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.
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