{"id":3618638,"url":"https://alion.io/job/aon-azure-data-engineer","title":"Azure Data Engineer","company":{"id":21106,"name":"Aon","domain":"aon.com","url":"https://alion.io/company/aon","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-02T16:09:44Z","employer_posted_date":null,"last_verified_at":"2026-11-02T16:09:44Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Azure Data Engineer\nAs an Azure Databricks Data Engineer, you will work with the team to design and deliver scalable data pipelines, Lakehouse solutions, and governed data platforms on Azure. You will apply your expertise in PySpark, SQL, Delta Lake, Unity Catalog, and Power BI enablement to create secure, reliable, and high-performing data solutions.\nOur office is located in Krakow and this role is available both in 50/50 hybrid and fully remote working model.\n\nAon is in the business of better decisions\nAt Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.\n\nWhat the day will look like\n\nYour responsibilities will include:\nFacilitate workshops to discuss, review and document business reporting requirements.\n\nEstablish best practices across data architecture, governance, security, performance, and platform reliability\n\nDeveloping and implementing scalable data integration pipelines on Azure Databricks using PySpark, SQL, Notebooks, Jobs, and Workflows.\n\nBuilding and maintaining Lakehouse architectures using Delta Lake and bronze, silver, and gold data layers to support analytics and reporting.\n\nCrafting robust, reusable systems and collections for data transformation.\n\nImplementing and managing Unity Catalog to provide centralized governance of data, tables, and permissions.\n\nDefining and enforcing role-based access control, data access controls, and auditing in line with security and compliance requirements.\n\nStandardizing catalog, schema, and table naming conventions across environments.\n\nDelivering well-modelled, performance-optimized datasets for Power BI and other business analytics tools.\n\nCollaborating with BI developers and analysts to define semantic models, data contracts, and refresh strategies. Supporting design and development of new reports\n\nTroubleshooting and optimizing query performance between Power BI and Databricks, including Direct Lake and Direct Query where applicable.\n\nConfiguring and improving Databricks clusters, cluster policies, and job schedules for cost, performance, and reliability.\n\nImplementing monitoring, logging, and alerting for data pipelines and jobs.\n\nContributing to and improving CI/CD pipelines for Databricks code using Git and Azure DevOps or GitHub.\n\nExplore AI/ML technologies and opportunities to deploy machine learning pipelines that generate measurable business value.\n\nHow this opportunity is different\nThis role provides the opportunity to develop scalable and governed data solutions that directly support enterprise analytics and business decision-making. You will combine hands-on engineering with technical leadership, helping to establish best practices across data architecture, governance, security, performance, and platform reliability.\n\nSkills and experience that will lead to success\nStrong experience crafting and implementing scalable ETL and ELT pipelines on Azure Databricks using PySpark, SQL, Notebooks, Jobs, and Workflows.\n\nExpertise in Lakehouse architecture, Delta Lake, and bronze, silver, and gold data-layer patterns, with the ability to develop reusable data transformation frameworks and libraries.\n\nExperience implementing Unity Catalog, role-based access control, data access controls, auditing, and consistent catalog, schema, and table standards.\n\nAbility to develop performance-optimized datasets for Power BI and collaborate on semantic models, data contracts, refresh strategies, Direct Lake, and Direct Query solutions where applicable.\n\nExperience optimizing Databricks clusters and job scheduling, implementing monitoring and alerting, and contributing to CI/CD practices using Git and Azure DevOps or GitHub.\n\nKnowledge of Finance and Insurance business processes and terminology.\n\nWork independently, Self-motivated and organized, Manages own time to ensure task are completed with the ability to work to tight deadlines and under high pressure situations\n\nCan communicate openly, honestly and independently with stakeholders at all levels of the organisation to understand their business goals and processes.\n\nPlease attach CV in English only.\nTech stack\nETL\nELT\nAzure Databricks\nPySpark\nSQL\nNotebooks\nJobs\nworkflows\nLakeHouse\nDelta Lake","description_format":"text","description_chars":4352,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Management Consulting","Insurance Brokers & Agencies"],"lifecycle":[{"event":"open","at":"2026-11-02T17:25:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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