Cloud Data Engineer

PwC; Kraków; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Hybrid work model

Upskilling and mentoring

Medical and wellbeing program

Flexible benefits package options

Volunteer time off

Job summary

PwC Poland is hiring a Cloud Data Engineer to join the Data, Digital Solutions & AI team. You will build data platforms, define data flows, and design migrations for modern data architectures using Azure-based tools such as Fabric, Databricks, and Data Factory.

The role requires 3+ years in data engineering or related areas, hands-on experience with Azure Databricks/Snowflake/Azure Synapse, and strong Python/SQL skills.

Qualifications

• 3+ years in data engineering or related areas (BI/Data Science).
• Experience building data warehouses, data lakes or lakehouses.
• Hands-on with data transformation in Python (PySpark) and SQL.
• Experience with Data Engineering CI/CD and release management (Azure DevOps/Jira).
• Proficiency in Polish and Business English at B2 level or above.

Responsibilities

• Build data platforms with data lakehouses, data warehouses, and data lakes using Azure-based tools (Fabric, Databricks, Data Factory).
• Define data flows across platforms and choose appropriate patterns (medallion, lambda).
• Design migration plans from legacy systems to target data solutions.
• Conduct data assessments with modelers/analysts to remediate data quality issues.
• Collaborate with senior stakeholders and data architects to gather requirements and design architectures.

Skills

Data engineering

Python (PySpark)

SQL

CI/CD (Azure DevOps/Jira)

Azure cloud platforms

Databricks

Snowflake/Azure Synapse

Tools

Azure Databricks

Azure Data Factory

Azure Synapse Analytics

Snowflake

Job description

Job Description & Summary

As a global leader in IT services, PwC is supported by PwC Poland’s Data, Digital Solutions & AI team. We provide first-class services in all areas of Data Platforms, Data Analytics, Data Strategy and Data Management, just to name a few of our core capabilities. We support clients in the transition to and their adoption of modern data infrastructure, creation of new business models and streamlining their operational activities.

We are looking for:
Cloud Data Engineer

Your future role:

• Building data platforms with critical components including data lakehouses, data warehouses and data lakes using tools such as Microsoft Fabric, Databricks and Azure Data Factory for data extraction, loading and transformation,




• Defining data flows across data platforms, from raw ingestion to business-ready consumption, using the most suitable data architecture patterns, such as medallion or lambda architecture,




• Designing migration plans for moving transactional and master data from legacy systems of record to new target solutions,




• Conducting comprehensive data assessments alongside Data Modelers and Analysts across multiple systems of record and data domains to identify and remediate data quality issues,




• Liaising with senior client stakeholders and supporting Senior Data Architects in gathering functional requirements and designing modern data architectures.

Apply if you have:

• At least 3 years of experience in Data Engineering roles or other relevant areas, such as Business Intelligence or Data Science,




• Hands-on experience with data transformation platforms, preferably Azure-based solutions such as Microsoft Fabric and Databricks; experience with other platforms, such as Snowflake, Azure Synapse or Google BigQuery, is also valued,




• Experience in building data warehouses, data lakes and data lakehouses using tools such as Azure Data Factory and Azure Synapse Analytics,




• Experience in writing data transformation scripts using Python, including PySpark, as well as SQL for querying databases,




• Experience with Data Engineering CI/CD practices and release management across Development, QA and Production environments using tools such as Azure DevOps and/or Jira,




• Polish and Business English proficiency at B2 level or above, including the ability to prepare technical documentation with support from a Project Manager,




• Experience with new technologies and AI-based tools demonstrated in your daily work, for example task automation, information analysis, and content creation.

Nice to have:

• Cloud certifications in Azure, AWS or Google Cloud,




• Experience in applying data modelling frameworks, including Kimball dimensional modelling, to design and build logical and physical data models,




• Interest in and initial experience with Agentic AI solutions for automating data extraction, transformation, loading and querying using services such as Azure AI Foundry, Databricks Genie or Snowflake Cortex,




• Experience in conducting data assessments across multiple data domains, including Product and Customer, and across systems of record such as ERP and CRM systems,




• Familiarity with Agile project management methodologies, such as Scrum, used to develop and scale minimum viable products,




• Exposure to Data Science and Data Analytics use cases, particularly Machine Learning and Generative AI applications supporting business forecasting and demand planning.

By joining us you gain:

• Work flexibility - hybrid working model (min. 2 days in the office per week), flexible start of the day, workation, sabbatical leave,




• Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops and conversations with native speaker,




• Wide medical and well-being program - a medical care package (incl. freedom of treatment, physiotherapy, discounts on dental care), coaching, mindfulness sessions, psychological support, education through dedicated webinars and workshops, financial and legal advice,




• 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.

Should you have any questions, please do not hesitate to reach out to us: [e-mail].
Please note that this email is not designated for application submissions.

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