Senior Data Engineer

4 Months ago • 3 Years + • Data Analyst

Job Summary

Job Description

Senior Data Engineer role at PwC Poland. Build cloud solutions using Azure services like Databricks, Data Lake Storage, Data Factory, and Synapse. Experience with Python, Spark, and SQL for high-performance data pipelines. Strong communication skills required.
Must have:
  • Cloud Services
  • Python, Spark
  • SQL, ETL
  • Large Data
Good to have:
  • GenAI Apps
  • Data Governance
  • Data Warehousing
  • Data Modeling
Perks:
  • Work Flexibility
  • Development & Upskilling

Job Details

Job Description & Summary

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. Our multidisciplinary approach ensures that we deliver comprehensive, impactful solutions that drive business success. We carry out projects in various industries, including banking, insurance and retail, supporting clients from Europe, the USA, South America and Asia.

We are looking for:

Senior Data Engineer 

Your future role: 

  • 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.

Apply if you have: 

  • At least 3 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,

  • 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.

By joining us you gain:

  • Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave,

  • Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC and conversations with native speaker,

  • Wide medical and wellbeing program - medical care package (incl. dental care, freedom of treatment, physiotherapy), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling, 

  • Possibility to create your individual benefits package (a.o. 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,

  • And when you start enjoying PwC as much as we do, you may recommend your friend to work with us.

Recruitment Process:

  • Apply, 

  • Have a quick conversation with our Recruiter on a short HR screening call,

  • Get to know each other better during an interview with the Recruiter and Hiring Manager.

With any queries please contact us pl_ITrecruitment@pwc.com.

Your personal data will be processed for recruitment purposes by PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.

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About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

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