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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 shaping one of the most advanced data ecosystems in the industry. What the role involves 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 through 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, improving 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 modelling 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 What we are looking for Strong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical models Deep understanding of dimensional modelling 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 Nice to have Experience with event-driven source systems Experience with cloud-native analytical databases such as Snowflake, BigQuery, or Databricks Familiarity with semantic layers, metrics modelling, and enabling data products beyond traditional BI reporting Exposure to experimentation-driven or product-led environments Experience with data governance, cataloguing, 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 What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Additional benefits vary by country and will be shared during the hiring process. About Super We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. Shaping the Future of Play Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.