{"id":2164507,"url":"https://alion.io/job/itproposal-developer-azure-databricks-python-pyspark-10967958","title":"Developer – Azure Databricks / Python / PySpark - 10967958","company":{"id":4374987,"name":"ITproposal","domain":"itproposal.com","url":"https://alion.io/company/itproposal","size_band":"501-1000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":111000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-09T09:20:44Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T02:46:47Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Developer - Azure Databricks / Python / PySpark\nRequirement ID: 10967958\nPosted On: 09 September 2026\nLocation: Amsterdam, Netherlands\nWork Arrangement: Fully Onsite\nExperience: 8-10 years\nLanguages: English\nContract Duration: To be confirmed\nCore Skills: Python, Azure Databricks, PySpark\nJob Description\nWe are looking for an experienced Developer / Data Engineer with strong hands-on expertise in Azure Databricks, Python, and PySpark. The ideal candidate will specialize in building robust, reliable, and maintainable data-processing solutions within a Databricks environment.\nThis role is focused on data processing engineering within Databricks, rather than traditional Business Intelligence (BI), data enrichment, or reporting architectures. The successful candidate should have deep practical experience managing complex data processes and making sound technical decisions in a continuously evolving architecture.\nKey Responsibilities\nDesign, develop, and maintain robust data-processing solutions using Azure Databricks.\n\nBuild and manage batch and streaming data-processing pipelines.\n\nDevelop scalable solutions using Python, PySpark, and SQL.\n\nDesign appropriate data models within the Databricks environment.\n\nManage and control multiple parallel data processes working with shared source data.\n\nEnsure data-processing solutions are stable, reliable, maintainable, and scalable.\n\nWork with Azure cloud services and implement CI/CD pipelines using YAML.\n\nDevelop and maintain infrastructure using Infrastructure as Code (IaC), particularly ARM/Bicep.\n\nIdentify and resolve technical issues while minimizing technical debt.\n\nContribute to continuous improvement of the data-processing environment and development practices.\n\nCollaborate closely with other engineers, architects, and stakeholders in an Agile environment.\n\nMake pragmatic technical decisions without unnecessary over-engineering or blindly applying design patterns.\n\nMust-Have Skills\nStrong, hands-on experience with Azure Databricks.\n\nDeep expertise in Python and PySpark.\n\nStrong SQL skills.\n\nProven experience designing and managing data processing within Databricks.\n\nExperience with both streaming and batch data processing.\n\nExperience designing data models within Databricks.\n\nExperience managing multiple parallel data processes using shared source data.\n\nSolid experience with Microsoft Azure cloud services.\n\nHands-on experience with CI/CD pipelines using YAML.\n\nExperience with Infrastructure as Code, particularly ARM and/or Bicep.\n\nExperience working in an Agile development environment.\n\n8-10 years of relevant professional experience.\n\nNice-to-Have\nBroader understanding of end-to-end data solutions.\n\nExperience working within complex and evolving data architectures.\n\nUnderstanding of best practices for building highly reliable and maintainable data platforms.\n\nSoft Skills & Professional Competencies\nThe ideal candidate should demonstrate:\nStrong focus on quality, reliability, and maintainability.\n\nA proactive mindset and commitment to continuous improvement.\n\nStrong collaboration and communication skills.\n\nA structured and analytical approach to problem-solving.\n\nA pragmatic engineering mindset.\n\nAbility to make well-founded technical decisions.\n\nAbility to avoid unnecessary complexity and over-engineering.\n\nStrong ownership of solutions from development through to reliable operation.\n\nWhat We Are Looking For\nWe are specifically looking for a pragmatic Azure Databricks/Python specialist with genuine, deep hands-on experience-not someone with only superficial exposure to Databricks.\nThe successful candidate will be comfortable managing and 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