Senior Data Engineer

HCLTech is a global technology company, home to 220,000+ 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.
We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high-performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud. This role focuses on building reliable, cloud-native data products that enable advanced reporting, analytics, and decision-making across the organization.
Key Responsabilities:
Build scalable data pipelines: Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting.
Develop SQL and BigQuery solutions: Write and optimize advanced SQL transformations and build performant, cost‑efficient BigQuery data models.
Develop Python workflows: Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high‑quality code.
Design data models and ensure quality: Build robust data models and apply validation practices to maintain accuracy and reliability.
Build cloud‑native data solutions: Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms.
Optimize performance and reliability: Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance.
Collaborate using strong engineering practices: Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards.
Required Skills and Experience:
5+ years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems.
Strong expertise in SQL and hands‑on experience building performant datasets in BigQuery (or similar cloud data warehouses).
Proven experience with Python and PySpark for scalable data processing in distributed environments.
Solid understanding of data modeling, ELT/ETL patterns, and data quality best practices.
Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services.
Hands‑on experience building scalable data pipelines (batch and near real‑time) in a cloud‑native environment.
Proficiency with version control, CI/CD pipelines, and automated testing frameworks.
Ability to troubleshoot and optimize performance across compute, storage, and processing layers.
Bonus Skills
Experience with Infrastructure-as-Code (Terraform, Ansible, Chef).
Knowledge of shell scripting.
Experience in financial services or regulated environments
What do we offer?
1066 RON monthly budget in Benefit Online Platform
25 vacation days/year.
Life Insurance cover.
The employees working on bank holidays will benefit either a paid day off in the next 30 days + 100% of the hourly base salary for that specific day OR 200% of the hourly base salary for that specific day.
Childbirth allowance of 7000 RON after 1 year in HCLTech.
In the first 8 weeks, the company will pay the difference of up to 100% for the parental leave granted to pregnant employees.
Unfortunate events allowance of 7000 RON for first degree relative granted from day 1 in HCLTech.
Internal trainings and certifications.
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).
Candidate Data Privacy Notice | HCLTech

Work arrangement
Yes