Experienced Data Engineer (Data & Analytics)

WHAT MAKES US, US

Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!

At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.

If you like what we’re saying, keep reading!

WHY THIS ROLE IS IMPORTANT TO US

This is a unique opportunity to be part of our One Lake journey for our Data Platform in SimCorp, where we are currently transiting from MS Synapse to MS Fabric.

Your primary focus will be designing, building, and implementing a scalable and unified Data and Analytics Platform and extracting data from different sources, with other experienced colleagues in the Data & Analytics team, and with a unique opportunity to shape results.

A primary responsibility of the Data & Analytics team is supporting and enabling data-driven decision-making in SimCorp by delivering correct data for analytics and AI solutions.  

The Data & Analytics team comprises five members and is part of the Business Solutions department, with 38 colleagues. We are a diverse team with many nationalities, located around the world. We are working with Agile principles to organize our work and have adopted agile ceremonies to improve our working methods.

WHAT YOU WILL BE RESPONSIBLE FOR 

We are looking for a detail-oriented colleague, who thrives in a busy and exciting environment. You will be in a critical role in building, transforming, and automating data solutions to deliver new business insights.

• Data & Analytics Strategy Execution: Participate in executing our advance analytics strategy, including managing the data lake and integrating data from various internal and external sources
• Technical Collaboration: Utilize your deep technical skills and extensive knowledge to collaborate with other data professionals in building a modern data platform architecture based on Microsoft Fabric
• Data Observability: Establish monitoring and alert systems and early identification of issues within the data pipeline and its anomaly detection
• Advanced Data Foundation: Contribute to advancing our data foundation by creating modeled and curated data sets, including data lineage
• Strategic Initiatives: Engage in data platform strategic initiatives to define the right data flow architecture and deliver tangible results quickly
• Data-Driven Decision Making: Gather and supply data to the organization to support better data-driven decision making
• CI/CD deployment lifecycle: Work with delivery through CI/CD workflow and deployment pipelines

WHAT WE VALUE

Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest:

• 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 focus on data, including delivering production-ready lakehouse or data warehouse solutions at enterprise level
• Experience in building and optimizing data pipelines, architecture, and data models
• Experience with ADF, DBT, Data Lake, MS Fabric/Synapse, SQL, DataBricks, or Power BI
• Experience with Data governance and Data catalog using tools such as Microsoft Purview
• Experience in working with cloud providers, Microsoft Azure
• Familiarity with cloud data platforms and tools and techniques for modelling (Star schema, etc.) and transforming data.
• Experience with at least one of the following languages – Python, Scala, or Spark
• Effective collaboration and teamwork skills, able to build relationships across levels and functions globally
• Good communication skills, fluent in spoken and written English
• Dedicated professional providing reliable and precise feedback and high-quality solutions on time

Furthermore,

• A collaborative partner contributing to a good team spirit
• Innovative and courageous to seek new possibilities
• Humble with a good sense of humor
• Structured, detail-oriented, and versatile in your professional practices

BENEFITS

Attractive salary and bonus scheme are essential for any work agreement. However, in SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an work & private life balance: a hybrid workplace model and extra days of vacation. We also practice a tailored approach to professional development to support the direction you want to take.

NEXT STEPS

Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process.

For any questions you are welcome to contact Oleksandra Nelipa, Senior Talent Acquisition Partner, at Oleksandra.Nelipa@simcorp.com. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks.

We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. 

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