Senior Business Intelligence Engineer

Who are we?

Welcome to Multiple (https://themultiple.com), your go-to iGaming service provider. We’re here to empower iGaming operators, allowing them to thrive in such a volatile industry. Our years of expertise, cutting-edge technology, and passion for delivering extraordinary player experiences make us the right choice for any company looking to elevate their success. We offer a range of iGaming offerings such as; Gaming Services, Casino Marketing, Sportsbook Marketing and Operations, Creative, Data and B.I, Operations (CS, RPF, KYC), VIP Management, Acquisition, Social Media, Content, Product, Legal and Compliance.

The Role

We are building a modern data capability within our B2B and B2C iGaming organization and are forming a small, high-caliber core team of data engineers who will design, build, and scale our data platform. Rather than growing a large team immediately, we are intentionally starting with a lean nucleus of experienced engineers, each operating with significant ownership and technical influence.

This team will define the architecture, standards, and engineering practices that will support the company’s data ecosystem as it scales. This role is our Business Intelligence specialist within that nucleus. While every engineer is expected to build strong-to-excellent skills across the full data platform, this engineer will be the point of contact for the analytics and BI layer. As our platform matures, your focus is the presentation layer that turns curated data into trusted, self-service insight for the business.

Your first major task is choosing the BI tooling itself. The decision is genuinely open and should be driven by evaluation criteria, not by familiarity with any one tool. You will work closely with the Head of Data and the Data Architect, and will deliberately keep business logic in the platform’s modelling layers rather than in reporting scripts. Because our BI approach may evolve over time, we value strong, transferable analytics-engineering fundamentals over expertise in any single product.

This role is ideal for engineers who thrive in high ownership environments, enjoy turning complex, high-volume data into clear and reliable insight, and want to help build a modern data platform and analytics capability from the ground up.

Key Responsibilities

Lead BI Tooling Evaluation & Selection

• Own the BI tooling selection end-to-end — requirements, POCs, vendor engagement, and a final, defensible recommendation.
• Keep the decision led by criteria, not familiarity with any one product.

Build & Own the BI Consumption Layer

• Build and own a layered, governed consumption layer with reliable refresh and incremental loads.
• Deliver the data model, applications, and self-service dashboards for technical and non-technical users.

Data Architecture & Engineering Standards

• Shape the long-term data and analytics platform strategy with the Head of Data and Data Architect.
• Own BI engineering standards, building scalable, maintainable, resilient systems.

Self-Service Enablement & Data Products

• Enable key stakeholder such as: Marketing, Finance, Product, and Operations to answer their own questions.
• Build reusable data products — curated datasets, KPI frameworks, embedded analytics.

Data Quality & Reliability

• Implement validation, testing, monitoring, and observability across datasets and metrics.
• Ensure integrity and accuracy so reported numbers can be trusted.

Cross-Team Collaboration

• Partner across engineering, analytics, and product to deliver reliable datasets.
• Act as the point of contact for BI while supporting a data-driven culture.

Requirements

Strong Data & Analytics Engineering Experience

• Minimum 5+ years of experience in data engineering, analytics engineering, or BI engineering roles.
• Proven experience designing and building scalable data models and transformation
• pipelines that power analytics and reporting.

BI Tooling Experience & Tool Selection

• Hands-on delivery experience with one or more enterprise BI tools such as Qlik (Qlik Sense/QlikView), Power BI, Looker, Tableau, Apache Superset, or Metabase
• Demonstrated ability to run a structured tool evaluation or procurement — defining requirements and weighted criteria, running POCs, assessing TCO, licensing, security, and scalability, and making a clear, defensible recommendation.

Advanced SQL & Data Modelling Fundamentals

• Expert-level SQL and strong understanding of dimensional modelling (star/snowflake schemas, facts, dimensions, marts) — enough to read, validate, and reason about the platform’s existing curated layers.
• Strong, transferable, tool-agnostic BI fundamentals so expertise remains valuable as our BI approach evolves over time.

Cloud Data Platforms & Modern Data Architectures

• Experience working with cloudbased data platforms such as AWS, GCP, Azure, or Oracle Cloud Infrastructure (OCI).
• Hands-on experience with modern analytical data platforms and warehouses, including technologies such as Snowflake, BigQuery, Redshift, Databricks, ClickHouse, or Oracle Autonomous Database.

Engineering Mindset & Ways of Working

• Comfortable working in small, high-impact engineering teams with strong ownership and autonomy.
• Strong focus on automation, reliability, and scalable engineering practices.

Industry Experience

• Experience working in iGaming.

What we offer

• Attractive remuneration package
• Health insurance cover from the first day of work
• Wellness benefit (after probation)
• Optician/Spectacle and Blue Lens Benefit (after probation)
• Breakfast/lunch all week
• Monthly snacks allowance
• Training support
• Modern office facilities
• Dog-friendly workplace
• Exciting Company Events
• Monthly Beer Fridays
• Eur1,000 Refer a friend bonus
• Relocation package (if required)
• One day birthday holiday

You should not apply if ...

• You want a normal 9-5 job. This role is not easy & requires an all-in mentality. We are looking for team members who will put in the work that others won't.
• You cannot take constructive feedback.
• You cannot handle stress and pressure.
• You have the mindset of "Quick Money", this is a marathon, not a sprint.
• You do not embody our core values.