Cloud Data Engineer

Job Description & Summary

As a global leader in cloud services PwC is supported by PwC Polands 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 AIbased 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:

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

Send your application today! In case you have any additional questions contact us:

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