My engineering experience taught me to value the human factor, something I take with me to the Pentasia team.
A trust-based relationship forms the basis of the most productive conversations, that lead to successful outcomes for both candidate and client alike.
We are seeking an experienced OLAP Data Warehouse Engineer to join our dynamic team in the iGaming & online casino industry. As an integral member of our team, you will be responsible for designing, implementing, and managing our on-premises DWH solutions, with a focus on ClickHouse and Superset. Your expertise will drive the development of scalable, high-performance data architectures essential for critical business functions. Main responsibilities: Design and deploy robust, scalable data warehouse solutions utilizing ClickHouse technology. Develop and maintain dashboards and reports in Superset to fulfill business reporting requirements effectively. Integrate streaming data technologies, including Kafka, to facilitate real-time data ingestion and analysis. Ensure the reliability, availability, and performance of data warehouse systems to meet business needs. Collaborate closely with data scientists and engineers to translate business requirements into technical specifications. Optimize data models and queries for enhanced performance and scalability. Desired experience and skillset: Experience with ClickHouse & Superset technologies. Strong background in streaming technologies, with a focus on Kafka. Experience in designing and managing on-premises data warehouse solutions. SQL and expertise in database optimization techniques. Familiarity with Python or other scripting languages is advantageous.
We are seeking a talented Data Streaming Engineer to join our innovative team in the iGaming & online casinos industry. As a key member of our team, you will be instrumental in building and supporting our on-premises data streaming architecture, ensuring the delivery of scalable, high-throughput, and reliable solutions crucial for real-time analytics and decision-making. Main responsibilities: Lead the design and implementation of scalable data streaming solutions using Apache Kafka, with a primary focus on on-prem deployments. Develop and maintain event-driven architectures and streaming ETL processes, integrating Apache Spark or Apache Flink for advanced data processing and analytics capabilities. Optimize on-prem data streaming solutions for performance, reliability, and scalability to meet evolving business needs. Establish robust support and maintenance protocols for our on-prem data streaming infrastructure, ensuring continuous operational efficiency. Spearhead efforts in securing data, implementing encryption, and compliance measures for on-prem data processing in adherence to industry standards. Troubleshoot and resolve issues in the data streaming architecture, providing expert guidance and technical support to the team. Stay updated on emerging technologies and tools in the streaming ETL and data processing space, evaluating their potential to enhance our system capabilities. Desired experience and skillset: Proven experience with Apache Kafka, event sourcing, and streaming ETL technologies, specifically tailored to on-prem deployments. Programming skills (Java, Scala, or Python). Preferred: Experience with Apache Spark or Apache Flink for data processing. Demonstrated capability in designing and supporting on-prem data streaming architectures, including performance optimization and troubleshooting. Deep understanding of data security, encryption, and compliance frameworks relevant to on-prem data processing. Exceptional problem-solving skills, effective communication, and project management abilities.
We are seeking a talented Real-Time Data Architect to join our team, specializing in the iGaming & online casinos. As a key member of our team, you will contribute to architecting, designing, and implementing cutting-edge data platforms to enhance our analytics and business intelligence capabilities. Main responsibilities: Architect and implement robust, scalable data architectures for streaming data, leveraging technologies such as Kafka for real-time data ingestion, ClickHouse for analytics, and Looker for data visualization. Develop strategies for data acquisition, archive recovery, and database implementation to ensure efficient data processing. Collaborate with data engineers and stakeholders to define and refine data models for scalability and performance optimization. Provide thought leadership on data architecture and technology, staying updated on emerging trends and technologies in the data space. Evaluation and adoption of new tools and technologies. Troubleshoot and optimize data systems to improve reliability and performance. Support the Data Science team by providing enriched data for AI solutions. Desired experience & skillset: Proven experience as a Data Architect, Data Engineer, or in a similar role. Expertise in Kafka, ClickHouse, and various data store technologies, with experience in Looker or similar data visualization tools. SQL and NoSQL databases. Solid understanding of data modeling, ETL processes, data warehousing principles, and data visualization techniques. Experience with cloud services (AWS, GCP, Azure). Capacity to work effectively with technical and non-technical teams alike.
My client, one of the big names in the iGaming industry, is currently looking for a skilled BI Analyst to join their dynamic team. This is a full time, 100% remote opportunity for candidates in Europe. Mian Responsibilities: Collaborate closely with designers, product owners, and stakeholders to maximize customer value. Conduct data analysis, interpretation, and visualization using BI tools, ensuring business performance monitoring and data quality. Work closely with cross-functional teams to understand business requirements and data needs. Analyze data to derive meaningful insights, identifying patterns, trends, and growth opportunities. Develop dashboards, reports, and data visualizations using internal tools to support User Experience initiatives. Monitor key performance indicators (KPIs) and metrics related to user journeys, providing suggestions for areas of improvement and actionable plans. Maintain data integrity through data quality assurance processes, including data validation and resolution of discrepancies. Propose and implement processes to enhance efficiency and effectiveness in BI operations. Desired experience and skillset: 3-5 years of experience working as a BI Analyst or in a similar role. Proficient in SQL with the ability to write complex queries. Tableau or similar. Experience working with Databases.
