Senior Databricks Engineer

Join the team that protects our world - and be part of building something exciting 😊

As part of APi Group, Chubb Fire & Security helps protect millions of people, buildings and critical assets around the world. From hospitals and schools to airports, commercial buildings and essential infrastructure, our work helps safeguard the environments people rely on every day.

Now, we are building our Europe Capability Centre in Bucharest and looking for talented professionals who want to be part of something from the very beginning.

This is more than just a new job or a new team. It is an opportunity to help create, influence, upgrade, digitalize, optimize processes while also contributing to the culture as ways of working that will define who we are. Your ideas, experience, and perspective will play an important role in how we collaborate, learn and support each other.

We want to create an environment where collaboration, ownership, continuous learning and improvement and wellbeing are at the heart of how we work. We believe that growth can happen in all directions - through new responsibilities, new skills, cross-functional opportunities, international exposure and the chance to contribute beyond your immediate role. No matter your position, your ideas, experience and ambitions can help shape both your own career and the future of the organization.

If what we are building resonates with your ambitions, values and aspirations for the future, we would love to hear from you 🌟

APi International ECC is seeking for a Senior Databricks Engineer to become a cornerstone of our Data & Analytics team. In this role, you will own the design and delivery of our Databricks-first data platform — building high-performance data pipelines, architecting scalable Lakehouse solutions, and championing engineering best practices across the team. You will work closely with business analysts, a data modeler and business stakeholders to turn raw data into reliable, production-grade analytics products.

Responsibilities

Databricks Platform Engineering

• Lakehouse Architecture: Design and implement scalable Lakehouse architectures using Databricks, Delta Lake, and Unity Catalog as the primary platform.
• Delta Live Tables: Build and manage DLT pipelines for declarative, reliable, and maintainable data transformation workflows.
• Unity Catalog: Govern data assets — tables, volumes, and models — through Unity Catalog, enforcing fine-grained access control and lineage tracking.
• Performance Optimization: Tune Spark jobs and Delta tables using Z-ordering, liquid clustering, auto-optimize, and partition strategies to maximize query performance.
• Databricks Workflows: Orchestrate multi-task pipelines using Databricks Workflows, including job scheduling, dependency management, and alerting.

Data Pipeline & Integration

• ELT/ETL Pipelines: Design, develop, and maintain robust ELT/ETL pipelines ingesting data from APIs, databases, streaming sources, and flat files into the Lakehouse.
• Azure Integration: Integrate Databricks with Azure Data Factory, ADLS Gen2, Azure Synapse, Event Hubs, and other Azure-native services.
• Streaming: Build real-time data processing pipelines using Structured Streaming and Delta Live Tables for low-latency analytics use cases.

Software Engineering & DevOps

• Code Quality: Write clean, efficient, and reusable PySpark, Python, and SQL code following SOLID principles and team coding standards.
• CI/CD: Implement and manage CI/CD pipelines in Azure DevOps for automated testing, deployment, and release of Databricks notebooks and jobs.
• Infrastructure as Code: Provision and manage Databricks workspaces, clusters, and supporting Azure infrastructure using Terraform or Bicep.
• Databricks Asset Bundles: Package and deploy Databricks projects using DABs for reproducible, environment-consistent deployments.

Data Governance & Quality

• Data Quality Frameworks: Implement automated data validation, expectation checks, and quality monitoring using Great Expectations or DLT expectations.
• Data Lineage: Maintain end-to-end data lineage visibility through Unity Catalog and Microsoft Purview integration.
• Documentation: Produce and maintain thorough technical documentation for pipelines, data models, runbooks, and architectural decisions.

Collaboration & Leadership

• Mentorship: Coach and mentor junior and mid-level engineers, conducting code reviews and sharing best practices.
• Stakeholder Engagement: Translate business requirements into robust technical solutions; communicate trade-offs clearly to non-technical stakeholders.
• Standards & Governance: Contribute to and enforce team engineering standards, SDLC processes, and platform governance policies.

Qualifications

• Databricks Certified Data Engineer Professional or Associate (mandatory).
• Microsoft Certified: Azure Data Engineer Associate (mandatory).
• 10+ years of hands-on experience in Data Engineering roles.
• Deep expertise in Databricks — Delta Lake, Unity Catalog, Delta Live Tables, Workflows, Clusters.
• Advanced PySpark and Python skills for large-scale distributed data processing.
• Strong SQL skills: query authoring, performance tuning, and data modeling.
• Experience with Azure Data Factory, ADLS Gen2, Azure Synapse Analytics.
• Hands-on experience with Azure DevOps CI/CD and Infrastructure as Code (Terraform or Bicep).
• Strong understanding of Data Warehousing concepts, dimensional modeling, and Data Lakehouse patterns (Medallion architecture).
• Experience with Structured Streaming or other real-time data processing frameworks.

Preferred Qualifications

• Experience with Microsoft Purview for data cataloguing and governance.
• Familiarity with dbt (data build tool) for SQL-based transformation workflows.
• Knowledge of MLflow and Databricks Feature Store for ML engineering integration.
• Exposure to Databricks Asset Bundles (DABs) for project packaging and deployment.
• Experience with Azure Function Apps, Logic Apps, or Event Hubs for event-driven architectures.
• Background in data mesh or data product thinking.

Key Skills at a Glance

Core Platform: Databricks, Delta Lake, Unity Catalog, DLT

Languages: PySpark, Python, SQL

Cloud & Integration: Azure Data Factory, ADLS Gen2, Synapse, Event Hubs

DevOps & IaC: Azure DevOps, Terraform, Bicep, DABs

Data Quality & Governance: Great Expectations, DLT Expectations, Purview

Architecture: Lakehouse, Medallion Architecture, Data Mesh

Why Join Us?

• Lead the build-out of a modern, Databricks-first data platform at scale.
• Work with a collaborative, forward-thinking Data & Analytics team.
• Access to cutting-edge tooling across Azure, Databricks, and the broader modern data stack.
• Competitive salary, benefits, and a strong commitment to your professional development and certifications.
• Opportunity to shape team standards, architecture decisions, and engineering culture.
• Contribute to high-impact, global data initiatives.

Additional Information

APi Group is a global, market-leading business services company providing statutorily mandated and contracted services across its Safety Services and Specialty Services segments, including fire and life safety, electronic security, elevator and escalator, and infrastructure services. With more than 600 locations in over 20 countries, APi is built on a century of expertise, a people-first culture, and its purpose of Building Great Leaders®. In 2026, Api Group is celebrating its 100-year anniversary and its debut as a Fortune 500 company. More information is available at apigroupinc.com

EEO Statement

APi Group is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.