Rzeszów, Rzeszow, Podkarpackie Voivodeship, Polska
PwC
29. 1. 2025
Informacje o stanowisku
technologies-expected :
Python
SQL
Databricks
Azure Data Factory
Cloud
Snowflake
responsibilities :
Designing conceptual and logical data models and developing these into physical data models to enable enterprise data platforms,
Building relational, distributed, hierarchical, object-orientated and NoSQL databases and configuring level of granularity, degree of normalization and relationships between data entities therein,
Creating data entity diagrams and data workflows across multiple data domains, systems of record and data assets,
Supporting Data Architects to design modern data architecture for enterprise data platforms that rely on harmonized, standardized and enriched data,
Working alongside a team of data engineers to extract, load and transfer data from legacy systems of record to systems of reference i.e., reports, applications, dashboards,
Conducting comprehensive data assessments across multiple systems to identify and remediate data quality issues,
Continuing to develop expertise in data transformation tools such as Databricks, Snowflake, and Azure Fabric to build physical data models,
Sharing perspectives on data modelling techniques and frameworks, to help train and develop the wider Cloud & Digital team,
Developing data standards and policies specifically around Master Data Management and Data Quality.
requirements-expected :
Minimum of 5 years in cloud data modelling and 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, Azure Fabric etc.,
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,
Application of data modelling frameworks including Kimball dimensional modelling to design and build logical and physical data models,
Proficiency in Business English at B2 level or above, with confidence to write technical documentation e.g., designing documents with support from Project Manager,
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,
Experience in building data warehouses, data lakes and data lakehouses using tools like Azure Data Factory and Azure Synapse Analytics,
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.
offered :
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.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
life insurance
employee referral program
Employee Assistance Program
birthday day off
additional benefits e.g. medical pet care, lunch pass
