PwC

Cloud Data Engineer

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MidHybryda·WarszawaFull-time

#469726·Dodano 7 dni temu·2

Źródło: PwC

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Tech Stack / Keywords

Microsoft FabricDatabricksAzure Data FactoryPython PySpark SQLAzure DevOpsJira SnowflakeAzure Synapse

Podsumowanie oferty

As part of PwC Poland’s Data, Digital Solutions & AI team, you will build data platforms, including data lakehouses, warehouses and lakes. You will define data flows and support modern data architecture work using Microsoft Fabric, Databricks and Azure Data Factory.

Wymagania

At least 3 years of experience in Data Engineering roles or other relevant areas, such as Business Intelligence or Data Science.
Hands-on experience with data transformation platforms, preferably Microsoft Fabric and Databricks; experience with Snowflake, Azure Synapse or Google BigQuery is also valued.
Experience building data warehouses, data lakes and data lakehouses using tools such as Azure Data Factory and Azure Synapse Analytics.
Experience writing data transformation scripts using Python, including PySpark, and using SQL to query databases.
Experience with Data Engineering CI/CD practices and release management across Development, QA and Production environments using tools such as Azure DevOps and/or Jira.
Polish and Business English proficiency at B2 level or above, including the ability to prepare technical documentation with support from a Project Manager.
Experience with new technologies and AI-based tools in daily work, for example task automation, information analysis and content creation.

Nice to have:

Cloud certifications in Azure, AWS or Google Cloud.
Experience applying data modelling frameworks, including Kimball dimensional modelling, to design and build logical and physical data models.
Interest in and initial experience with Agentic AI solutions for automating data extraction, transformation, loading and querying using services such as Azure AI Foundry, Databricks Genie or Snowflake Cortex.
Experience conducting data assessments across multiple data domains, including Product and Customer, and across systems of record such as ERP and CRM systems.
Familiarity with Agile project management methodologies such as Scrum, used to develop and scale minimum viable products.
Exposure to Data Science and Data Analytics use cases, particularly Machine Learning and Generative AI applications supporting business forecasting and demand planning.

Obowiązki

Build data platforms with data lakehouses, data warehouses and data lakes using tools such as Microsoft Fabric, Databricks and Azure Data Factory for data extraction, loading and transformation.
Define data flows across data platforms, from raw ingestion to business-ready consumption, using suitable data architecture patterns such as medallion or lambda architecture.
Design migration plans for moving transactional and master data from legacy systems of record to target solutions.
Conduct data assessments with Data Modelers and Analysts across systems of record and data domains to identify and remediate data quality issues.
Liaise with senior client stakeholders and support Senior Data Architects in gathering functional requirements and designing modern data architectures.

Benefity

Flexible start of the day.
Workation and sabbatical leave.
Support during onboarding, mentoring from experienced colleagues, training sessions and workshops.
Conversations with a native speaker.
Medical care package, including freedom of treatment, physiotherapy and discounts on dental care.
Coaching, mindfulness sessions, psychological support, educational webinars and workshops, and financial and legal advice.
Option to create an individual benefits package, including a lunch pass, insurance packages, concierge service, veterinary package for a pet and massages.
Access to a cafeteria with vouchers and discounts on IT equipment and car purchases.
3 paid hours for volunteering per month.
Additional paid birthday day off.

Elastyczne godziny

Szkolenia wewnętrzne

Kursy językowe

Opieka zdrowotna

Ubezpieczenie

Concierge

Płatny urlop

Inne informacje

Recruitment process: submit your resume, have a short phone conversation with a recruiter, then attend an interview.

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