Requirements: English
Company: PwC
Region: Torun , Kuyavian-Pomeranian Voivodeship
technologies-expected :
Azure
Cloud
Databricks
Snowflake Data Cloud
SQL
Azure Data Factory
responsibilities :
Overseeing the creation of data models to enable the delivery of the intended business architecture,
Creating data entity diagrams and data workflows according to the inventories of data assets,
Defining the flow of data through the data platform from the point of ingestion to the point of presentation,
Designing the migration plans for moving data from legacy systems of record to systems of reference i.e., new solutions,
Designing and helping to build modern data architecture for enterprise data platforms that rely on harmonized, standardized and enriched data,
Conducting comprehensive data assessments across multiple systems of record and data domains to identify and remediate data quality issues,
Interfacing senior stakeholders and leveraging expertise in data transformation tools such as Databricks, Snowflake, and Azure Fabric to create modern data architecture,
Acting as the Technical Lead on data transformation projects and support a muli-faceted team of data engineers, data modellers and data analysts to help them design and build target state architecture,
Developing and sharing perspective on modern data architecture, as part of the training and development effort,
Helping the wider Data team to create data standards and policies and specifically around Master Data Management and Data Quality,
Building data warehouses and data lakes using tools like Azure Data Factory, and insights into Data Science and Data Analytics use cases within the context of Consumer Goods, Retail, Manufacturing and/or Financial Service sectors will stand out.
requirements-expected :
Minimum of 5 years in data architecture 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.,
Experience in building data warehouses, data lakes and data lakehouses using tools like Azure Data Factory and Azure Synapse Analytics,
Proficiency in Business English at B2 level or above, with confidence to write technical documentation e.g., designing documents with support from Project Manager.
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
flexible working time possible
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