward to receiving your complete application. Please submit your<strong> CV in English.</strong>We look forward to welcoming you to our team in Krakow<br> <br> <br> <strong>About MDPI</strong><br><br> A pioneer in scholarly, open access publishing, MDPI has supported <br>academic communities since 1996. Headquartered in Basel, Switzerland, <br>MDPI has the mission to foster open scientific exchange in all forms, <br>across all disciplines.<br> We operate currently over 400 diverse, <br>peer-reviewed, open-access journals supported by over 66,000 academic <br>editors. We serve scholars from around the world to ensure the latest <br>research is openly and broadly available.<br> Besides our main <br>publishing business, we develop and maintain digital platforms and <br>software ranging from scientific exchange platforms to article databases<br> and search engines, all focused on empowering scholars and giving them <br>the best possible product and service. As of the end of 2022, we count <br>more than 6700 colleagues in 17 offices across 11 countries.<br><br> <strong>Initiatives</strong><br><br> At MDPI, we develop and maintain various platforms in order to <br>better serve the scientific community. Please find below a list of our <br>main platforms:<br> <a href="https://www.mdpi.com/">https://www.mdpi.com/</a><br> <a href="https://sciprofiles.com/">https://sciprofiles.com/</a><br> <a href="https://sciforum.net/">https://sciforum.net/</a><br> <a href="https://www.scilit.net/">https://www.scilit.net/</a><br> <a href="https://www.preprints.org/">https://www.preprints.org/</a><br> <a href="https://encyclopedia.pub/">https://encyclopedia.pub/</a><br> <a href="https://www.mdpi.com/books/">https://www.mdpi.com/books/</a></p><p><br></p><p><span dir="ltr"><strong>#Li-Onsite</strong></span></p>", "identifier": { "@type": "PropertyValue", "name": "MDPI Poland", "value": "5041939" }, "datePosted": "2024-10-02T16:34:39+02:00", "employmentType": "FULL_TIME", "hiringOrganization": { "@type": "Organization", "name": "MDPI Poland", "logo": "https://images.teamtailor-cdn.com/images/s3/teamtailor-production/logotype-v3/image_uploads/aed8853f-8a00-4e53-858a-1e60ef164c7a/original.png", "sameAs": "https://mdpipoland.teamtailor.com" }, "jobLocation": [{"@type":"Place","address":{"streetAddress":"al. 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data-blocks--cover--scroll-smooth-scroll-class="scroll-smooth" data-careersite--jobs--form-overlay-target="cover"> <div class="relative flex flex-col items-center justify-center w-full px-4 text-lg text-center z-career-block-content h-full"> <div class="relative md:max-w-[75%] w-full pb-[130px]" data-variableTextWrapper=""> <div class="w-full mb-8 text-sm font-bold tracking-widest text-center uppercase"> <span>Kraków</span> </div> <h1 class="font-company-header hyphens-auto text-[35px] md:text-6xl lg:text-[72px] leading-tight" data-controller="fit-title">Senior Data Engineer</h1> <h2 class="block mt-2 sm:text-xl leading-normal">Join our Kraków team as a Senior Data Engineer and help design, develop, and optimize our data infrastructure to drive organizational success!</h2> <div class="mt-10"> <button role="button" class="careersite-button min-w-[220px] group min-w-[220px] bg-opacity-100" data-action="click->careersite--jobs--form-overlay#showFormOverlay" data-careersite--jobs--form-overlay-target="coverButton"> <span class="flex items-center justify-center gap-x-3"> <span class="truncate">Apply for this job</span> </span> </button> </div> </div></div> <div class="absolute inset-0 z-career-block-overlay" style="background-color: #000000; opacity: 50%"></div> <button class="hidden lg:block z-career-block-content absolute hover:opacity-75 rounded-full bottom-10 left-half transform -translate-x-1/2 focus-visible-company-secondary" data-action="click->blocks--cover--scroll#handleScrollDown" title="Scroll to content"> <i class="text-[48px] fal fa-circle-chevron-down size-12"></i> </button></section> <section class="pt-20 pb-12 block-px company-links"> <div class="mx-auto max-w-[750px] prose font-company-body overflow-hidden break-words [&_ol_li_li]:list-[lower-alpha]" data-controller="careersite--responsive-video"> <p>Become a key player in our data engineering team and help us build the foundation of our data-driven success! <br>As a Senior Data Engineer, you will play a critical role in designing, developing, and optimizing our data infrastructure. You will work closely with a team of data engineers, under the leadership of our Data Architect, to ensure data quality, scalability, and efficiency across the organization. Your technical expertise and problem-solving skills will be vital in shaping our data landscape.<br><strong>This is a fully in-office role based in Kraków.</strong><br><br></p><p><strong>Key responsibilities:</strong></p><ul> <li>Data Infrastructure Development: Contribute to the design and implementation of data lakes, data warehouses, and ETL/ELT pipelines.</li> <li>Data Modeling: Develop and maintain data models to support the efficient storage and retrieval of data.</li> <li>Data Orchestration and DataOps: Implement and optimize data pipelines, ensuring seamless data flow and processing.<br> </li> <li>Data Acquisition: Integrate and process data from multiple sources, ensuring consistency and accuracy.