Data Engineer / Data Scientist – SAP Data Migration & Transformation

Data Engineer / Data Scientist – SAP Data Migration & Transformation

Posted 1 day ago by K2 Partnering

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Negotiable
Undetermined
Hybrid
Paris, France
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Apache Spark Artificial Intelligence Azure Databricks Bank Reconciliations Databricks Data Engineering Data Extraction Data Governance Data Migration Data Modeling Data Pipeline Data Quality Data Science Data Structures Data Transformation Extract Transform Load (ETL) Financial Services Management Python (Programming Language) Reconciliation SAP Applications SQL (Programming Language) Stakeholder Management Technical Documentation Workflows

Summary: The role of Data Engineer / Data Scientist focuses on supporting a strategic data transformation initiative by consolidating and modernizing the enterprise data landscape. The consultant will bridge SAP data domains and a Databricks-based data platform, ensuring data quality and readiness for analytics. Key responsibilities include designing ETL processes, preparing datasets for migration, and collaborating with various stakeholders. The position requires strong technical skills in data engineering and experience with SAP data extraction and transformation.

Key Responsibilities:

  • Analyze and understand SAP data structures across business domains.
  • Design and implement data extraction, transformation, and loading (ETL/ELT) processes from SAP to Databricks.
  • Prepare, cleanse, enrich, and validate large datasets prior to migration.
  • Develop scalable data pipelines and transformation workflows.
  • Ensure data quality, reconciliation, and consistency throughout the migration lifecycle.
  • Collaborate with business stakeholders, SAP teams, and data platform teams.
  • Support data modeling and optimization activities within Databricks.
  • Contribute to migration strategy, testing, and deployment activities.
  • Produce technical documentation and knowledge transfer materials.

Key Skills:

  • Strong experience as a Data Engineer or Data Scientist in enterprise environments.
  • Proven experience working on SAP data extraction, migration, or transformation projects.
  • Hands-on expertise with Databricks.
  • Strong SQL and Python development skills.
  • Experience with ETL/ELT frameworks and data pipeline development.
  • Solid understanding of data quality, data governance, and reconciliation processes.
  • Experience handling large-scale datasets and complex transformation logic.
  • Knowledge of Delta Lake, Spark, and modern data architectures.
  • Experience working in cloud-based data platforms.
  • Strong stakeholder management and communication skills.

Salary (Rate): undetermined

City: Paris

Country: France

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Location

Paris (2 days per week onsite)

Duration

6 months + possible extension

Language

English (French is a plus)

Mission Context

As part of a strategic data transformation initiative, the client is consolidating and modernizing its enterprise data landscape. The mission focuses on extracting, transforming, preparing, and migrating data from SAP systems into a central Databricks-based data platform.

The consultant will act as a bridge between SAP data domains and the modern data platform, ensuring data quality, consistency, and readiness for analytics, reporting, and AI use cases.

Key Responsibilities

  • Analyze and understand SAP data structures across business domains.
  • Design and implement data extraction, transformation, and loading (ETL/ELT) processes from SAP to Databricks.
  • Prepare, cleanse, enrich, and validate large datasets prior to migration.
  • Develop scalable data pipelines and transformation workflows.
  • Ensure data quality, reconciliation, and consistency throughout the migration lifecycle.
  • Collaborate with business stakeholders, SAP teams, and data platform teams.
  • Support data modeling and optimization activities within Databricks.
  • Contribute to migration strategy, testing, and deployment activities.
  • Produce technical documentation and knowledge transfer materials.

Required Skills & Expertise

  • Strong experience as a Data Engineer or Data Scientist in enterprise environments.
  • Proven experience working on SAP data extraction, migration, or transformation projects.
  • Hands-on expertise with Databricks.
  • Strong SQL and Python development skills.
  • Experience with ETL/ELT frameworks and data pipeline development.
  • Solid understanding of data quality, data governance, and reconciliation processes.
  • Experience handling large-scale datasets and complex transformation logic.
  • Knowledge of Delta Lake, Spark, and modern data architectures.
  • Experience working in cloud-based data platforms.
  • Strong stakeholder management and communication skills.

Profile

  • 5+ years of experience in Data Engineering, Data Science, or Data Migration projects.
  • Ability to translate SAP business data into modern analytical data structures.
  • Comfortable working across both technical and functional teams.
  • Autonomous, delivery-oriented, and hands-on.
  • Experience in financial services or large enterprise environments is a plus.

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