SAP Data Analytics Consultant
SAP Data Analytics Consultant
Posted 3 days ago
SENIORITY
Lead
About the role
- 8+ years in Data & Analytics / Data Engineering in enterprise environments.
- Hands-on experience with: SAP S/4HANA data models and ERP data extraction
- Azure Data Lake Storage (ADLS Gen2)
- Azure Databricks (SQL-based data engineering)
- Teradata
- SAP Datasphere (working knowledge)
- SAP BTP for data integration and orchestration
- SAP Datasphere (Business Data Cloud) experience preferred.
- Knowledge of Informatica ETL for enterprise data integration and ingestion pipelines.
- Strong understanding of batch and near-real-time data ingestion patterns.
- Experience delivering end-to-end data pipelines from source to analytics consumption.
- Ability to work cross-functionally and communicate clearly with technical and non-technical stakeholders.
- Individual contributor with technical leadership accountability with a focus on continuous process improvement throughout the project lifecycle.
- Proactive approach with strong coordination and execution emphasis, focused on release- and outcome-driven delivery.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
