Cloud Data Engineer

Description

The company is a global IT services provider. Its Data, Digital Solutions and AI team in Poland offers services across data platforms, data analytics, data strategy and data management.

The team helps clients adopt modern data infrastructure, build new business models and make their operations leaner.

Responsibilities

• Build data platforms that include lakehouses, data warehouses and data lakes, using Microsoft Fabric, Databricks and Azure Data Factory for extraction, loading and transformation.
• Map data flows across platforms, from raw ingestion to business-ready use, applying architecture patterns such as medallion or lambda.
• Plan the migration of transactional and master data from legacy systems of record to new target solutions.
• Run detailed data assessments with data modelers and analysts across several systems and data domains to find and fix data quality issues.
• Work with senior client stakeholders and support Senior Data Architects in gathering functional requirements and designing modern data architectures.

Requirements

• At least 3 years of experience in data engineering or related areas such as business intelligence or data science.
• Hands-on work with data transformation platforms, preferably Azure-based ones such as Microsoft Fabric and Databricks. Experience with Snowflake, Azure Synapse or Google BigQuery is also valued.
• Experience building data warehouses, data lakes and data lakehouses with Azure Data Factory and Azure Synapse Analytics.
• Experience writing transformation scripts in Python, including PySpark, and SQL queries for databases.
• Experience with data engineering CI/CD and release management across Development, QA and Production, using Azure DevOps and/or Jira.
• Polish and Business English at B2 level or higher, with the ability to prepare technical documentation with support from a Project Manager.
• Experience using new technologies and AI-based tools in daily work, such as task automation, information analysis and content creation.
• Cloud certification in Azure, AWS or Google Cloud.
• Experience applying Kimball dimensional modelling to design and build logical and physical data models.
• Interest in and early experience with Agentic AI solutions that automate data extraction, transformation, loading and querying, using services such as Azure AI Foundry, Databricks Genie or Snowflake Cortex.
• Experience running data assessments across multiple domains, including Product and Customer, and systems such as ERP and CRM.
• Familiarity with Agile methods such as Scrum, used to build and scale minimum viable products.
• Exposure to data science and analytics use cases, especially machine learning and generative AI for business forecasting and demand planning.

Conditions

Hybrid work with at least 2 days in the office per week.

Flexible start of the working day.

Workation and sabbatical leave are available.

Benefits

• Full onboarding support, mentoring from experienced colleagues, training sessions, workshops and conversations with a native speaker.
• Medical care package including freedom of treatment, physiotherapy and discounts on dental care.
• Well-being program with coaching, mindfulness sessions, psychological support, webinars and workshops, and financial and legal advice.
• Individual benefits package to choose from, such as a lunch pass, insurance, concierge service, veterinary package for a pet and massages, plus cafeteria access with vouchers and discounts on IT equipment and car purchase.
• 3 paid volunteering hours per month.
• An additional paid day off on your birthday.
• Referral option for friends once you have settled in.