Senior Data Engineer, Stoxx
Investment intelligence solutions
Be an early applicant
Investment intelligence solutions
201-500 employees
Be an early applicant
201-500 employees
Company mission
Qontigo's mission is to partner with investors and wealth managers to optimize their clients’ investment impact.
Role
Who you are
- 5+ years experience, with focus on data engineering in the cloud
- Experience developing and deploying of large-scale, complex data pipelines
- Experience of decomposed batch transformation pipelines, based on lakehouse concepts
- Experience of cloud development, the benefits and challenges
- Experience of GCP, AWS or Azure products across database, serverless, containerization and API
- Pragmatic experience using agile to deliver incremental value
- Experience working in a global or multinational team setting
- Strong communication and collaboration skills
- Focus on simplicity, automation and observability
- Bachelor's degree in Computer Science or related field
- Expertise with DBT, Python, SQL, Airflow, DataDog
Desirable
- Strong knowledge of GCP products, especially BigQuery, CloudRun and CloudSQL
- Experience of micro-batch and near real-time data pipelines
- Experience integrating RAG LLMs and machine learning models into data pipelines, using user decision data for ongoing model training, and of exposing chat interfaces to data assets
- Experience with data cataloguing and data entitlement capabilities
- Practical knowledge of using DBT to implement layered transformation flows
- Domain knowledge of financial market data and financial index data models and feeds
- Experience with on-prem deployments and on-prem to cloud migration
What the job involves
- ISS Stoxx is seeking a Senior Data Engineer to bolster our expertise in the development and deployment of our cutting-edge financial intelligence platform
- We are concluding the first phase of a full-scale re-architecting of our on-prem data estate to a modern componentised set of solutions using GCP technologies
- In this IC role, you will collaborate with Principal Data Engineers and the wider team to evolve our data architecture and interpret product needs, requirements and enterprise policies into solutions that deliver clear value and accrue to our five-year vision
- You’ll be an advocate of our architecture and solutions and constantly seek feedback on ways to improve its fit
- You’ll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction – in a culture where the global Data Engineering function collaborate to achieve shared success
- You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge, and drive continuous improvement initiatives
- You’ll be a humble expert, willing and able to meet people at their level and both help them and learn from them
- You’ll lead by example, using data and proof-of-concepts to bring people along and make them successful
- You’ll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop
- Success in this role means you successfully navigate the line between personal and team value delivery – you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too
- Design, build, test, deploy and support capabilities and use cases on our expanding data ecosystem
- Work smart, look for reuse and extension and focus on new problems, not solved problems
- Interpret requirements and engage stakeholders to ensure what you’re building is relevant and valuable
- Generously share your experience to help your peers develop and grow
- Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback
- Keep abreast of emerging trends and technologies in cloud data management and operation, to form and disseminate new insights
- Be a data pipeline or data content expert
Salary benchmarks
Our take
STOXX, previously Qontigo, was created by capital market giants Deutsche Börse Group in 2019 after its acquisition of stock market indexes STOXX and DAX, as well as portfolio construction and risk analytics company Axioma.
By combining index intelligence with Axioma’s risk analytics, the company’s purpose is to provide hedge fund, wealth, and asset managers with the tools to navigate a quickly shifting marketplace. Although STOXX keeps its customer base under wraps, it claims to work with some of the world’s largest asset management companies and financial institutions.
Considering that Deutsche Börse Group operates the Frankfurt Stock Exchange, it’s no surprise that STOXX is operating in such elite circles. The company has already expanded globally through the US, Europe, Asia, and Oceania, and looks set to keep growing, with a potential IPO looking more and more likely in the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (1 round)
Sep 2019
$720m
GROWTH EQUITY VC
Total funding: $720m
Company HQ
Main-Taunus, Eschborn, Germany
Leadership
Sebastian Ceria
(CEO)Previously served as the CEO of Axioma, which they founded and led since 1998. Before this they were an Associate Professor of Decision, Risk and Operations at Columbia Business School.
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