IT engineer Data Engineering

Continental; India; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Training opportunities

Mobile and flexible working models

Sabbaticals

Job summary

Continental in India is looking for a skilled Data Engineer to design and implement secure data ingestion pipelines from diverse systems including SAP and Salesforce. Ideal candidates have 5–8 years of experience in data engineering and a degree in Computer Science or related field. Responsibilities include developing extraction services in Python or Scala, ensuring data quality, and collaborating across teams. The role offers training opportunities, flexible working models, and a commitment to diversity and inclusion.

Qualifications

• 5–8 years in data engineering, with experience in structured and unstructured data.
• Proven implementation of ingestion frameworks and compliance interfaces.
• Experience mentoring or leading teams is a plus.

Responsibilities

• Design and maintain data ingestion pipelines from various systems.
• Build Python or Scala-based extraction services.
• Collaborate with IT and business users for scalable technical patterns.
• Implement a data quality framework with monitoring capabilities.

Skills

Data ingestion frameworks

Cloud platforms

Metadata automation

Python

Scala

Collaboration

Education

Degree in Computer Science or related field

Azure or Databricks certification

Tools

Debezium Server

Theobald Extract Universal

Job description

Job Description

• Design, implement, and maintain secure and scalable data ingestion pipelines from a wide variety of source systems, including SAP, SalesForce, SharePoint, APIs, and legacy manufacturing platforms.
• Build and enhance metadata-driven services that enable discoverability, access governance, and operational transparency of enterprise data.
• Serve as a technical expert and cross‑functional enabler for structured and unstructured data acquisition, quality, and compliance.
• Establish and maintain holistic data quality management, monitoring and reporting.
• Contribute to a global data engineering team delivering to all major business domains.
• Drive ingestion and metadata service implementation for over 100 enterprise data sources.
• Collaborate across business IT, cybersecurity, infrastructure, and architecture teams to ensure secure and sustainable delivery.

Main Tasks

• Build and maintain Python‑ or Scala‑based extraction services (e.g., Debezium Server, custom APIs, rclone).
• Implement CDC, delta, and event‑based patterns.
• Push‑based HTTP, Kerberos‑authenticated DLT delivery.
• Establish, operate and troubleshoot extraction from SAP using tools like Theobald Extract Universal.
• Integrate with systems such as Salesforce, SharePoint, and other API‑ or file‑based endpoints.
• Establish and maintain a business‑friendly, web‑accessible data catalog application, with dataset profiles, metadata, and usability features.
• Integrate dataset discoverability, preview/exploration options, and lineage information using Unity Catalog as a backend metadata system.
• Design and implement structured access request workflows including request submission, approval chains, audit trail, and enablement triggers.
• Perform design reviews with Cybersecurity.
• Ensure documentation and compliance for all interfaces and data ingress points.
• Manage audit and traceability requirements.
• Collaborate closely with IT and business users to translate requirements into scalable technical patterns.
• Serve as technical escalation point for complex source integration.
• Define and implement a multi‑layered data quality framework, including unit‑level, integration‑level, and cross‑pipeline validation rules.
• Establish centralized and version‑controlled storage of DQ rules, with integration into orchestration and CI/CD pipelines.
• Implement automatic DQ monitoring with severity levels (Critical, High, Medium, Low) and enable flagging, filtering, and quarantining logic at relevant stages of the pipeline.
• Collaborate with source system owners and business stakeholders to define meaningful and actionable DQ thresholds.

Additional Information

The well‑being of our employees is important to us. That's why we offer exciting career prospects and support you in achieving a good work‑life balance with additional benefits such as:

• Training opportunities
• Mobile and flexible working models
• Sabbaticals

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

Qualifications

• Degree in Computer Science, Data Engineering, or a related field. Azure or Databricks certification is a plus.
• 5–8 years in data engineering, with hands‑on experience in ingesting structured and unstructured enterprise data into modern cloud platforms.
• Proven implementation of source system ingestion frameworks, metadata automation, and compliance‑controlled interfaces.
• Experience mentoring junior developers or leading implementation workstreams is a plus; contributes to engineering standards and code quality improvement initiatives.
• Comfortable working across geographies and time zones; collaborates effectively with global teams and enterprise stakeholders.