Data Engineer

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.
PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?
Work format: Remote or in a comfortable office in Lviv - you choose.
Development: Personal development plan, mentoring, English and Polish language courses.
Stability: Official employment from day one, annual review of salary and career prospects.
Corporate culture: Events that unite the team and a space where everyone can be themselves.

PwC Cloud & Digital team supports global cloud projects across Cloud Strategy, Migrations, Data Analytics, and DevOps. We help clients adopt cloud infrastructure, modernize data platforms, and optimize operations.

Your future role:
Building data platforms (data warehouses, lakes, lakehouses) using Azure Databricks, MS Fabric, Azure Data Factory.
Designing data flows using medallion architecture and supporting data migrations from legacy systems.
Conducting data assessments with Data Modelers/Analysts and addressing data quality issues.
Working with senior stakeholders to gather requirements and support modern data architecture design.
Supporting Data Governance activities, especially around MDM and Data Quality.
Understanding Data Science/Analytics use cases in industries like Consumer Goods, Retail, Manufacturing, or Financial Services.

Apply if you have:

4+ years of experience in Data Engineering or related fields (BI, Data Science).
Hands‑on experience with Databricks, Snowflake, BigQuery, MS Fabric.
Experience building data warehouses/lakehouses with Azure Data Factory / Synapse.
Skills in PySpark/Python and SQL.
Some exposure to CI/CD (Azure DevOps, Jira).
B2+ English and ability to prepare technical documentation.
Experience using modern tech and AI tools in daily work.

Nice to have:
Cloud certifications (Azure/AWS/GCP) and Data Governance certifications.
Training via platforms like Coursera/Udemy/Datacamp.
Knowledge of data modelling (e.g., Kimball), Data Strategy, Data Quality, and MDM.
Experience with Agile (Scrum), ML/GenAI use cases, or Agentic AI for data automation.
Work with senior stakeholders (e.g., CDOs) in Manufacturing, Consumer Goods, or Financial Services.

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https://www.pwc.com/ua/uk/about/privacy.html