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Big Data Engineer – BI Specialist
MultipleBusiness Intelligence specialist designing and building modern data platforms for iGaming company. Collaborating with data architects to create analytical solutions in a growing team environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering and Analytics, with a strong focus on BI Tooling Evaluation, Data Architecture, and Engineering Standards. Proficient in building scalable data models and self-service dashboards while ensuring data quality and reliability across cloud-based platforms.
Highest-signal resume keywords
Data Engineering ExperienceBI Tooling ExperienceAdvanced SQL SkillsCloud Data Platforms ExperienceData Quality Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringAnalytics EngineeringBI EngineeringData ModellingSQLDimensional ModellingData Transformation PipelinesData ValidationData MonitoringData Architecture
Soft Skills
Cross-Team CollaborationOwnershipAutonomyProblem-SolvingCommunication
Tools & Technologies
Qlik SensePower BILookerTableauApache SupersetMetabaseAWSGCPAzureSnowflake
Industry Keywords
IGamingData-Driven CultureKPI FrameworksEmbedded AnalyticsSelf-Service Dashboards
Tech Stack
Tools & technologiesAmazon RedshiftApacheAWSAzureBigQueryCloudGoogle Cloud PlatformOracleSQLTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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.
Benefits
Comp & perks- 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
- €1,000 Refer a friend bonus
- Relocation package (if required)
- One day birthday holiday