Data Engineer

Take your career to the next level withAmaris Consultingas aData Engineer for an IT Security & Compliance team. Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow up on projects. Join Amaris Consulting, where you can develop your potential and make a difference within the company.?? WHAT WOULD YOU NEED?Required profileFoundational knowledge ofSQL,Python, anddata modellingUnderstanding ofETL/ELT pipelinesanddata-quality principlesFamiliarity withGitand collaborative software-development practicesStronganalytical troubleshooting skillsand willingness to learn and growClear communication skills and ability to work in amultidisciplinary team(engineers, analysts, product stakeholders)Degree or equivalent experience inData Engineering,Computer Science, or a related fieldUseful experience (nice to have)Experience withDatabricks,Spark,cloud data platforms, ordistributed processingKnowledge ofCI/CD,infrastructure as code,monitoring, andalerting(e.g. Azure DevOps, Terraform, Azure ARM)Exposure todata governance,access management, orsecurity-domain datasetsExperience withPower BIor other analytics and reporting toolsTechnological environment you’ll work with:Azure Databricks, Databricks pipelines and jobs, Databricks Declarative Automation Bundles, Unity Catalog, Databricks SQL, Python, PySpark, Terraform, Azure DevOps, Azure ARM, API, SQL Server, OData, REST API, Claude Code?WHAT WILL YOU DO? ?Develop and maintain data pipelines, tables, views, and data transformationsfor the IT Security & Compliance data platformPerformdata-quality, freshness, and completeness checksto ensure reliable datasets for stakeholdersMonitor pipelines, investigate failures, and supportincident resolutionto keep the platform stable and performantWritemaintainable SQL and Python codewith appropriatetests and documentationContribute throughcode reviewsandAzure DevOps CI/CD practices, following engineering best practicesApply platform standards forsecurity,access control,metadata, andgovernanceWork closely withengineers, analysts, and product stakeholdersto translate business requirements into robust data solutionsSupportonboarding and migration of data sources and SCI measuresonto the unified data platform (UDP)Help improveautomation, observability, reliability, and operational efficiencyof the data platformContribute to agoverned data platformthat centralizes common data, enhances discoverability via metadata, and enablesAI-driven interactionand self-service analytics? WHY US? ?Join our dynamic team of talented individuals and experience a world of growth and opportunities. Here’s what we offer:Grow rapidlywith a tailored career path and salary evaluation. 70% of our senior leaders started at entry level.Enhance your skillsthrough our Tech Academy catalog, Udemy E-learning Platform, Languages Sessions, webinars, and workshops.Take charge of your trainingwith an annual personal budget and company-paid certifications.Enjoyflexible policies, remote work options, and fantastic social benefits like transit and restaurant tickets, kindergarten support, and private health insurance.Benefit from ourWeCare program, supporting employees in critical situations.Unleash your full potential, both professionally and personally.Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

analytical troubleshooting skills and willingness to learn and grow Clear communication skills and ability to work in a multidisciplinary team (engineers, analysts, product stakeholders) Degree or equivalent experience in Data Engineering , Computer Science , or a related field Useful experience (nice to have) Experience with Databricks , Spark, Experience with Power BI or other analytics and reporting tools Technological environment you’ll work with: Azure Databricks, Databricks pipelines and jobs, Databricks Declarative Automation Bundles, Unity Catalog, Databricks SQL, Python, PySpark, Terraform, Azure DevOps, Azure ARM, API, SQL Server, OData, REST API, Claude Code