Senior Data Engineer

About the Role Are you ready to architect the data backbones that power high-scale digital products? We are seeking a Senior Data Engineer to design, build, and optimize robust real-time streaming architectures and scalable data pipelines. This is a high-impact opportunity to turn complex data streams into actionable, performance-driven solutions within a fast-paced, cutting-edge ecosystem.

About the Client Our partner is a premier tech company building next-generation product engineering across the Fintech, iGaming, and Marketing sectors. They excel at turning innovative ideas into high-performing engines and launching them at scale. As their exclusive recruitment partner, Lionhires manages their full-cycle talent acquisition, connecting top-tier tech talent with this thriving, forward-thinking team.

What You Will Do

Architect Data Models: Develop and implement advanced data models tailored to business requirements, ensuring maximum performance, reliability, and scalability.

Orchestrate Pipelines: Design, build, and maintain complex, scalable data pipelines utilizing Apache Airflow.

Drive Real-Time Streaming: Implement and manage Kafka-based streaming data pipelines for real-time processing and seamless integration across various systems.

Integrate Ecosystems: Connect third-party databases and APIs to ensure a unified and cohesive data flow.

Ensure Data Health: Establish proactive monitoring, alerting, and maintenance procedures to guarantee the health, security, and reliability of all data pipelines.

Collaborate Cross-Functionally: Partner closely with data scientists, analysts, and key business stakeholders to deeply understand and execute on complex data requirements.

What You Bring

Core Tech Stack Proficiency: Strong expertise in Python and SQL, alongside a deep understanding of advanced data manipulation and transformation techniques.

Data Architecture Expertise: Proven experience with modern data warehousing and advanced data modeling techniques.

Orchestration & Streaming Mastery: Hands-on experience designing, building, and maintaining complex pipelines with Apache Airflow, combined with a practical track record of implementing Kafka-based streaming architectures.

Proven Track Record: A strong background in data engineering roles, specifically focused on deploying scalable data solutions using Snowflake or Redshift.

Problem-Solving Mindset: The ability to navigate complex data ecosystems and translate business needs into robust technical infrastructure.

What's in It for You

Career Evolution: Excellent growth opportunities within a highly dynamic, international environment.

Health & Wellness: Comprehensive medical insurance for both you and your partner, plus a dedicated sports package to support a healthy lifestyle.

Work-Life Balance: 20 working days of paid annual vacation, plus paid sick leave to ensure you rest and recharge.

Continuous Learning: Partial compensation for language courses to help you broaden your global communication skills.

Premium Office Life: Work from a comfortable, facility-rich office in a prime location, fully stocked with daily snacks and refreshments.

Celebrations & Perks: Special company gifts for your milestones (birthdays, weddings, and newborns) alongside exciting corporate events, team-building activities, and international company parties.