Data Engineer

Take your career to the next level with Amaris Consulting as a Data 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 of SQL, Python, and data modellingUnderstanding of ETL/ELT pipelines and data-quality principlesFamiliarity with Git and collaborative software-development practicesStrong analytical troubleshooting skills and willingness to learn and growClear 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 fieldUseful experience (nice to have)Experience with Databricks, Spark, cloud data platforms, or distributed processingKnowledge of CI/CD, infrastructure as code, monitoring, and alerting (e.g. Azure DevOps, Terraform, Azure ARM)Exposure to data governance, access management, or security-domain datasetsExperience with Power BI or 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 CodeWHAT WILL YOU DO?Develop and maintain data pipelines, tables, views, and data transformations for the IT Security & Compliance data platformPerform data-quality, freshness, and completeness checks to ensure reliable datasets for stakeholdersMonitor pipelines, investigate failures, and support incident resolution to keep the platform stable and performantWrite maintainable SQL and Python code with appropriate tests and documentationContribute through code reviews and Azure DevOps CI/CD practices, following engineering best practicesApply platform standards for security, access control, metadata, and governanceWork closely with engineers, analysts, and product stakeholders to translate business requirements into robust data solutionsSupport onboarding and migration of data sources and SCI measures onto the unified data platform (UDP)Help improve automation, observability, reliability, and operational efficiency of the data platformContribute to a governed data platform that centralizes common data, enhances discoverability via metadata, and enables AI-driven interaction and self-service analyticsWHY US?Join our dynamic team of talented individuals and experience a world of growth and opportunities. Here’s what we offer:Grow rapidly with a tailored career path and salary evaluation. 70% of our senior leaders started at entry level.Enhance your skills through our Tech Academy catalog, Udemy E-learning Platform, Languages Sessions, webinars, and workshops.Take charge of your training with an annual personal budget and company-paid certifications.Enjoy flexible policies, remote work options, and fantastic social benefits like transit and restaurant tickets, kindergarten support, and private health insurance.Benefit from our WeCare 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.

Foundational knowledge of SQL, Python, and data modelling Understanding of ETL/ELT pipelines and data-quality principles Familiarity with Git and collaborative software-development practices Strong 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, cloud data platforms, or distributed processing Knowledge of CI/CD, infrastructure as code, monitoring, and alerting (e.g. Azure DevOps, Terraform, Azure ARM) Exposure to data governance, access management, or security-domain datasets 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