Principal Data Engineer

at  Simcorp

6BHVDH, Hessen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate04 Jan, 2025Not Specified07 Oct, 20246 year(s) or aboveIt,Business Intelligence,Security,Statistics,Linux,Flask,Microsoft Azure,Algebra,Sql,Investment Management Industry,Optimization Techniques,Cloud Storage,Business Understanding,Apache Spark,Python,Docker,Orchestration,Cloud Computing,MongodbNoNo
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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.
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
SimCorp is the world’s leading provider of integrated investment management solutions to international financial institutions. Our clients include 300+ of the world’s leading asset managers, fund managers, asset servicers, pension and insurance funds, wealth managers, central banks, and sovereign wealth funds.
The Customer & Commercial Insights team uses corporate data to build internally used data products for the entire company. We deliver, deploy, and maintain a plethora of vital data products such as dashboards, predictive models, web apps, and ad-hoc analyses that are used by all parts of the organization. This helps our colleagues to increase their productivity and thus our customers’ satisfaction, as well as to make better decisions that increase our revenue. Most importantly, we are involved in the entire life cycle of the data product and don’t hand over Proof of Concepts. We develop and deploy all our solutions inhouse, collaborating with several stakeholders within the organization.
We are a growing team that looks to scale its services across the organization, especially in the area of AI. For this, we are in search of a Principal Data Engineer who can facilitate the scaling of our capabilities within the company. You will work with state-of-the-art cloud technology: no maintenance of legacy systems. We look for a bold and pragmatic problem solver with a high enterprising spirit. You will work in an agile and international team which delivers value to the business with much curiosity and fun.

What you will be responsible for:

  • Design, plan, develop, deploy, and maintain data products for our internal stakeholders.
  • Build data pipelines for our data analysts, data scientists, and full stack developers. This includes batch & streaming data pipelines for dashboards, web apps, models, and APIs.
  • Manage and expand our analytics & AI cloud infrastructure. You will play a vital role in expanding our technological capabilities.
  • Collaborate with colleagues and partner teams to source corporate data for our data products.
  • Be a thought leader and upskill your colleagues to higher standards.

What we value (our requirements):

  • 6+ years of experience in data analytics / machine learning / business intelligence or software engineering (with a significant focus on data).
  • Must have an enterprising spirit with a solid business understanding and builder mentality with fresh ideas.
  • Advanced English skills - can communicate efficient and assertive with important stakeholders and partners.
  • Open minded and has pragmatic mindset when it comes to problem solving.
  • Very good knowledge of Apache Spark, Delta Lake, and Python is a must-have.
  • Good knowledge of cloud computing (ideally Microsoft Azure) including cloud storage, serverless functions, networking, orchestration, and security needed.
  • Basic knowledge of statistics, linear algebra, large language models (LLM), MongoDB, Linux, and Docker.
  • Additional knowledge of this is beneficial: Scala, Go, SQL, PowerBI, Flask, JavaScript / Typescript, Terraform, Azure DevOps, optimization techniques.
  • Experience/Knowledge in the investment management industry would be beneficial.

Next steps
Please send us your application in English via our career site as soon as possible, we process incoming applications continually. To make sure you receive our emails please check your junk/spam folder and add SimCorp to the safe list of your e-mail contacts.
Please note: 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.
If you would like to know more about the job, please contact Alina Wiejak, Senior Talent Acquisition Partner at
Alina.Wiejak@simcorp.com

LI-Hybri

Responsibilities:

  • Design, plan, develop, deploy, and maintain data products for our internal stakeholders.
  • Build data pipelines for our data analysts, data scientists, and full stack developers. This includes batch & streaming data pipelines for dashboards, web apps, models, and APIs.
  • Manage and expand our analytics & AI cloud infrastructure. You will play a vital role in expanding our technological capabilities.
  • Collaborate with colleagues and partner teams to source corporate data for our data products.
  • Be a thought leader and upskill your colleagues to higher standards


REQUIREMENT SUMMARY

Min:6.0Max:11.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

61352 Bad Homburg vor der Höhe, Germany