Team Lead - Data Warehousing

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Μόνιμη
Πλήρης Απασχόληση

Πριν 12 ώρες

Sportserve forms part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first class sports betting experiences and casino products for our users worldwide. Along with Sportion, TechSpirit, Standard Focus and Sportelligent, we are the driving force behind the world renowned sports betting company and our flagship brand, Dafabet.Since launching our global hiring initiative, we now employ over 2,000 people worldwide, offering exciting career paths in Technology, Trading, Operations and Media. We pride ourselves on having a diverse and international culture that embraces the global community and acts locally. We offer office based, hybrid and remote work on permanent and consultancy contracts all over the world, making us the true global employer of choice.We're hiring a Data Warehousing Team Lead to drive the development, maintenance, and support of our large-scale data platforms. In this role, you'll lead a team responsible for designing and delivering mission-critical data warehousing and analytics solutions, overseeing ETL pipelines, real-time streaming, and batch processing across multiple game franchises.You'll collaborate with engineers, analysts, and data scientists to ensure solutions are highly performant, scalable, and reliable, while also taking ownership of data governance, DevOps practices, and process improvements. This is a hands-on leadership opportunity where you'll guide engineering efforts end-to-end, from strategy and planning through to execution and delivery, shaping the future of our data ecosystem.What you'll be getting up to:

Lead the development, maintenance, and support of data warehousing solutions across various business areas.
Oversee the design, deployment, and maintenance of mission-critical analytics solutions that process large-scale data efficiently.
Manage and contribute to the development of data ingestion, real-time streaming, batch processing, and ETL processes across multiple game franchises.
Collaborate closely with engineering teams to ensure that solutions meet customer requirements in functionality, performance, availability, scalability, and reliability.
Work with business analysts and data scientists to understand and support their use cases.
Perform and oversee development, QA, and DevOps tasks to ensure end-to-end responsibility for data solutions.
Design and maintain data systems and databases, addressing any coding or data-related issues.
Extract, transform, and load data from various sources, organizing it for easy analysis by humans or machines.
Utilize statistical tools to analyse data sets, focusing on trends and patterns valuable for diagnostics and predictive analytics.
Present data-driven insights to executive leadership, preparing dashboards and reports that communicate key trends and predictions.
Collaborate with engineers and leadership to identify opportunities for process improvements, recommend system modifications, and develop data governance policies.
Create documentation to enable stakeholders to understand and replicate data analysis processes.
Select appropriate datasets and methods for data representation, staying updated on industry developments.
Provide immediate solutions during incidents, identifying probable causes and resolving issues.
Work within an agile environment, contributing ideas to enhance application usability and functionality.
Engage in research and application of artificial intelligence and machine learning technologies.
Lead engineering efforts from planning and organization to execution and delivery to solve complex, real-world problems.

Skills and Experience:

Expertise in data tools and architectures, including BigQuery, Firestore, PostgreSQL, and MSSQL.
Proficient in Python and related frameworks (e.g., Flask, AIOhttp), with advanced knowledge of SQL queries.
Experience with NoSQL databases, telematics interfaces, and streaming solutions (e.g., MQTT, NiFi, Kafka).
Familiarity with cloud platforms such as Google Cloud Platform; GCP certification is a plus.
Strong understanding of data structures, data modelling, and software architecture.
Experience in multi-threading, message queues, WebSockets, and CI/CD pipelines (e.g., GitLab, SonarQube, Artifactory, Docker).
Proven ability to build high-performance, highly available, and scalable systems.
Excellent analytical and problem-solving skills, with the ability to work in a team and manage multiple priorities.

Requirements:

Bachelor's degree in Computer Science or a related technical field, or equivalent work experience.
3-5 years of relevant experience in data warehousing, distributed software systems, and/or big data technologies.
Expertise in BigQuery, PostgreSQL, Firestore, and MSSQL.
Experience in AI, ML models, ML infrastructure, NLP, or deep learning is a plus.
Strong communication skills in both oral and written English.
A solid grasp of established and emerging technologies, with a curiosity and willingness to learn new skills.
Ability to work in a fast-paced, delivery-oriented environment, balancing short-term results with long-term strategic solutions.
A self-starter with a team-oriented mindset, eager to help others succeed.
We warmly invite applications in English.

Diversity & Inclusion at SportserveAt Sportserve, we are deeply committed to fostering a diverse and inclusive workplace. We believe in building a team that reflects a wide array of backgrounds, skills, and perspectives. Embracing diversity not only enriches our work culture but also drives innovation and excellence. We are proud to be an equal opportunity employer, where everyone's contribution is valued and respected.If you're a passionate about technology and looking to start your career in an international, forward-thinking Sports Betting company, we'd love to hear from you. Apply now to become part of our exciting journey!

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