Senior Data Engineer(SAP Datasphere)

TidyHire; Hyderabad; Hybrid; INR 2,000,000 - 4,200,000; Full time

Job summary

TidyHire seeks a Senior Data Engineer (SAP Datasphere) to design and operate robust, governed data ingestion and modeling pipelines from SAP modules into SAP Datasphere. You will harmonize master/transactional data and support analytics across Finance, Supply Chain, and Maintenance.

Ideal candidates have 5–8 years in data engineering with SAP data integration, strong SAP Datasphere experience, and fluency in English. You will collaborate with global teams in a multi-national environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science / IT / Engineering (or equivalent experience).
• 5–8 years of experience in data engineering and/or SAP data integration.
• Strong expertise in SAP Datasphere (modeling, ingestion patterns, authorizations, operational aspects).
• Strong SQL skills and data modeling capability (dimensional and/or data product approaches).
• Experience with SAP domains FI/CO, SD, MM, PM and data governance concepts.

Responsibilities

• Design and implement data ingestion from SAP FI/CO, SD, MM, PM into SAP Datasphere using standard approaches.
• Define delta logic, data refresh strategies, reconciliation controls, and monitoring.
• Ensure secure connectivity and enterprise standards for data pipelines.
• Build and maintain reusable, governed data models in SAP Datasphere.
• Collaborate with SAP functional teams and data governance to ensure compliant, scalable data products.
• Act as bridge between SAP domains and analytics teams to deliver reliable datasets.

Skills

SAP Datasphere

Data Modeling

SQL

SAP Integration

Operational Excellence

Education

Bachelor’s or Master’s degree in Computer Science / IT / Engineering

Tools

Databricks

SAP Datasphere

SAP Certifications

Job description

Be yourself – Charlie makes interviews comfortable and conversational

Interview Process

Quick video chat with Charlie, our AI interviewer

1

Verify your identity

Email and mobile verification

2

Mic and camera check

3

Chat with Charlie

Brief conversation about the role

4

We'll be in touch soon

Step -1 of 4

This is an AI‑powered experience; despite best efforts, responses may at times be unexpected or inaccurate.

Skills & Keywords

Required Skills

SAP Datasphere Data Modeling SQL SAP Integration Operational Excellence

Good to have

Databricks DevOps SAP Certifications

Job Description

Role & responsibilities

Job Description – Senior Data Engineer (SAP Datasphere)

Experience 5–8 Years

Role Purpose

With 11,600 employees of 47 nationalities and industrial operations across Europe and Brazil, is a global leader in stainless and electrical steel. Through our different data programs (Tobias, AI accelerate, Data modernization), we are accelerating digital transformation by building a central cloud data platform and “single source of truth” enabling analytics and use cases across domains such as Finance, Supply Chain, Procurement, Maintenance, Quality, Energy and Reliability.

To strengthen our SAP-to-cloud data foundation, we are looking for a SAP Datasphere Specialist / Data Engineer who can design and operate robust, governed and scalable data ingestion and modeling pipelines from SAP FI/CO, SD, MM and PM into SAP Datasphere (and downstream consumption layers where applicable).

You will be responsible for ingesting, harmonizing and modeling SAP business data in SAP Datasphere (and related SAP integration components), ensuring high-quality, secure and reusable data products for reporting, analytics and advanced use cases. You will collaborate with SAP functional experts, data governance, architecture and platform teams to define extraction patterns, semantic models, authorizations, and operational standards.

Responsibilities

Key Responsibilities

Design and implement data ingestion from SAP FI/CO, SD, MM, PM source systems into SAP Datasphere, using the appropriate integration approach (e.g., ODP-based extraction, CDS/OData patterns, replication flows, integration/connector options, or other standardized corporate tooling).

Work with SAP technical/functional stakeholders to define delta logic, data refresh strategies, reconciliation controls, and operational monitoring.

Ensure secure connectivity and enterprise standards (e.g., Cloud Connector, network/security constraints, access management).

2) Data modeling & semantic layer (Datasphere)

Build and maintain reusable, governed data models in SAP Datasphere (data layers, business entities, analytical datasets) aligned with corporate standards.

Harmonize SAP master and transactional data across plants/entities (e.g., company codes, plants, materials, vendors, customers, cost centers, profit centers).

Support a consistent semantic approach for consumption (Power BI, SAC, other analytics tools), enabling standardized KPIs and cross-domain reporting.

Implement data validation and reconciliation checks (e.g., financial totals, document counts, key-field completeness, referential integrity).

Define and maintain runbooks, monitoring, alerting and incident resolution processes for SAP data pipelines.

Optimize performance and cost: extraction efficiency, model performance, partitioning/filtering strategies, and workload management.

4) Governance, security & documentation

Apply best practices for authorizations, role-based access, and governed data sharing in SAP Datasphere.

Contribute to metadata, lineage and documentation standards; produce clear technical specifications (interfaces, transformations, controls, mapping rules).

Collaborate closely with Data Governance, Architecture, Cloud/Platform teams, and SAP CoE to ensure compliance and standardization.

5) Cross-functional collaboration

Act as a bridge between SAP functional teams (FI/CO, SD, MM, PM) and data/analytics teams to translate business requirements into robust data products.

Support use-case teams by providing curated, reliable datasets and guidance on SAP data meaning and limitations.

5–8 years experience in data engineering and/or SAP data integration, ideally in manufacturing/industrial environments.

Strong expertise in SAP Datasphere (modeling, ingestion patterns, authorizations, operational aspects).

Solid knowledge of SAP domains and data concepts in:

FI/CO (GL, controlling objects, cost/profit centers, postings, profitability concepts)

MM (purchasing, inventory movements, material valuation concepts)

PM (maintenance orders, notifications, technical objects)

Strong SQL skills and data modeling capability (dimensional and/or data product approaches)

Proven experience with operational robustness: monitoring, incident handling, reconciliation, documentation, and continuous improvement.

Comfortable working in a multi‑stakeholder, international environment; strong communication and structured approach.

Fluent in English (written and spoken).

Preferred Skill

Experience with S/4HANA extraction patterns (e.g., CDS-based approaches, delta mechanisms, and SAP standard extraction concepts).

Experience integrating SAP Datasphere with broader platforms (e.g., Databricks / lakehouse, API-based sharing, enterprise catalogs).

Familiarity with DevOps practices applied to analytics engineering (versioning, transport governance, automated testing where feasible).

Knowledge of French, Portuguese, or Dutch.

Relevant SAP certifications (Datasphere / BW / HANA) are a plus.

Qualifications

Bachelor’s or Master’s degree in Computer Science / IT / Engineering (or equivalent experience).