</li> <li>Monitoring and Maintenance: Develop and implement monitoring systems to ensure data quality and availability.</li> <li>Collaboration: Work closely with the Data Architect and other team members to ensure alignment on technical strategies and project goals. Work effectively within a diverse, international team spread across Switzerland, Serbia, and China.</li> <li>Optimization: Continuously seek to improve the performance, scalability, and reliability of the data infrastructure.<strong></strong> </li> </ul><p><strong>Required Hard Skills:<br></strong></p><ul> <li> <strong></strong>University degree, ideally a <strong>Masters in Computer Science</strong> or related science, technology or engineering field.</li> <li> <strong>5+ years of relevant work experience in data engineering roles.</strong><br> </li> <li>Proven experience in <strong>data acquisition, laking, warehousing, modeling, and orchestration.</strong><br> </li> <li>Strong knowledge of <strong>common columnar file formats</strong> used in data applications.<br> </li> <li>Expertise in data <strong>partitioning and incremental scalability</strong><br> </li> <li>Expertise in <strong>data quality and data governance</strong><br> </li> <li>Advanced skills in <strong>SQL</strong> (including window functions and CTE).<br> </li> <li>Proficiency in<strong> RDBMS</strong> (e.g., MySQL, PostgreSQL).<br> </li> <li>Strong programming skills in <strong>Python</strong> (with libraries like Polars, optionally Arrow / PyArrow APIf).</li> <li> Experience with <strong>OLAP query engines</strong> (e.g., Clickhouse, DuckDB, Apache Spark).<br> </li> <li>Experience with <strong>Apache Airflow</strong> (or similar tools like Dagster or Prefect).<br> </li> </ul><p><strong>Good to Have:</strong></p><ul> <li> Experience in entity disambiguation.<br> </li> <li> Familiarity with orchestration and containerization technologies (e.g., Docker, Kubernetes).<br> </li> <li>Knowledge of Linux (Ubuntu/Debian).<br> </li> <li>Experience with Git and Atlassian tools (Jira, Confluence).<br> </li> <li>Knowledge of dbt.<br> </li> <li>Understanding of graph databases (e.g., neo4j).</li> </ul><p><strong><br></strong></p><p><strong>Required Soft Skills:</strong></p><ul> <li>Strong teamwork and communication skills.<br> </li> <li>Ability to work independently and manage your time effectively.<br> </li> <li>Comfortable working in a diverse, international environment.</li> </ul><p><strong><br>Why Join Us?</strong><br></p><ul> <li>Be part of a dynamic and innovative team at the forefront of data technology.<br> </li> <li> Opportunity to shape a new team, driving impactful projects.<br> </li> <li>Work in a collaborative environment that values creativity and diversity.<br> </li> <li>Competitive salary. <br> </li> <li>Private medical care (fully covered).</li> <li>MultiSport card (partially covered).</li> <li>Team building activities</li> </ul><p><br></p><p>If you are interested in this position, we look forward to receiving your complete application. Please submit your<strong> CV in English.</strong>We look forward to welcoming you to our team in Krakow<br> <br> <br> <strong>About MDPI</strong><br><br> A pioneer in scholarly, open access publishing, MDPI has supported <br>academic communities since 1996. Headquartered in Basel, Switzerland, <br>MDPI has the mission to foster open scientific exchange in all forms, <br>across all disciplines.<br> We operate currently over 400 diverse, <br>peer-reviewed, open-access journals supported by over 66,000 academic <br>editors. We serve scholars from around the world to ensure the latest <br>research is openly and broadly available.<br> Besides our main <br>publishing business, we develop and maintain digital platforms and <br>software ranging from scientific exchange platforms to article databases<br> and search engines, all focused on empowering scholars and giving them <br>the best possible product and service. As of the end of 2022, we count <br>more than 6700 colleagues in 17 offices across 11 countries.<br><br> <strong>Initiatives</strong><br><br> At MDPI, we develop and maintain various platforms in order to <br>better serve the scientific community. Please find below a list of our <br>main platforms:<br> <a href="https://www.mdpi.com/">https://www.mdpi.com/</a><br> <a href="https://sciprofiles.com/">https://sciprofiles.com/</a><br> <a href="https://sciforum.net/">https://sciforum.net/</a><br> <a href="https://www.scilit.net/">https://www.scilit.net/</a><br> <a href="https://www.preprints.org/">https://www.preprints.org/</a><br> <a href="https://encyclopedia.pub/">https://encyclopedia.pub/</a><br> <a href="https://www.mdpi.com/books/">https://www.mdpi.com/books/</a></p><p><br></p><p><span dir="ltr"><strong>#Li-Onsite</strong></span></p> </div> </section> <section class="pb-20 block-px"> <div class="px-8 mx-auto max-w-[856px] w-full bg-company-primary-text bg-opacity-3 rounded py-12"> <dl class="md:max-w-[70%] mx-auto text-md gap-y-0 md:gap-y-5 flex flex-wrap flex-col md:flex-row company-links"> <dt class="w-full font-semibold md:w-half">Locations</dt> <dd class="w-full mb-8 break-words md:mb-0 md:w-half md:ltr:pl-16 md:rtl:pr-16"> 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