Gerry Riera.

Sub banner
Gerry Riera

Gerry Riera.

Senior Recruitment Consultant

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.

Latest Gerry Riera Jobs.

Data Product Analyst

Posted today
  • europe
  • £60000

Data Product Analyst -Remote • 100% Remote • B2B in Europe or regular employment in the UK • Up to €70,000 / £60,000 A leading company in the online gaming and betting industry is looking for a mid-to-senior level Product Analyst to join their team remotely. This role focuses on supporting product teams with analytics, reporting, and actionable insights to drive strategic decisions. Main Responsibilities: • Actively participate in business initiatives from the product perspective, including evaluating potential business impact, defining data and reporting needs, and developing frameworks to measure success. • Design and implement reporting solutions in Tableau and other tools to analyze the performance of product features, customer journeys, and behavioral metrics such as conversion funnels. • Scope, plan, and perform A/B tests and various analyses, translating results into clear, actionable recommendations for product stakeholders. • Contribute to the development and deployment of a robust analytics layer for A/B testing processes. • Take ownership of maintaining and enhancing reporting systems and dashboards used by product teams. Desired experience: • Strong command of applied statistics, including experimental design, analysis of time-series and cross-sectional data, and sound knowledge of probability concepts. • Proficiency in R, Python, or similar open-source programming languages for data analysis and manipulation. • Excellent SQL skills and experience building dashboards in Tableau, alongside solid abilities in Excel and other MS Office applications. • Effective communicator with the capability to explain technical analyses and insights to nontechnical audiences and to produce clear technical documentation or specifications. • Well-organized, capable of managing multiple projects simultaneously, and delivering results within set timelines.

Reporting Manager

Posted today
  • europe
  • £80000

• 100% Remote b2b • up to 82K euros + Bonus We are looking for someone who has a few years of experience in managing a small team, possesses strong project management skills, and is familiar with tools such as Tableau, SQL, and other reporting technologies. Main Responsibilities: • Oversee the technical landscape of reporting tools (e.g. Tableau, automated reporting), including administration, setting development standards, and maintaining performance and stability. • Lead projects aimed at improving reporting efficiency, such as system consolidations, speed enhancements, or data migrations. • Manage and mentor the Reporting team. • Conduct reporting sprints, retrospectives, and handle user access processes for reporting tools. • Collaborate closely with Analytics teams to interpret and execute requirements. • Work with Data Engineering to ensure data availability, centralize KPI definitions, and adapt to data warehouse changes. Desired experience: • Strong analytical skills with the ability to define data requirements. • Confident communicator, capable of explaining technical concepts to non technical audiences and writing clear specifications. • Proven experience managing multiple projects and deadlines. • Background in team leadership. • Self-driven, proactive, and eager to learn. • Degree in a quantitative or scientific discipline. • Proficiency in SQL, Tableau, Excel, and Microsoft Office. • Experience with R or Python (or similar tools) is highly desirable.

Head of Data Engineering

Posted 3 days ago
  • £90000

Head of Data Engineering A company in the online sports betting and gaming sector is seeking a Head of Data Engineering to join their team. This role involves both strategic leadership and hands-on technical engagement, contributing to the design, scalability, and efficiency of data solutions supporting business insights and analytics. Main Responsibilities: Manage day-to-day activities of engineering initiatives within the Business Intelligence domain, including participating in project planning and defining architectural approaches. Provide direct line management and mentorship to data engineers, supporting career development and team cohesion. Run agile ceremonies such as engineering sprints and retrospectives, and assist in post-incident analysis to drive continuous improvement. Maintain technical responsibility for the BI technology stack, including overseeing data governance processes, ensuring data quality and consistency (e.g. managing data contracts and schema changes), defining engineering standards, and promoting system stability and performance. Lead efforts around upgrades, migrations, and reducing technical debt. Foster collaboration with Data Science and Reporting teams, ensuring their data needs are met and their solutions are deployed effectively. Coordinate with other Technology teams on projects that span multiple departments to ensure seamless integration and alignment. Desired experience: Solid background managing teams of data engineers, including coaching and performance management. Significant practical experience in data engineering, covering: Developing Python applications for data-related solutions. Using version control and CI/CD tools such as GitHub or GitLab. Working with cloud environments, preferably Google Cloud Platform, and services like BigQuery, Kubernetes, and Firestore. Configuring cloud infrastructure through tools like Terraform. Implementing messaging technologies such as Kafka or Pub/Sub for data pipelines. Working with NoSQL technologies like MongoDB or Firestore. Writing and optimizing complex SQL queries, particularly for platforms like BigQuery or Snowflake, capable of handling large-scale and intricate data sets. Utilizing orchestration tools such as Airflow, Luigi, or Cloud Composer for managing workflows and data pipelines.