Senior Data

You are As a Senior Data & Observability Engineer , you will take ownership of developing advanced Databricks solutions and Azure-based observability capabilities for one of our key enterprise clients. The role is predominantly hands-on ( 75% Databricks, 25% Power BI ) with strong emphasis on autonomy, problem-solving, and proactive influence on the technical direction of the project. We're looking for someone who thrives in high-trust environments, naturally takes responsibility, and sees themselves growing into a future technical lead . Your impact zone Design, develop, and optimize Databricks pipelines using PySpark and Spark SQL. Build and support Azure Observability components to ensure visibility and reliability across data ecosystems. Develop and maintain Power BI dashboards as the reporting layer for business and technical stakeholders. Implement and improve CI/CD processes using Azure DevOps (ADO). Work with D&A Platform tools (FlexFlow, FlexShare, Metadata) to extend data capabilities. Tackle complex and previously unaddressed client problems — providing clarity, structured thinking, and innovative solutions. Take responsibility for capacity planning, task prioritization, and backlog management . Proactively suggest improvements and identify new areas of value (light cross-selling ) within a trusted client relationship. Collaborate with both technical and business teams — contributing not only as an expert, but as someone shaping the direction of work. Qualifications & tech toolbox Around 4 years of hands-on experience. Strong hands-on experience with Databricks (PySpark, Spark SQL). Nice to have: exposure to Databricks Admin or System Tables . Experience with Power BI as a reporting layer. Solid understanding of Azure Cloud services. Experience with Azure DevOps CI/CD pipelines. Strong analytical and problem-solving skills — especially in non-standard or first-time scenarios. Excellent organizational skills: capacity management, backlog structuring, task planning. High self-reliance, ownership mentality, and ability to operate without constant direction. Communication skills enabling smooth stakeholder collaboration. Education and Experience Bachelor's degree in a relevant field or equivalent experience. Several years of hands-on experience as a Data Engineer, Cloud Engineer, or related role with Databricks focus. Experience working with enterprise clients is a plus. Extra stardust for Experience with Databricks workspace administration. Knowledge of Azure monitoring stack (Azure Monitor, Log Analytics, App Insights). Familiarity with metadata-driven or enterprise-scale data platforms. Demonstrated readiness to take on technical leadership responsibilities. Here's why you'll love Cloudfide BENEFITS: Regardless of the form of employment – budget for your professional development (training and certification), MyBenefit cafeteria (with Multisport), Medicover medical care, team-building meetings and trips. FLEXIBILITY: Enjoy the freedom of working from anywhere and have a genuine say in our tools, tech, and solutions. STABILITY: Stable and long-term employment (employment contract, B2B). START-UP CULTURE: Open communication, creative problem solving, and a flat hierarchy. GROWTH: Room to grow into a technical lead path through ownership, autonomy, and high-impact work. COLLABORATION: Join a diverse and passionate team that values initiative, independence, and continuous improvement. Equal opportunities Cloudfide is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.