Technical Lead
Sweden
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Job Description
Technical Lead
Malmo, Skåne län

Job Summary

The Data Engineer will design, build, and maintain scalable data pipelines, data models, and cloud-based infrastructure supporting Content Management capabilities. The role contributes to Content Insights, AI-enabled use cases, and DAM data layers, ensuring a sustainable data foundation aligned with business objectives and transformation goals.

Key Responsibilities

Data Engineering & Pipeline Development

  • Design, build, and maintain reliable data pipelines for CMS, DAM, and Content Insights platforms.
  • Develop ETL/ELT workflows to ingest, transform, and distribute data efficiently.
  • Ensure scalability, performance, and reliability of data processing systems.

Data Modelling & Architecture

  • Create and maintain data models supporting analytics and AI/ML use cases.
  • Structure datasets for Content Insights, DAM reporting, and AI pipelines.
  • Ensure consistency, reusability, and maintainability of data structures.

Cloud Platform (GCP)

  • Develop and manage data solutions on Google Cloud Platform (GCP).
  • Work with BigQuery and data pipeline tools to store and process large datasets.
  • Maintain performance and scalability of cloud data infrastructure.

Data for AI & Insights

  • Support data needs for content insights, analytics, and AI-enabled capabilities.
  • Enable datasets for image classification, ratings & reviews, and user-generated content analysis.
  • Collaborate with Data Scientists and MLEs to support machine learning workflows.

Data Quality & Governance

  • Ensure data quality, accuracy, and integrity across pipelines and systems.
  • Implement monitoring, validation, and governance practices.
  • Support sustainable and maintainable data architecture.

Cross-functional Collaboration

  • Collaborate with Product Owners, Engineers, Data teams, and stakeholders.
  • Support cross-functional initiatives across Growth & Marketing and related domains.
  • Contribute to Agile delivery cycles and team objectives.

Skill Requirements

Required Skills & Experience

  • Strong experience with Python and SQL.
  • Experience with BigQuery, dbt, and GCP.
  • Hands-on experience in data pipeline development and data modelling.
  • Understanding of ETL/ELT processes and data warehousing.
  • Experience in Agile and cross-functional environments.
  • Business-level English communication skills.

Preferred / Nice-to-Have Skills

  • Experience with AI/ML pipelines and data for analytics.
  • Knowledge of CMS/DAM ecosystems or marketing data platforms.
  • Experience with large-scale data systems and cloud architectures.

 

Other Requirements

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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 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 as of 12 months ending June 2026 totaled $14.8 billion.