Cloud Data Engineer

Job Description & Summary

As a global leader in cloud services, PwC is supported by PwC Poland’s Cloud & Digital team. We provide first-class services in all areas of Cloud Computing, Cloud Strategy, Cloud Migrations, Data Analytics, and DevOps just to name a few of our core capabilities. We support clients in the transition to and their adoption of cloud infrastructure, creation of new business models and streamlining their operational activities. To get a better insight into the PwC Poland C&D capability please refer to PwC Digital Foundations Hubs as per LINK.

We are looking for: Cloud Data Engineer

Your future role:

• Building data platforms with critical components including data warehouses and data lakes using tools like Azure Databricks, MS Fabric, and Azure Data Factory for extraction, transformation and loading
• Defining the flow of data through data platform from the point of ingestion to the point of presentation at the semantic layer using medallion architecture
• Designing the migration plans for moving transactional and master data from legacy systems of record to systems of reference i.e., new 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 client senior stakeholders and supporting Senior Data Architects to gather functional requirements to design modern data architecture
• Supporting Data Governance subject matter experts to define data standards and policies and specifically around Master Data Management and Data Quality
• Some familiarizations with Data Science and Data Analytics use cases within the context of Consumer Goods, Retail, Manufacturing and/or Financial Service sectors will stand out

Apply if you have:

• Minimum of 3 years in data engineering roles, although this can be considered alongside other relevant experience e.g., Business Intelligence, Data Science etc.
• Hands-on experience of using data transformation tools e.g., Databricks, Snowflake, BigQuery, MS Fabric etc.
• Experience in building data warehouses, data lakes and data lakehouses using tools like Azure Data Factory and Azure Synapse Analytics
• Familiarity with writing data transformation scripts using Python i.e. PySpark and SQL to query databases
• Some experience in Data Engineering CI/CD practices and release management across Dev, QA and Production environments using tools like Azure DevOps, and/or Jira
• Proficiency in Business English at B2 level or above, with confidence to write technical documentation e.g., designing documents with support from Project Manager
• Experience with new technologies and AI‑based tools demonstrated in your daily work (e.g., task automation, information analysis, content creation)

Nice to have:

• Cloud certifications in Azure, AWS, or Google Cloud
• Data Governance certifications e.g., DAMA
• Evidence of training using online platforms e.g. Coursera, Udemy, Datacamp etc.
• Application of data modelling frameworks including Kimball dimensional modelling to design and build logical and physical data models
• Interest and some experience of experimenting with the application of Agentic AI to automate the extraction, transformation and loading of data using services like Azure Foundry
• Proven experience in conducting data assessments across multiple data domains, including Product, and Customer and systems of record e.g. ERPs and CRMs
• Experience of working on Data Strategy and Governance projects with a focus on improving Data Quality across key business functions
• Familiarity with agile project management methodologies like Scrum to enable and scale minimal viable products
• Some exposure to Data Science and Data Analytics use cases, particularly in the applications of Machine Learning and Generative AI techniques to help improve business forecasting, and demand planning
• Experience in supporting senior stakeholders including Chief Data Officers in medium to large sized businesses across sectors such as Manufacturing, Consumer Goods, and/or Financial Services

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. freedom of treatment, physiotherapy, discounts on dental care), 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, 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:

• Talk to our recruiter on a short HR screening call
• Get to know us better during the interviews (technical interview and cultural fit interview)