Tech Stack / Keywords
Firma i stanowisko
The project supports a large international consumer goods company that is scaling its Snowflake-based data platform. The client is headquartered in Southern California, USA. The data engineering team includes internal engineers and external contractors based in the US and South America, organized by data product. The team size is medium (10-20 people).
Wymagania
- 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
Nice to have:
- 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
Obowiązki
- 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
Benefity
- Up to 26 business vacation days per year
- 10 fully paid illness/special days off per year for all contract types
- Health and life insurance (Luxmed)
- 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 diverse catalog of internal training
- Flexible workplace: work from the office, from home, or choose a hybrid option
- 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.)
Elastyczne godziny
Karta sportowa
Opieka zdrowotna
Ubezpieczenie
Kursy językowe
Dofinansowanie szkoleń
Inne informacje
Valid US visa, or the ability to obtain one quickly, is required. Working on site in Southern California for the first 4–6 weeks is mandatory for this role.
DataArt
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