Senior Data Engineer

Ventures Lab

Senior Data Engineer responsible for designing and building data infrastructure in iGaming and Fintech. Collaborate with cross-functional teams to ensure reliable data processing and analysis.

Posted 5/26/2026full-timeRemote • 🇲🇹 MaltaSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerETLGrafanaKafkaKubernetesPrometheusPythonSQLTerraform

About the role

Key responsibilities & impact

Design and implement robust, scalable data architecture to support the collection, storage, and processing of large volumes of igaming and customer data
Build and maintain efficient ETL and ELT processes to ensure seamless data ingestion from multiple sources into our data lake, DWH, and final consumers
Create and maintain well-structured data models that ensure accuracy, integrity, and optimal performance for analytical use cases following Kimball best practices
Collaborate with cross-functional teams to integrate data across systems, with several types of integration as API, Kafka, DB extractions, Webscrapping, Email, etc.
Develop and manage real-time data pipelines using streaming technologies (e.g., Kafka) to support time-sensitive use cases
Enforce data governance policies and best practices, ensuring high standards for data quality, security, and regulatory compliance
Continuously monitor, troubleshoot, and optimize data pipelines, queries, and infrastructure for speed, efficiency, and reliability
Support and expand production-grade orchestration workflows using Apache Airflow
Set up and maintain monitoring, alerting, and observability for data pipelines and systems using tools like Elementary, Datadog, Prometheus, or Grafana
Develop and maintain CI/CD pipelines for data projects using Bitbucket Pipelines or GitHub Actions, ensuring streamlined deployment and testing processes
Follow best practices in Git-based version control and work collaboratively in a modern DevOps environment.

Requirements

What you’ll need

5+ years of experience with Python, preferably including 2+ years working with Airflow
5+ years of experience with SQL in big data environments, preferably including 2+ years with dbt
4+ years in cloud environments, preferably with 2+ years each in Snowflake and AWS
2+ years of experience with data streaming platforms, preferably on Kafka
2+ years of hands-on experience with containerization (Docker, Kubernetes)
3+ years managing CI/CD pipelines, ideally using Bitbucket Pipelines or GitHub Actions
Deep understanding of data governance, data quality, and data lineage principles
Proficient in using monitoring and alerting tools such as Datadog, Prometheus, or Grafana
Solid experience with version control tools (Git) and IaaS (e.g., Terraform)
Strong communication and problem-solving skills, with a proactive and self-driven attitude.

Benefits

Comp & perks

Competitive salary synonymous with skills and experience
Performance and bonus structure dependent on achievement of set targets and personal performance
The opportunity to making a real impact at a time of rapid growth
Consultancy B2B contract on a full time basis with 25 days PTO

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLETLELTdata modelingdata governancedata qualitydata lineageCI/CDcontainerization

Soft Skills

communicationproblem-solvingproactiveself-driven