{"id":1035311,"url":"https://alion.io/job/nordeus-senior-data-engineer","title":"Senior Data Engineer","company":{"id":55785,"name":"Nordeus","domain":"nordeus.com","url":"https://alion.io/company/nordeus","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgrade, Serbia"],"countries":["RS"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":113000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1839},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Prefect","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false},{"name":"Trino","optional":true}],"status":"live","first_seen_at":"2026-09-18T09:46:55Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-09T03:02:32Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Ready to tackle data engineering challenges at a scale where billions of events are just another day at work? \nAnd what if the systems you build could help shape the experience of millions of players?\nIf this sounds like your kind of thing, keep reading!\nTHE DIFFERENCE YOU’LL MAKE:\nAs a Senior Data Engineer, you will architect and implement data pipelines and structure petabytes of data essential for making data-informed business decisions across different teams in Nordeus\nIn this role, you'll collaborate with top experts, work with rich datasets, and leverage cutting-edge technology, while seeing the direct impact of your work on products and players alike\nWHAT YOU’LL DO: \nBuild large-scale data pipelines that process billions of events every day with data processing frameworks like Airflow, Kafka, BigQuery and Google Cloud Platform\nDesign and develop our self-service Data Warehouse and Business Intelligence platform tools that enables our game teams to utilize data to bring the best experience to our players\nDesign and develop ML pipelines to help our data scientists efficiently develop new ML models using our game data Use best practices in continuous integration and delivery\nDesign and implement a robust and scalable data lake leveraging proven methodologies for optimal performance Design data models for efficient data storage and rapid retrieval\nManage the secure and efficient sourcing of external data from a diverse partner network\nHelp drive optimization, testing and tooling to improve data quality\nOptimize existing pipelines and maintain all game-agnostic related data pipelines\nWHO YOU’LL WORK WITH:\nYou will work with other data engineers and different teams across Nordeus including Data Scientists, Business Analysts, Performance Marketing and Product teams \nWE ARE A MATCH, IF YOU:\nHave a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience\nHave minimum 6 years of experience with: Python or other modern programming languages\nSQL and relational databases experience\nCustom ETL design, implementation and maintenance \n\nHave minimum 4 years of experience with: Workflow orchestrators such as Airflow, Prefect, Dagster, Astronomer, AWS Step Functions, Azure Data Factory, or similar\nData Warehouse Modeling\n\nHave experience working with a cloud or on-premises Big Data platform such as Google BigQuery, AWS Redshift, Azure Data Warehouse, SnowFlake, Databricks, Teradata, Hive, Presto or similar\nHave experience working with stream processing platforms such as Kafka, Google Pub/Sub, Amazon Kinesis, Azure Events Hub, RabbitMQ and similar\nBONUS POINTS:\nExperience with public cloud providers GCP/ AWS/ Azure\nExperience querying petabyte-sized datasets using BigQuery, Trino, Hive, Impala, etc.\nExperience designing and implementing real-time pipelines\nExperience with data quality and validations\nExperience with SQL performance tuning\nExperience with anomaly/outlier detection \nWHY YOU’LL LOVE WORKING HERE: \nThe team behind the game: transparency and trust from day one, paired with a strong sense of teamwork- that's the essence of who we are. It's not just what you do - it’s how you do it and who you do it with. With 280+ teammates from around the world, we’re on a mission to bring the joy of winning to millions.\n We make your life at Nordeus hassle-free: enjoy Nordeus provided breakfast, lunch, snacks, and beverages, a fully-equipped gym, organized sports activities (yoga, Brazilian jiu-jitsu, basketball, football), an ergonomic workstation, top-notch tech equipment (including laptop, mobile phone and bill coverage, and other tech), a kids’ playroom, a music corner, board and video games + latest consoles. \nPerks? We’ve got plenty: premium private medical insurance for you and your family, flexible working hours, take-what-you-need vacation policy, offsites abroad for the whole company, fully-paid maternity and paternity leave, employee stock purchase plan, access to L&D platforms and opportunities and many more.\nMake your mark on games played by millions: with over 300M registered users, Top Eleven is the world’s most successful football management game. Golf Rival, with more than 60M registered users, is the #2 mobile golf game, aiming to claim the top spot. With one more game in the works, we are continuing our efforts to create powerful mobile sports gaming experiences built to last.\nMeaningful career experience: work with experienced game makers and mentors who will support you from day one, helping you map a career path that's true to you. \nImpact beyond the screen: It is not just about us. We are part of something bigger than a job. We create a better future for generations to come through the efforts of the Nordeus Foundation.\nGOOD TO KNOW: \nThis is a hybrid, on-site position based in Belgrade.\nOur 3+2 hybrid model remains the standard - Monday to Wednesday in the office, Thursday and Friday are optional remote days. While we prefer working together from the office, we also understand that having some alone time or working from home (or some other location) can be beneficial. 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