Senior Data Engineer #QuantumComputing in Bucuresti

Azure (junior) Python (junior) Quantexa (junior) SQL (regular) Spark (regular) Scala (regular) I invite you to talk about a job offer in the area of financial services. In brief I can say that you will be working on a project which helps to develop solutions to process large, also unstructured, datasets, with dedicated Cloud Data services. We are responsible for full SDLC of the solution and what is more we are exploring the area of Quantum Computing and Generative AI, searching for practical growth opportunities. That is why Quantexa solution is really important for us (min 5-6 months of experience). As a Senior Data Engineer you will be working with such technologies as Quantexa, Spark, Scala, Python, Azure, SQL. We are looking for several locations: Gdańsk, Katowice, Kraków, Poznań, Warszawa, Wrocław Scope of duties: Developing Quantexa ETL processes to clean, normalize, and transform raw data into a format suitable for analysis and modelingDesigning and implementing data ingestion pipelines to acquire and extract data from various sources such as databases, APIs, flat files, and streaming platformsDevelopment of advanced analytics solutions for Anti-Money Laundering (AML) and Countering Terrorist Financing (CTF)Data processing efficiency improvement, migrations from on-prem to public cloud platformsDaily work in English and Scrum methodology What we expect from you:At least 3-4 years of experience in Big Data or Cloud projects in the areas of data analysis and data transformationPractical experience with the Quantexa platform (certification is an advantage)Hands-on experience with Scala and SparkKnowledge of and experience with ITIL, Agile (Scrum) and DevOps methodologiesFluent in English language is a must We offer: Benefits: Multisport card, medical care for the whole family, group insurance on preferential terms, cafeteriaPossibility of using increased tax-deductible costs in the case of creative work (PKUP)Co-financing to equip a workplace at homeA wide range of internal and external trainings (technical, language, leadership)Certification support in various areasLanguage coursesFinancial bonusesAccess to training systems such as Pluralsight, Coursera, Harvard platformsInternal communities (including Agile, IoT, Digital, Security etc)Opportunities for development: co-financing for various certifications (technical & non-technical), mentoring and support of Team Leaders, the possibility to participate in conferences both as a listener and an expertRelocation packageFree parking spaces and lockable bicycle boxesWork during business hours (usually 9am - 5pm; flexible)

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