Jobtitle:

Data Engineer

We’re seeking a Data Engineer to design, build, and optimize the data infrastructure that powers analytics, machine learning, and strategic decision-making at vyking. 

Apply now

Job Description

At Vyking, data is at the heart of every decision we make — from powering analytics and machine learning models to driving strategic growth. We’re looking for a Data Engineer to design, build, and optimize the data infrastructure that enables these capabilities across the company.

In this role, you’ll work across the full data stack: defining architecture, building and maintaining ETL/ELT pipelines, and modeling data to ensure accessibility, scalability, and performance. You’ll collaborate with data scientists, analysts, and engineers to deliver reliable, high-quality data that supports both product innovation and business insight.

If you’re passionate about solving complex data challenges, architecting robust systems, and creating a foundation for data-driven success, we’d love to have you on the team.

Essential Job Tasks

  • Design and implement scalable, high-performance data architectures. 

  • Build and maintain ETL/ELT pipelines for clean, reliable data ingestion and transformation. 

  • Develop optimized data models (relational and dimensional) for analytics and reporting. 

  • Manage and tune databases for speed, cost, and scalability. 

  • Collaborate with analysts and scientists to deliver accurate, actionable insights. 

  • Support data visualization initiatives and dashboard creation. 

  • Implement data validation and monitoring processes to ensure quality and consistency. 

  • Continuously improve infrastructure through automation and innovation.

What we’re looking for:

  • 4+ years of experience as a Data Engineer, Data Modeler, or similar data-focused role. 

  • Expert-level proficiency in SQL and database design principles. 

  • Experience with data architecture and ETL/ELT pipelines. 

  • Familiarity with cloud data platforms (AWS, GCP, Azure, Oracle). 

  • Strong understanding of data modeling, normalization, and star/snowflake schemas. 

  • Excellent analytical and problem-solving abilities. 

  • Experience with big data frameworks (Spark, Hive, Flink, Redshift, Snowflake, BigQuery). 

  • Proficiency in Python for data manipulation and automation. 

  • Familiarity with streaming data technologies (Kafka, Kinesis, Pub/Sub). 

  • Experience in the gaming or iGaming industry and understanding of KPIs (LTV, Churn, GGR). 

Preferred Industries: 
Previous experience in iGaming, fintech, or large-scale online platforms is a plus

Soft Skills 

  • Analytical Thinking: Approaches complex data challenges methodically to uncover efficient, scalable solutions.

  • Attention to Detail: Ensures accuracy, consistency, and reliability across all data processes and systems.

  • Collaboration: Works effectively with data scientists, analysts, and cross-functional teams to align on goals and deliver value.

  • Problem-Solving Mindset: Identifies bottlenecks, proposes improvements, and optimizes data workflows proactively.

  • Communication: Clearly explains technical concepts and data architectures to both technical and non-technical stakeholders.

  • Adaptability: Thrives in a fast-paced environment, learning and implementing new technologies as needed.

  • Ownership & Accountability: Takes responsibility for the quality, performance, and reliability of data systems end-to-end.

Why Join Vyking 

  • Build and scale modern data infrastructure that drives business insights. 

  • Collaborate with talented data scientists and engineers on innovative projects. 

  • Enjoy a supportive environment that values growth, autonomy, and excellence. 

  • Competitive salary, benefits, and career development opportunities.

Apply now