2,474 Open roles
96 Companies
52 Posted today
Jobs / SuperBet / Senior Data Engineer
This job is no longer available.

This position has been closed.

Posted 2026-05-06

Senior Data Engineer

Description

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. Are you excited about building modern data infrastructure that powers self-service analytics and high-quality data products at scale? 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 closely with product, analysts, data scientists, and engineering teams to measure what matters. You’ll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

Responsibilities
  • Design, build, and evolve scalable ETL/ELT pipelines for high-volume, fast-changing datasets
  • Own medium-to-large data initiatives end-to-end, from requirement shaping and technical design to production rollout and ongoing improvement
  • Model reliable, analytics-ready data using proven warehouse methodologies such as Kimball, Inmon, or similar approaches
  • Develop and maintain curated analytical layers, semantic models, and data marts that enable self-service and trusted decision-making
  • Orchestrate robust workflows using tools such as Apache Airflow and improve reliability, observability, and maintainability of data pipelines
  • Partner with software engineers, analysts, product managers, and business stakeholders to translate ambiguous requirements into scalable data solutions
  • Proactively identify data quality, performance, and modeling issues and drive improvements before they become business problems
  • Contribute to architecture and engineering decisions within your domain, balancing speed, quality, and long-term maintainability
  • Mentor less senior data engineers through code reviews, design discussions, documentation, and day-to-day guidance
  • Raise the engineering bar through testing, automation, CI/CD practices, clear documentation, and thoughtful technical standards
Requirements
  • Strong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical models
  • Deep understanding of dimensional modeling methodologies and modern data warehouse design in platforms such as Snowflake, BigQuery, or similar
  • Experience owning projects independently and driving delivery across multiple stakeholders or teams
  • Solid experience with orchestration tooling such as Airflow, Dagster, or similar
  • Strong understanding of data quality, lineage, observability, and operational excellence in a data engineering environment
  • Ability to take ambiguous business problems and turn them into clean, maintainable, well-documented data solutions
  • Experience working with cloud platforms, preferably AWS, though Azure or GCP experience is also valuable
  • Confidence influencing technical decisions within your team and collaborating effectively with both technical and non-technical stakeholders
  • Strong communication skills and a collaborative, problem-solving mindset

Bonus points for:

  • Experience with event-driven source systems
  • Experience with cloud-native analytical databases like Snowflake, BigQuery, Databricks
  • Familiarity with semantic layers, metrics modeling, and enabling data products beyond traditional BI reporting
  • Exposure to experimentation-driven or product-led environments
  • Experience with data governance, cataloging, and documentation practices such as DataHub
  • Experience improving developer productivity through tooling, shared frameworks, or reusable patterns
  • Multi-cloud exposure and understanding of platform trade-offs
About SuperBet

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.

Read more about SuperBet →

Similar Active Jobs
Light & WonderDataSydney, Australia

Graduate Mathematician

A Graduate Mathematician is sought to utilise advanced mathematical and statistical concepts to analyse data and solve business problems. The role involves performing complex statistical analysis, constructing predictive models, and designing experiments to generate data. Projects may focus on quantitative finance or identifying new business opportunities.

On-siteFull-timeInternEnglish
2026-07-02
Bet365DataStoke-on-Trent, United Kingdom

Data Scientist, Sports

The Data Scientist, Sports role involves developing probabilistic models that power real-time betting markets. This position requires working with extensive datasets to determine odds and inform in-play betting decisions. The role is part of the Quantitative Analysis department, focusing on data-driven insights and sophisticated mathematical models. The company offers a fast-paced environment with opportunities for technical growth and innovation.

HybridFull-timeMid-levelEnglish
2026-07-02
Bet365DataManchester, United Kingdom

Data Scientist, Sports

The Data Scientist, Sports role focuses on developing probabilistic models that power real-time betting markets. This position involves using statistical techniques and machine learning algorithms to create predictive models and algorithms for sports betting. The role is hybrid, based in Manchester, and offers opportunities for technical growth and innovation within a fast-paced environment.

HybridFull-timeMid-levelEnglish
2026-07-02
AristocratDataNorth Ryde, Australia

Sustainability Reporting Specialist

This role supports the delivery and continuous improvement of Aristocrat’s sustainability reporting program. The Sustainability Reporting Specialist will coordinate reporting activities, support ESG disclosure requirements, and improve reporting processes and governance. This position offers broad exposure across the business and an opportunity to deepen experience in sustainability reporting within a global organisation.

On-siteFull-timeMid-level3-5 yearsEnglish
2026-07-02
EntainDataUnited Kingdom

Sportsbook Analyst

The company is seeking a highly motivated and commercially minded Sportsbook Analyst to deliver impactful insights and play a key role in data-informed decision-making across the commercial Sportsbook function. Reporting to the Manager of Sportsbook Analytics, the role involves translating complex datasets into clear, actionable recommendations for senior stakeholders. The analyst will proactively monitor key metrics and identify opportunities to improve Sportsbook performance, customer engagement, revenue, and profitability through data-driven analysis.

HybridFull-timeMid-levelEnglish
2026-07-02