Senior Data Engineer (ADB + Python)
Bonapolia · Sofia, Sofia-City, Bulgaria
IT Services and IT Consulting · 11-50 employees
About the role
Design, develop, and maintain robust Spark applications while enforcing coding standards and best practices across the project. Collaborate with cross-functional teams to deliver scalable software solutions and provide clear communication to stakeholders.
What they look for
Requirements
Requires 5+ years of software development experience with extensive knowledge of Apache Spark and Python. Candidates must possess strong analytical skills and a solid understanding of microservices architecture and cloud-based data workflows.
Full description
We are looking for a motivated Senior Data Engineer (ADB + Python) who is willing to dive
into the new project with a modern stack.
About the Client
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
-Working both independently and in close collaboration with others in the team
-Communicating clear instructions to team members and helping manage the flow of
day-to-day operations
-Communicating 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 a range of 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
English level
Intermediate+
📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!
