Senior Data Engineer

hace 6 días

Ciudad de México, Ciudad de México SimCorp A tiempo completo
About SimCorp

SimCorp is a leading provider of integrated investment management solutions, serving over 50 years in the industry. With a global presence and a diverse team of 2,800+ colleagues, we offer a unique opportunity to be part of a dynamic and innovative company.

As an independent subsidiary of the Deutsche Börse Group, we leverage our combined strength to provide industry-leading solutions to our clients. Our Global Delivery Centers are located in key regions around the world, ensuring 24/7 support to our clients.

At SimCorp, we value diversity, equality, and inclusion. We believe in creating a culture where diverse perspectives and expertise are integrated into our everyday work. Our employees are committed to building a culture of growth, development, and responsible business practices.

About the Role

We are seeking a highly skilled Data Engineer to join our Data & Analytics team. As a Data Engineer, you will play a critical role in designing, building, and implementing a scalable and unified data and analytics platform. Your primary focus will be on building and transforming data solutions to deliver new business insights.

  • Participate in the execution of our BI & Analytics strategy, including data lake development and data sourcing from internal and external data sources.
  • Collaborate with data professionals to build a modern data platform architecture based on Microsoft Azure technologies.
  • Establish monitoring and early identification of issues in the data pipeline.
  • Help create modeled and curated data sets, including data lineage.
  • Get involved in high-profile initiatives to define the right data flow architecture and deliver tangible results quickly.
  • Gather and supply data to the organization to support better data-driven decision making.
Requirements

We are looking for a self-starter who can grow in a busy and exciting environment. The ideal candidate will have:

A degree in Computer Science, Software engineering, Business Intelligence, Information Technology, or similar.3+ years of experience as a Data Engineer or in a Software engineering role with a focus on data, including delivering production-ready Lakehouse or Datawarehouse solutions at enterprise level.Experience in building and optimizing data pipelines, architecture, and data models.Experience with one or more of ADF, DBT, Data Lake, Synapse Analytics, SQL, DataBricks, DAX, and PowerBI.Experience with Data governance and Data catalog using tools such as Microsoft Purview.Experience in working with cloud providers, preferably Microsoft Azure.Familiarity with cloud data platforms and tools and techniques for modeling (Star schema, etc.) and transforming data in these.Experience with at least one of the following languages – Python, Scala, Spark, or SQL.Strong collaboration and teamwork skills, able to build relationships across levels and functions globally.Good communication skills, fluent in spoken and written English.High performer providing honest and reliable feedback and high-quality solutions on time.Amenable to work in EMEA hours (2:00 PM – 11:00 PM or 3:00 PM – 12:00 AM PHT).What We Offer

An attractive salary, bonus scheme, and pension are essential for any work agreement. In addition to the traditional benefit scheme, we provide a good work-life balance and opportunities for professional development. We offer an individual approach to professional development to support the direction you want to take.

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