Senior\Lead Data Engineer Offline

$$$$

Job Description

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 and have had hands-on experience with the following:

  • Expert in T-SQL
  • Proficiency in Python
  • Experience in Microsoft cloud technologies data services including but not limited to Azure SQL and Azure Data Factory
  • Experience with Snowflake and star schema and data modeling – experience with migrations to Snowflake will be an advantage
  • Experience or strong interest with DBT (data build tool) for transformations, test. Validation, data quality etc.
  • English - Upper Intermediate

On top of that, it would an advantage to have knowledge / interest in the following: 

  • Some proficiency in C# .NET
  • Security first mindset, with knowledge on how to implement row level security etc.
  • Agile development methodologies and DevOps / DataOps practices such as continuous integration, continuous delivery, and continuous deployment. For example, automated DB validations and deployment of DB schema using DACPAC.

As a person, you have following traits:

  • Strong collaborator with team mates and stakeholders
  • Clear communicator who speaks up when needed.

Job Responsibilities

WHAT YOU WILL BE RESPONSIBLE FOR

Ensure quality in our data solutions and that we can ensure good data quality across multiple customer tenants every time we release.

Work together with the Product Architect on defining and refining the data architecture and roadmap.

Facilitate the migration of our current data platform towards a more modern tool stack that can be easier maintained by both data engineers and software engineers.

Ensure that new data entities get implemented in the data model using schemas that are appropriate for their use, facilitating good performance and analytics needs.

Guide and support people of other roles (engineers, testers, etc.), to ensure the spread of data knowledge and experience more broadly in the team

Department/Project Description

WHO WE ARE

For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds in general.  

SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients.  

SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.  

 

WHY THIS ROLE IS IMPORTANT TO US

You will be joining an innovative application development team within SimCorp's Product Division. As a primary provider of SaaS offerings based on next-generation technologies, our Digital Engagement Platform is a cloud-native data application developed on Azure, utilizing SRE methodologies and continuous delivery. Your contribution to evolving DEP’s data platform will be vital in ensuring we can scale to future customer needs and support future analytics requirements. Our future growth as a SaaS product is rooted in a cloud-native strategy that emphasizes adopting a modern data platform tool stack and the application of modern engineering principles as essential components.

We are looking into a technology shift from Azure SQL to SnowFlake in order to meet new client demands for scalability. You will be an important addition to the team for achieving this goal.

Required skills experience

Required languages

English B2 - Upper Intermediate
Snowflake, T-SQL, Python, Azure

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