Sports Analytics Specialist My client, one of the big names in the iGaming industry, is currently looking for a skilled Quantitative Analyst to join their dynamic team. This is a full time, 100% remote opportunity for candidates in Europe. Main Responsibilities: Optimize processes and enhance efficiencies across various sportsbook practices, including margin control, sports betting solutions development, and statistical modeling. Conduct in-depth data analysis on large datasets covering player performance, team statistics, and game outcomes. Merge and analyze data from diverse sources to enrich modeling and analytical insights. Generate comprehensive reports based on data interpretation and analysis to support decision-making and recommendations. Develop statistical and predictive models to forecast game outcomes, player performance, and other relevant variables, considering various factors influencing sports events. Design and implement algorithms to automate processes, improve decision-making, and enhance operational efficiency in sports-related operations. Construct quantitative models and tools necessary for trading a wide range of sports, utilizing advanced techniques for continuous improvement. Conduct performance analytics to evaluate the effectiveness of teams, players, and strategies, facilitating data-driven decisions and product performance optimization. Qualifications: 3+ years of experience in a similar role. Understanding of the sports betting industry, trading, and sports modeling. Programming languages such as Python and SQL. Technical knowledge & understanding of software development processes. Statistical modeling, data visualization techniques, machine learning, & predictive algorithms. Experience in building mathematical models.
We are seeking a dynamic individual to lead our AI initiatives within our iGaming sector, working closely with our leadership team and reporting directly to our Chief Technology Officer. In this pivotal role, you will drive the integration of artificial intelligence to boost efficiency, minimize expenses, and sustain our competitive advantage. Main Responsibilities: Spearhead the formulation and execution of AI strategies to optimize gaming operations, elevate player engagement, and promote responsible gaming practices. Harness cloud platforms, with a focus on AWS, to deploy and expand AI solutions effectively. Collaborate with our technology unit to enhance productivity through AI-powered tools, encompassing game analytics, customer experience enhancement, and fraud prevention. Engage with various departments to enhance existing tools and systems with AI innovations, thereby amplifying efficiency and player contentment. Employ AI to scrutinize player data, facilitating personalized gaming experiences, refining game recommendation algorithms, and fortifying responsible gaming protocols. Develop and refine Large Language Models for diverse applications, including customer service chatbots and predictive gaming trends analysis. Stay updated on the latest AI breakthroughs and technologies, creatively integrating them to enrich game design, player engagement, and backend infrastructure. Continuously explore and assess new AI methodologies and tools, ensuring our organization maintains its technological leadership in the gaming domain. Provide strategic AI counsel to our leadership, emphasizing compliance with gaming regulations, player data protection, and ethical AI utilization. Desired experience & skillset: Experience constructing and training Large Language Models. Thorough understanding of AI and machine learning principles. Ability to oversee data security and maintain confidentiality. Aptitude for teamwork, communication, and leadership.
My client, in important iGaming company, is looking for a SRE in Malta. The main goal is to ensure that internal and external facing systems are always fully functional and secure. Main Responsibilities: Ensure the continuous availability and optimal performance of critical IT resources. Develop and implement security measures to safeguard systems and data. Establish protocols, programs, and documentation for the backup and recovery of operating systems and applications. Implement and maintain comprehensive system monitoring solutions. Resolve escalated service issues promptly and effectively. Offer technical support across various domains, including internal systems, cloud infrastructure, network operations, and virtualization. Contribute to the administration and upkeep of remote monitoring and management systems. Desired experience and skillset: 3 years of experience in similar roles or related fields. Experience with databases, proxies, networks (LAN, WAN), and patch management. Configuration management tools. Experience with log management and visualization, utilizing tools like the ELK stack. Competence in containerization and orchestration technologies (Docker). Hands-on experience with cloud platforms. Nice-to-Have Qualifications: Ability to create scripts and integrate them with automated solutions such as Ansible and Docker. Knowledge of system security This role has an on-call rotation schedule.
Job Description: As the Head of Business Intelligence (BI) in the iGaming industry, you will play a pivotal role in leveraging data analytics to drive insights, optimize processes, and enhance overall business performance. Reporting directly to the executive leadership team, you will be responsible for developing and executing BI strategies that align with the company's objectives and contribute to its long-term success. Key Responsibilities: Develop and implement a comprehensive BI roadmap that supports the company's strategic initiatives and business objectives. Lead a team of BI analysts and data scientists to design, develop, and maintain advanced analytics solutions and data visualizations. Collaborate with cross-functional teams, including product development, marketing, finance, and operations, to identify key performance metrics and data requirements. Drive the collection, aggregation, and analysis of data from multiple sources, including customer behavior, operational metrics, and market trends. Translate complex data insights into actionable recommendations and strategic initiatives to optimize user acquisition, retention, and monetization strategies. Monitor and evaluate the performance of business processes and initiatives using quantitative and qualitative analysis techniques. Stay abreast of industry trends, emerging technologies, and best practices in BI and data analytics, and recommend innovative solutions to enhance the company's competitive advantage. Establish and maintain robust data governance practices, ensuring data accuracy, consistency, and security across the organization. Foster a data-driven culture within the organization by promoting the value of data-driven decision-making and providing training and support to internal stakeholders. Partner with external vendors and service providers to access additional data sources and analytical tools to enhance BI capabilities. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Business Administration, or a related field; advanced degree preferred. Proven track record of 5+ years in a senior BI or analytics leadership role within the iGaming or related industry. Deep understanding of iGaming operations, including user acquisition, player lifecycle management, and regulatory compliance. Proficiency in data visualization tools (e.g., Tableau, Power BI) and data analysis languages (e.g., SQL, Python, R). Strong analytical and problem-solving skills, with the ability to interpret complex data sets and identify actionable insights. Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization. Experience managing and mentoring a team of BI analysts and data scientists. Knowledge of data warehousing concepts and ETL processes. Familiarity with cloud-based BI platforms (e.g., AWS Redshift, Google BigQuery) is a plus. Demonstrated ability to thrive in a fast-paced, dynamic environment and drive results under tight deadlines.