Data Engineer

HCLTech is a global technology company, home to more than 226,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues of US $14.5B for 12 months ending December 2025.

About the Role

We are seeking a highly skilled Data Engineering professional with deep expertise in enterprise document processing, data platform architecture, and AI-enabled data solutions. The ideal candidate will have a strong background in designing and implementing scalable data ecosystems that leverage both structured and unstructured data to drive business insights, knowledge discovery, and intelligent search experiences. This individual will partner closely with business and technology stakeholders to deliver innovative, high-impact solutions while supporting the full product development lifecycle in an Agile environment.

You will collaborate with business stakeholders, product teams, architects, and developers to deliver reliable, secure, and high-quality data solutions while supporting enterprise integration, reporting, and AI-driven initiatives.

Required Skills & Experience

Proven experience delivering enterprise-scale document processing solutions, including OCR, metadata extraction, content enrichment, indexing, enterprise search, and knowledge discovery capabilities.

Strong Data Engineering expertise with a track record of designing, building, and optimizing scalable data pipelines, platforms, and processing frameworks.

Experience designing solutions that leverage both structured and unstructured data to enable AI, enterprise search, knowledge management, analytics, and data-driven insights.

Advanced hands-on experience architecting and implementing modern data lake solutions using Google Cloud Platform (GCP) and/or Databricks.

Working knowledge of graph databases and knowledge graph concepts to support enterprise search, knowledge discovery, and AI-powered use cases.

Strong foundation in data modeling, data structures, algorithms, and data integration practices to ensure efficient, scalable, and reliable data management.

Demonstrated experience applying DevOps practices, including CI/CD, automation, monitoring, deployment, and continuous improvement of data platforms and products.

Experience with workflow orchestration and automation tools to manage complex data processing, integration, and operational workflows.

Proven ability to support the full Product Development Lifecycle (PDLC), from requirements gathering and solution design through deployment, operational support, and continuous enhancement.

Knowledge of business intelligence concepts and tools, with the ability to transform data into actionable insights that drive business outcomes.

Strong business acumen with the ability to translate business requirements into scalable technical solutions aligned with organizational priorities.

Experience working in Agile environments, including SAFe, with a demonstrated ability to collaborate effectively across cross-functional and geographically distributed teams.

Excellent communication, stakeholder management, and influencing skills, with the ability to build alignment and drive outcomes across technical and non-technical audiences.th cross-functional teams to translate business requirements into scalable technical solutions.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.

7 years of professional experience in Data Engineering, Cloud Data Platforms, or Enterprise Analytics.

Strong experience with Microsoft Azure data services, including:

Azure Databricks

Azure Data Factory

Azure Data Lake Storage (ADLS Gen2)

Azure SQL

Azure Functions

Hands-on experience designing and implementing ETL/ELT pipelines and enterprise data integration solutions.

Strong knowledge of relational and NoSQL databases, including SQL Server and PostgreSQL.

Experience with Lakehouse and Medallion architecture patterns.

Advanced experience with Apache Spark and PySpark for distributed data processing.

Strong Python development skills, including data processing frameworks such as Pandas and NumPy.

Experience designing dimensional data models, including star and snowflake schemas.

Experience designing, developing, and consuming REST APIs.

Understanding of data preparation techniques for AI and Machine Learning solutions, including feature engineering and data labeling workflows.

Familiarity with analytics and visualization platforms such as Power BI or Tableau.

Experience working in enterprise environments with strong security, governance, and compliance requirements.

What we offer:

Food vouchers and social benefits package

Opportunity for career progression

Young and vibrant team environment

Competitive salary

Professional on-boarding and on-going trainings

Are you willing to build up your career with us? – We’ll be happy to receive your resume in English!

*Your personal data is secure with us.

** Only candidates selected for interview will be contacted

HCLTech is committed to protecting and securing the privacy and confidentiality of the Personal Data which it collects directly or indirectly from you when applying for a job at HCLTech either directly or through a third-party human resources agency. This notice (the “Notice”) outlines and explains how HCL Technologies Limited including its subsidiaries, local employing entities, associates, and affiliated companies [collectively referred to as “HCLTech”, “us,” “our”, or “we”] will process your Personal Data in accordance with applicable privacy legislation(s).