Data Engineer

Company Overview

We are a gaming and gambling solution software provider and industry leader in the USA, UK and Europe. Our partnership with global Gaming Companies has resulted in the development of cutting-edge technical platforms incorporating sportsbook, lottery, casino, virtual and financial trading.

Our Vision is to shape the future of gaming and transform experience from gaming operations into intelligent solutions that meet customer needs in the digital era and create value for all stakeholders in sustainable ways.

We value teamwork, knowledge sharing and transparency with accountability. We believe quality, ability and determination are vital ingredients in delivering success at Amelco and that you will be able to instil your imprint with us.

Role Overview

As a Data Engineer, you will design, build, and maintain scalable data pipelines and architectures that power our analytical and operational systems.

You’ll work closely with Data Analysts, BI Developers, and Software Engineers to ensure data quality, performance, and scalability across all environments — from real-time streaming to batch processing.

You’ll be part of a modern data ecosystem leveraging AWS, Snowflake, Spark, Airflow, and Kafka, supporting mission-critical reporting and predictive analytics across the business.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming large-scale data from multiple sources (betting, casino, player, finance, CRM, and external feeds).

• Implement data models and schemas (Bronze/Silver/Gold layers) in Snowflake / Redshift / Postgres, ensuring data consistency and governance.

• Work on real-time streaming and event-driven architecture using Kafka, Solace, or similar tools.

• Optimize SQL and Python-based data transformations for performance and scalability.

• Develop data validation, monitoring, and alerting frameworks.

• Collaborate with BI developers to deliver Power BI and analytical datasets.

• Partner with stakeholders across Trading, Finance, Compliance, and Risk to deliver high-impact data solutions.

• Contribute to data quality standards, documentation, and CI/CD automation of pipelines (GitHub).

Skills & Experience

Essential

• Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role.

• Strong proficiency in SQL and experience with relational databases (PostgreSQL, Snowflake, Redshift, BigQuery, etc.).

• Proven experience building ETL pipelines using Python (Pandas, PySpark, Airflow, or dbt).

• Solid understanding of data warehousing principles and dimensional modelling.

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

• Strong problem-solving skills and ability to work in fast-paced, data-intensive environments.

Desirable

• Experience with real-time data streaming (Kafka, Kinesis, or Pub/Sub).

• Knowledge of sports betting or iGaming data models (bets, markets, transactions, GGR, etc.).

• Exposure to data governance, data observability, or catalog tools

• Experience with CI/CD for data (GitHub Actions, Terraform).

• Familiarity with Power BI or other BI tools.

Our Offer

• Competitive salary

• B2B contract

• Hybrid work

• International projects

• Career growth opportunities

• Long-term working possibilities

• Friendly working atmosphere

• Dynamic culture surrounded by industry experts

• Flat structure

• No dress code

• High-end working space

• Free coffee, beverages, snacks, and fruit.

If you’re interested in joining our team, please submit your CV in English using the ‘Apply’ button.