Senior Data Engineer (ADB + Python) at Bonapolia

Bucharest, Masovian Voivodeship, Romania -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Spark, Databricks, Azure Synapse, Python, Pandas, Polars, Parquet, Delta Tables, Azure Cloud, Microservices Architecture, Data Engineering, Software Development, SQL, Data Analysis, Containerization, Kubernetes

Industry

IT Services and IT Consulting

Description

👍English: Intermediate+ 🌍 Location: Bulgaria, Georgia, Poland, Romania, Uzbekistan 💼 Planned start: End of May / beginning of June About the Client & Project Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory. The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management. Project Tech Stack Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs What You’ll Do Define and enforce best practices and coding standards across the project Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality Work both independently and in close collaboration with others in the team Communicate clear instructions to team members and help manage the flow of day-to-day operations Communicate with the client regularly Design, develop, and maintain robust and scalable Spark applications Write clean, maintainable, and efficient code following best practices and coding standards Optimize code for performance and scalability, ensuring efficient data handling Work closely with cross-functional teams to deliver high-quality software solutions Identify and resolve technical issues, ensuring the reliability and performance of applications Create and maintain comprehensive documentation for code, processes, and workflows What You Bring 5+ years of hands-on experience in software development Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables Proven expertise in data processing, analysis, and transformation workflows Strong analytical and problem-solving abilities with a detail-oriented mindset Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines Solid understanding of microservices architecture and its implementation in scalable systems Nice to Have Experience working with Azure Cloud services (or other major cloud platforms), including SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more Familiarity with FastAPI Expertise in containerization and orchestration tools such as Docker and Kubernetes 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

Responsibilities

The Senior Data Engineer will design, develop, and maintain robust Spark applications while enforcing coding standards and best practices. They will collaborate with cross-functional teams to optimize data processing workflows and ensure the reliability of scalable software solutions.