Senior Data Engineer

About the role:

As a Data Engineer in our Product Area, you will do more than just extract, transform, and load data. You will implement business functionality that enables our customers to run their accounting processes and that produces data to satisfy their reporting needs. You will design, develop, automate, and support data pipelines and applications that combine data elements from multiple domains and systems. You will leverage innovative technologies and frameworks to enable scalable and efficient data 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 are living DevOps. We own the implementation of the business functionality and operate our workload in production. We are looking for an ambitious data engineer, who will help to build and deploy end to end data pipelines to production environments.

Key tasks:

• Understand business requirements and convert into technical specifications
• Oversight of the end-to-end application architecture.
• Drive the design and build of data pipelines that create financial data by combining input from various sources
• Take ownership for the implementation of functional and non-function requirements. Ensure a high level of test automation
• Act as a local lead, coach junior team members and peer reviews
• Build up sustainable relationships with key business and IT stakeholders to become a trusted partner along with the product owner
• Meet with business 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 Expert Data Engineer you contribute by:

• • Collaborating with the product owner to build a target architecture for the products in scope of the team.
  • Design data pipelines and data flows. Lead their implementation and actively contribute hands-on to the coding.
  • Collaborating with other Engineering leads to ensure design decisions are aligned within the product area
  • Perform peer code reviews.
  • Present and communicate ideas and design to various stakeholder for review and brainstorming.
  • Ensure technical design and implementation are in line with architecture and meet quality requirements (e.g., performance, reliability, availability)
  • Implement software engineering practices to ensure the quality, performance, and maintainability of our applications.
  • Line management of junior team members. Mentoring and support professional skill development of junior colleagues.

About the team:

• The position is part of the Cashflow Enhancement team that is newly created in the Subledger Input Preparation Product Area. This area designs and runs business applications at the Finance IT Division of Swiss Re.
• The Product Owner is in Switzerland and leads a global team that develops and runs the next generation of finance business applications for Swiss Re.
• 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.

About you:

• Bachelor's or master's degree in a relevant quantitative field, e.g. Computer Science, Mathematics, Engineering or other equivalent
• 8+[CS1]  years of experience in designing and implementing end to end data pipelines & data models
• Strong understanding of data engineering techniques with modern programming languages and analytical frameworks (proficient in Python, PySpark, SQL)
• Proficient in Spark based data lake & extended services like, Azure Databricks, Azure Data Factory, Azure Data Lake etc.
• Expertise working with relational databases like Oracle/Postgres
• Experience with Integration technologies like REST/SOAP APIs
• Problem-solving skills and commitment to quality and timely delivery
• Strong interpersonal, written, and verbal communication skills, including clear articulation of technical topics to a non-technical audience
• Experience as team leader is an advantage
• A desire to continuously upskill & stay relevant with emerging technologies