Senior Data Engineer with SAP BW and Snowflake

Technologies we use

Expected

• SAP ABAP
• Snowflake Data Cloud
• dbt
• SQL
• Python

Optional

• Snowflake Data Cloud
• Databricks
• Microsoft Azure

About the project

The project supports a large international consumer goods company that is scaling its Snowflake-based data platform.

Selected datasets are moved from SAP BW into Snowflake one business case at a time to feed data products for sales and distribution, retail and market analytics, and e-commerce.

The platform is already critical to the business: hundreds of business users work every day with AI-powered analytics built on Snowflake Cortex and Streamlit.

This is how we organize our work

Team size

10-20

This is how we work

• you focus on a single project at a time
• you have influence on the technological solutions applied
• you have influence on the product
• you focus on product development
• agile

Team members

• backend developer
• technical leader
• architect
• devOps
• product owner
• project manager

Your responsibilities

• Design, build and run data pipelines from SAP BW into Snowflake, including full and delta loads
• Do hands-on engineering work while coaching the Engineering Manager and the team
• Help the Engineering Manager build engineering leadership skills: planning, code quality, technical decision-making, managing engineers and contractors
• Establish reusable ingestion, modeling and data quality patterns for the team
• Define and roll out engineering standards: code review, testing, CI/CD, documentation, delivery discipline
• Deliver data products for sales, distribution and retail analytics in close collaboration with business stakeholders
• Work with a distributed team of internal engineers and external contractors across time zones
• Reduce key-person dependency through knowledge transfer and pairing
• Help introduce AI-assisted and agentic engineering practices across the development lifecycle
• Work with the Lead Architect to keep delivery aligned with target architecture and governance

Our requirements

• 7+ years of hands on data engineering experience including lead roles
• Hands on experience extracting data from SAP BW into a cloud data warehouse
• Strong hands on experience with Snowflake including data loading performance cost awareness security and access model
• Experience with data modeling approaches such as dimensional modeling or Data Vault
• Experience with data quality practices
• Experience with dbt
• Experience leading a team of around 10 engineers
• Experience coaching a manager or team lead into an engineering leadership role through hands on collaboration
• Experience working with distributed teams and external contractors or vendors
• Experience applying AI in engineering or data work with a concrete example of problem solution tools and outcome
• English Upper Intermediate or higher
• Readiness to work on site in Southern California for 4–6 weeks at the start of the engagement
• A valid US visa, or the ability to obtain one quickly

Optional

• Experience with SAP BW/4HANA, SAP Datasphere or migrations from SAP to cloud platforms
• Snowflake Cortex, Streamlit or semantic layer experience
• CPG, retail or distribution domain; retailer data platforms or syndicated market data (POS, Nielsen-type datasets)
• Experience building an engineering operating model or data engineering maturity roadmap
• Exposure to Microsoft Fabric or Databricks
• Experience with international client-facing engagements

What we offer

• Vacation days: Up to 26 business days per year
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Certification reimbursement (AWS, GCP, Microsoft, etc.)
• Health and life insurance (Luxmed)

This is how we work on a project

• code review
• Continuous Deployment
• Continuous Integration
• documentation
• technical debt management
• integration tests
• performance tests
• test automation
• unit tests

Development opportunities we offer

• development budget
• external training
• intracompany training
• mentoring
• support of IT events
• technical knowledge exchange within the company

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• corporate products and services at discounted prices
• integration events
• coffee / tea
• drinks
• sharing the costs of tickets to the movies, theater
• employee referral program
• opportunity to obtain permits and licenses
• extra leave

DataArt Poland sp. z o.o.

Our client is a UK financial services group operating in a highly regulated environment, currently rebuilding its data and analytics capability as part of a wider platform modernisation programme.