Senior Analytics Engineer

SpainOn-site

Responsibilities

Design and build curated analytical datasets, metric implementations, and semantic models that enable consistent self-service analytics across the company.
Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent single source of truth.
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.
Drive self-service adoption by creating foundations that allow analysts and business users to explore data safely and independently.

Strong SQL skills and proven
experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred; BigQuery, Redshift, and similar also valuable).
Solid understanding of data warehouse modelling and best practices — dimensional modelling, fact/dimension design, grains, slowly changing dimensions, and semantic consistency. •
Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust.
Experience with orchestration and workflow tooling (Airflow or similar). •
Experience with data cataloguing, lineage, and governance tooling (e.g., DataHub).
Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly. •
Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases.
Familiarity with streaming/event-heavy ecosystems (Kafka or similar). What we offer

Medical / Health Insurance Open Annual Leave
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision.

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! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
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.
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.
Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting.