We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Data Engineer at Ventures Lab. Location Information: Bulgaria - Remote. . We are looking for a Senior Data Engineer to join our growing Data team and play a key role in shaping and scaling our data infrastructure. This position is ideal for a highly skilled and motivated engineer who thrives in a fast-paced iGaming environment and is passionate about building robust data systems that power business-critical decisions.. . Reporting directly to the Head of Data, you will take ownership of a wide range of engineering responsibilities—from building and maintaining new data integrations (batch and streaming), to automating . pipelines. and designing scalable data models. This role is pivotal in offloading the day-to-day engineering tasks and driving long-term data excellence across the company.. . Tasks. . . Data Architecture. : Design and implement robust, scalable data architecture to support the collection, storage, and processing of large volumes of iGaming and customer data.. . ETL. Development. : Build and maintain efficient ETL and ELT processes to ensure seamless data ingestion from multiple sources into our data lake, DWH, and final consumers.. . Data Modeling. : Create and maintain well-structured data models that ensure accuracy, integrity, and optimal performance for analytical use cases following Kimball best practices.. . Data Integration. : Collaborate with cross-functional teams to integrate data across systems, with several types of integration as API, Kafka, DB extractions, Webscrapping, Email, etc.. . Streaming & Real-Time Processing. : Develop and manage real-time data pipelines using streaming technologies (e.g., Kafka) to support time-sensitive use cases.. . Data Quality & Governance. : Enforce data governance policies and best practices, ensuring high standards for data quality, security, and regulatory compliance.. . Performance Optimization. : Continuously monitor, troubleshoot, and optimize data pipelines, queries, and infrastructure for speed, efficiency, and reliability.. . Pipeline Orchestration. : Support and expand production-grade orchestration workflows using Apache Airflow.. . Observability & Monitoring. : Set up and maintain monitoring, alerting, and observability for data pipelines and systems using tools like Elementary, Datadog, Prometheus, or Grafana.. . CI/CD and Automation. : Develop and maintain CI/CD pipelines for data projects using Bitbucket Pipelines or GitHub Actions, ensuring streamlined deployment and testing processes.. . Version Control & Collaboration. : Follow best practices in Git-based version control and work collaboratively in a modern DevOps environment.. . . Requirements. . . 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. . . Competitive . salary. synonymous with skills and experience. . Performance and bonus structure dependent on achievement of set targets and personal performance. . Consultancy contract within EU on a full time basis with 25 days PTO. . or employment contract if you are based in London, Sofia or Malta. . .