SimCorp

Senior Data Engineer

Noida
SQL Snowflake Python Azure DevOps
Description

Senior Data Engineer

Location: Noida

Time Type: Full time

Job Description

Senior Data Engineer

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

Data is core to what we do at SimCorp – both for internal activities and to support our services we provide to our clients. SimCorp, a global FinTech company, is offering key positions for Data Engineers in the Data and Reporting Department.

You will work with skilled and experienced data engineers and become part of an innovative and changing environment. You will be motivated by taking responsibility of building data processing tools. Your contribution to the team will improve our value proposition to the organization and bring us closer to our goals.

A key element in our corporate strategy is cloud-based Data Platform; building a high-quality Data Platform.

WHAT YOU WILL BE RESPONSIBLE FOR

  • Design, build, and maintain scalable data pipelines for ingesting, transforming and serving large volumes of financial and operational data

  • Contribute to end-to-end ownership of data solutions, from requirements and design through implementation, deployment and support

  • Ensure high standards for data quality, performance and reliability across pipelines and data sets

  • Contribute to code reviews, design discussions and technical decisions.

  • Work within cloud-native and DevOps environments, contributing to CI/CD and automation of deployment and test scope

  • Collaborate with data scientists and analysts to ensure data is collected, stored, and processed efficiently

KEY SKILLS AND REQUIREMENTS

  • Demonstrated practical experience as a data engineer processing large data volumes

  • Advanced SQL skills, Snowflake

  • Good Python knowledge

  • Solid understanding of ETL pipelines – ingestion, normalization

  • Good understanding of data modelling in the financial sector

  • Good understanding of cloud infrastructures, such as Azure

  • Familiarity with DevOps

  • Familiarity with Data Governance

WHAT WE VALUE

  • 5-8+ years of experience with data engineering

  • Good knowledge of finance and financial instruments 

  • Ability to identify, understand, prioritize and deliver the work with minimal supervision

  • Effective communication & presentation skills

  • Clear sense of ownership and accountability

  • Willingness to learn, adjust to changing situations and contribute to a collaborative, international team

BENEFITS  

  • Global hybrid work policy - We ask you to work 2 days a week from the office. If you choose you can work remotely the other days. Of course, you are welcome at the office if that is your preference. 

  • Culture – Inclusive and diverse company culture.

  • Work-life balance – We believe that an equilibrium between professional responsibilities makes us all the best version of ourselves, both in private life and as colleagues in the workplace.

  • Empowerment – We believe that all voices are valuable and must be heard. You will be involved in shaping our work processes.

  • Career & Growth – Simcorp does offer opportunities for professional development: there is never just only one route - we offer an individual 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 photos, 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 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. 

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, education, 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 and welcome applicants from all backgrounds, without regard to race, gender, age, disability, or any other protected status under applicable law. 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. 

#LI-Hybrid

SimCorp
SimCorp

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