{"id":1804511,"url":"https://alion.io/job/dataroots-data-engineer","title":"Data Engineer","company":{"id":54449,"name":"Dataroots","domain":"dataroots.io","url":"https://alion.io/company/dataroots","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"C","score":65,"open_postings":12,"ghost_share":0.583,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"dbt","optional":true},{"name":"Helm","optional":true},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2025-08-05T11:59:44Z","employer_posted_date":"2025-08-05","last_verified_at":"2026-10-16T10:27:55Z","board_verified":true,"closed_at":null,"days_open":437,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":436},"description":"The Job\nAt Dataroots, we lead the charge in crafting cutting-edge AI solutions and platforms that drive innovation across industries.\nAs a Senior Data Engineer, you’ll play a pivotal role in designing and implementing advanced data infrastructure and digital solutions that form the foundation of our AI-powered strategies. With a deep focus on DataOps and MLOps, you'll collaborate with some of the brightest minds in the field to create robust, scalable data pipelines that empower machine learning teams and elevate our clients’ operations. Your expertise will ensure that our AI solutions are backed by high-quality data and state-of-the-art infrastructure, allowing companies to make smarter, data-driven decisions.\n\nYou’ll design and deploy complex data architectures that impact businesses across a variety of sectors. You’ll oversee the entire lifecycle from data ingestion to production-ready systems, creating real-world solutions that drive results.\n\nWork closely with a multidisciplinary team of machine learning engineers, cloud architects, and data scientists. Together, you’ll build solutions that are not only innovative but also scalable and reliable\nWhat you can expect at Dataroots?\nFounded in 2016, Dataroots has been dedicated to helping customers achieve excellence in their data-driven operations. Our sustained and healthy growth over the years stems from a focus on team well-being, diversity, knowledge sharing and customer experience. Join a team where you can make a significant impact on our growth story. Learn more about our DNA at [https://dataroots.io/our-dna].\nRequirements\nThe Skills\nProven Leadership in Data Engineering: You are a master at designing high-\nperformance data platforms and architectures.\n\nEnd-to-End Pipeline Expertise: You can create complex ELT data pipelines-both\nbatch and streaming-with tools like Airflow, Prefect, or Dagster.\n\nStrong Software Engineering Foundations: Proficient with Git, Python, SQL, and\nDocker, you write clean, maintainable code.\n\nCloud Engineering Mastery: You have hands-on experience with Terraform and are\nskilled in building scalable, cloud-based infrastructures.\n\nHands-on Experience with Data Platforms: You are proficient with platforms like\nDatabricks, Snowflake, Azure Data Services, or AWS Data Services.\nNice-to-Have\n\nExperience with Spark for data processing.\n\nExpertise in data quality tooling and metadata management.\n\nFamiliarity with dbt and advanced data modeling.\n\nProficiency in container orchestration using Kubernetes and Helm.\n\nKnowledge of secure, private networking in cloud environments.\n\nThe Offer\nAn attractive salary with extralegal benefits, including:\nMobility budget or a company car with fuel/charging card\n\nHospitalization and group insurance\n\nHigh-end laptop\n\nSmartphone with subscription\n\nSubstantial amount of holidays\n\nMeal vouchers\n\n...\n\nDiverse and welcoming work environment, where you’ll collaborate & unwind with colleagues from different cultures and disciplines. The organization of both fun & professional events and initiatives is actively encouraged and supported.\n\nA training budget for individual and team learning opportunities.\n\nTons ofteam-building events and sports initiatives to stay connected and unwind.\n\nWhere you’ll work\nOur main offices are in Leuven and Ghent, with co-working spaces in Charleroi and Antwerp. These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events. While much of your work can be performed remotely, you will also work on-site with clients.\nReady to join Dataroots?\nReady for a new chapter as an Experienced Data & Cloud Engineer at Dataroots? Great! Apply now!\nStill need convincing? 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