Data Engineer

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MidFull-time
#344719·Dodano miesiąc temu·0
Źródło: PwC
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Tech Stack / Keywords

GenAIData ScienceBackendCloudMicrosoft AzureDatabricksData LakeData Structures

Firma i stanowisko

In PwC Poland’s Digital& we create innovative applications and deliver data-driven insights by combining software engineering expertise with advanced data analysis, including GenAI applications. Our capabilities span across data science, UX design, business intelligence, data engineering, frontend & backend development and cloud solutions. We carry out projects in various industries, including banking, insurance and retail, supporting clients from Europe, the USA, South America, and Asia.


Wymagania

  • At least 2 years of relevant professional experience
  • Working experience with cloud services for building high-performance data pipelines with Python, Spark and SQL
  • Experience with processing large volumes of data, both structured and semi-structured
  • Strong communication skills
  • Min B2 in English, written and spoken
  • Fluency in Polish for internal communication
  • Good knowledge of Python and SQL
  • Practical knowledge of version control in git
  • Familiarity with Scrum or other agile PM methodologies
  • Familiarity with Linux and bash scripting

Nice to have:

  • Experience with GenAI applications, both as a user and a developer, e.g. RAG or Co-pilot
  • Familiarity with Data Governance topics: data quality assurance, data lineage, versioning, cataloging, privacy etc.
  • Solid understanding of data warehousing concepts and experience in data modeling

Obowiązki

  • Acting as a Data Engineering SME on client projects and internal initiatives
  • Gathering business requirements regarding data products and addressing them with technical solutions
  • Building cloud solutions with Microsoft Azure services, including Databricks, Data Lake Storage, Data Factory, Synapse, Cosmos DB and more
  • Designing, implementing and monitoring cloud-based ETLs
  • Supporting GenAI use cases with data pipelines and relevant data structures, e.g. vector databases
  • Guiding junior team members and reviewing their code
  • Regular communication with project stakeholders

Oferta

  • Work flexibility – hybrid working model (min. 2 days in the office per week), flexible start of the day, workation, sabbatical leave
  • Development and upskilling support during onboarding, mentoring, training sessions, workshops, certification co/financed by PwC (e.g. Data Engineering learning paths with MS Azure or Databricks) and conversations with native speaker
  • Wide medical and well-being program including medical care package (physiotherapy, discounts on dental care), coaching, mindfulness sessions, psychological support, education through webinars and workshops, financial and legal advice
  • Possibility to create your individual benefits package (lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria (vouchers, discounts on IT equipment and car purchase)
  • 3 paid hours for volunteering per month
  • Additional paid Birthday Day off
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