Senior Data Engineer with SAP BW and Snowflake

Miejsce pracy: Warszawa

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
Fully paid idle (bench) when not involved in a project
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.

By applying, I consent to the processing of my personal data for the purpose of conducting the recruitment process. Informujemy, że administratorem danych jest DataArt Poland Sp z o o z siedzibą w Lublinie, Ul. Zana 39 a, 20-601 Lublin (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją

Senior Data Engineer with SAP BW and Snowflake

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