Application Engineer II

As an Application Engineer II in our Product Area, you will contribute to the development of a modern lakehouse architecture build on Azure Datalake using Python to implement business services. You will implement business functionality that enables our customers to run their accounting processes and generate data to meet their reporting needs. You will design, develop, automate, and support backend applications that combine data elements from multiple domains and systems. You will leverage innovative technologies and frameworks to enable scalable and efficient processing. You will collaborate with other engineers, analysts, product owners and stakeholders to deliver value-added solutions that meet the business needs and expectations.

We value clean code, automation, continuous improvement, knowledge sharing and engineering excellence.  We actively leverage AI-assisted development tools such as GitHub Copilot to improve engineering productivity and quality.

We are living DevOps. We own the implementation of the business functionality and operate our workload in production. We are looking for an ambitious application engineer, who will help to build and deploy business services to production environments.

Key tasks:

• Understand business requirements and convert them into technical specifications
• Hands-on coding in Python /PySpark
• Oversee the end-to-end application architecture
• Drive the design and build of business services that create financial data by combining input from various sources
• Take ownership for the implementation of functional and non-functional requirements. Ensure a high level of test automation
• Peer reviews
• Foster sustainable relationships and become a trusted partner to team members.
• Meet with stakeholders, understand the requirements, and advise on efficient solutions
• Ensure timely customer communication and coordination of follow-up activities
• Apply and implement Agile Scrum and DevOps standard methodologies
• Contribute to the operations during quarterly closing cycles

Your main responsibilities are:

As an Application Engineer II you contribute by:

• Collaborate with other team members to develop the software products within the teams scope.
  • Design and implement data transformation services and data flows.
  • Collaborate with other engineers in the team to ensure design decisions are aligned.
  • Perform peer code reviews
  • Present and communicate ideas and designs to various stakeholder for review and brainstorming
  • Ensure technical design and implementation are in line with the application architecture and meet quality requirements (e.g., performance, reliability, availability)
  • Implement software engineering practices to ensure the quality, performance, and maintainability of our applications

• The Estimated Cashflow Preparation team is a growing engineering team within the Subledger Input Preparation Product Area, focused on building the next generation of finance data and processing services
• The Product Owner and Engineering Manager who are based in Zurich and lead a team that operates from Zurich and Hyderabad
• The team builds on a lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) with Python being the main programming language and PySpark is used for large scale data engineering.

As a successful candidate for this role, you possess

• Bachelors or masters degree in a relevant quantitative field, e.g. Computer Science, Mathematics, Engineering or other equivalent
• 6+ years of experience in designing and implementing reliable and scalable software through the full software development lifecycle using modern IDEs (Visual Studio Code and/or IntelliJ), code management and automation tools. Hands-on experience with test driven development (Unit testing, Integration testing)
• Strong understanding of software engineering techniques with modern programming languages and analytical frameworks. Proficient in Python, PySpark, SQL
• Profound experience in Spark based data lake & extended services like, Azure Databricks (Workflows/Jobs), Azure Data Factory, Azure Data Lake Storage Gen2, Delta Lake and Terraform
• Experience with Git, CI/CD pipelines and Azure DevOps.
• Expertise working with relational databases like Oracle/Postgres

• Experience with Integration technologies like REST/SOAP APIs
• Experience working with AI-assisted development tools such as GitHub Copilot is considered an advantage.

• Problem-solving skills and commitment to quality and timely delivery
• Strong interpersonal, written, and verbal communication skills
• A desire to continuously upskill & stay relevant with emerging technologies

Interested in this new challenge? We are looking forward to your application!