Data Engineer

HCLTech is a global technology company, home to more than 227,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, 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 & Services, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. Consolidated revenues as of 12 months ending March 2026 totaled $14.7B

Build and operate scalable data pipelines and data products on an Azure lakehouse, using strong engineering practices and high ownership.

Must have

familiar with data warehousing, modeling, lakehouse concepts, data formats and security excellent SQL skills good python skills databricks experience very familiar with Git, CI/CD, shell programming and software engineering best practices

Nice to have dbt spark declarative pipelines

Power BI (semantic model and modeling)

Soft skills

Analytical mindset, Proactive, independent, excellent communicator, continuous improvement mindset, ownership, drive to take on new challenges and move topics forward.

Tech stack

Azure, Azure DevOps, Databricks (Unity Catalog, automation bundles), dbt, PySpark, Power BI, Power Automate, MQ, Qliksense

Why Us?

• We are investing in your growth, offering learning and career development opportunities at every level to help you find your spark;
• We offer a virtual-first work environment, promoting a good work-life balance and real flexibility;
• Our company is extremely diverse with representation of 165 nationalities;
• We offer the opportunity to work with colleagues across the globe;
• We offer comprehensive benefits for all employees;
• We are a certified great place to work and a top employer in 25 countries, offering a positive work environment that values employee recognition and respect.

Please note that we will contact only those candidates who are selected for further consideration.