Senior Data Engineer

On behalf of our client, a global leader in digital product development, we are currently looking for a Senior Data Engineer to join their innovative and collaborative team. This is a fantastic opportunity for an experienced data professional who thrives in cross-functional environments and is passionate about building scalable, cloud-based data solutions.

About the Company

Our client specializes in designing and delivering powerful, beautiful, and intuitive digital solutions. With a focus on quality and collaboration, they partner with enterprise clients to build products that are technically sound and user-centric. Their work culture values ownership, impact, and continuous improvement, blending engineering excellence with creative problem-solving.

Role Overview

The Senior Data Engineer will play a crucial role in architecting and developing modern data infrastructure, working closely with internal teams and external stakeholders to deliver data-driven value across multiple projects.

Key Responsibilities:

Leadership & Stakeholder Engagement

• Act as a technical lead on projects, collaborating with sales, delivery teams, and clients.
• Take ownership of the technical design and architecture of data solutions.

Data Engineering & Architecture

• Design, implement, and manage scalable cloud-based data pipelines.
• Develop robust data models, SQL queries, and ETL/ELT processes.
• Work with technologies such as Python, Scala, Java, Spark, Databricks, and Snowflake.
• Design solutions aligned with data lake or lakehouse architecture.
• Leverage modern cloud platforms (AWS, Azure, or GCP).

Quality & Optimization

• Implement data validation, testing, and performance tuning to ensure data integrity.
• Optimize data storage and processing in cloud environments.

Documentation & Knowledge Sharing

• Create clear and comprehensive technical documentation.
• Contribute to internal knowledge-sharing initiatives, such as community tech talks.

Candidate Requirements

• Proven experience in data engineering, with exposure to BI or MLOps.
• Strong working knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with tools such as Databricks, Snowflake, or DataVault.
• Proficiency in Python and SQL; experience with Spark is highly valued.
• Solid understanding of data warehousing and modern data stack concepts.
• Strong communication skills and a proactive, solution-oriented mindset.

What’s On Offer

• A chance to be part of a global tech organization focused on innovation.
• Hybrid work model with flexibility to work remotely.
• Additional medical insurance (includes gym membership), team-building activities, and outreach programs.
• Ergonomic and modern workspaces when in-office.
• Ongoing learning and development opportunities, including access to Udemy and more.

Business Intelligence (BI) | SQL | Cloud | Python