Senior Analytics Engineer
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world!
At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters. You will be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry.
- Design and build curated analytical datasets, metric implementations, and semantic models that enable consistent self-service analytics across the company.
- Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures.
- Partner closely with product, data scientists, and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs.
- Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent single source of truth.
- Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting.
- Promote reuse over reinvention - identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on.
- Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements.
- Apply engineering rigour to analytics - treat semantics as code, utilising version control, testing, automation, and CI/CD practices to manage the lifecycle of business logic.
- Drive self-service adoption by creating foundations that allow analysts and business users to explore data safely and independently.
- Work embedded within Data Engineering squads, collaborating daily with data engineers and analysts on shared foundations and end-to-end delivery.
- Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred; BigQuery, Redshift, and similar also valuable) (required).
- Solid understanding of data warehouse modelling and best practices - dimensional modelling, fact/dimension design, grains, slowly changing dimensions, and semantic consistency (required).
- Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust (required).
- A production mindset: care for reliability, maintainability, documentation, and operational ownership - not just creating a dataset once (required).
- Strong ownership and collaboration skills - able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams (required).
- Excellent communication skills with a pragmatic, problem-solving approach (required).
- Experience with orchestration and workflow tooling (Airflow or similar) (preferred).
- Experience with data cataloguing, lineage, and governance tooling (e.g., DataHub) (preferred).
- Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly (preferred).
- Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases (preferred).
- Familiarity with streaming/event-heavy ecosystems (Kafka or similar) (preferred).
- Medical / Health Insurance (required).
- Open Annual Leave (required).
- Employee Assistance Programme (required).
- Training & Learning Development (required).
Superbet, which operates under the Super Technologies banner, is a multinational sports betting and gaming group founded in 2008 in Romania by Sacha Dragic. Headquartered in Bucharest, it began with retail betting shops and has grown into one of the leading omni-channel betting operators in Central and Eastern Europe, with a strong focus on digital products. The group employs more than 5,000 people and operates across around a dozen European markets as well as Brazil. Its offices span Romania, Poland, Serbia, the UK, the Netherlands, Belgium, Spain, Croatia, Brazil, Malta and Gibraltar.
