Senior Data Engineer, Datasite
Python
SaaS provider for the M&A industry
Open for applications
SaaS provider for the M&A industry
1001+ employees
Open for applications
1001+ employees
Company mission
To empower the dealmaking community to work smarter and faster.
Role
Who you are
- 5+ years developing scalable industry-ready software applications in Python
- 3+ years implementing data processing pipelines/ETLs
- 2+ years working with advanced MongoDB and SQL + Elasticsearch ideally
- Solid understanding of computing scalability (multiprocessing/threading, distributed computed)
- Some hands-on experience with common/modern data frameworks (esp. GCP, DBT, Snowflake)
- Outstanding problem solving skills for performance optimisation
- It is hard to set expectations with respect to soft skills, as everybody may contribute in their own special way
- Product-driven. You might feel your professional interests revolve around building complex systems thanks to advanced design patterns. We rather feel strongly about achieving product goals. This might involve taking pragmatic shortcuts, and even possibly writing some inelegant code along the way. That is just fine sometimes - as long as we factor in debt.
- Socially open. We are neither the nerdy types nor some cold-blooded serial coders. We often build software making creative (and possibly weird) analogies with music, philosophy or football, and come up with solutions outside of the strict confines of our desks
- Taking responsibility for making things happen. This is about self-motivation, being forward thinking and embracing accountability for pushing the Product into the right direction
- Humble. Everybody knows very little. However, we can get really good in certain areas: we believe in the so-called growth mindset, meaning everybody can learn pretty much everything. This makes us nonetheless humble in our attitude with others
- Curious. We spend a lot of time at the office around our fellow co-workers. We like to share our passions (travel, food, books, sports, etc. etc.) and interact beyond tech
What the job involves
- The kind of data engineer we are looking for is a software engineer first, with a strong focus (at least initially) on Python programming and scalability
- Write Python pipelines for semantic processing (NLP) and data augmentation in general:
- Vectorisation (embeddings) to/from MongoDB/Pinecone
- Named Entity Recognition (NER) to/from MongoDB
- Elasticsearch indexing
- Write Python transformation pipelines for derived data around companies
- Compute insightful data points from raw company data
- Maintain Python framework for data point computation
- Level up the technical capabilities of your team, esp. junior teammates
- Contribute to task breakdown and phasing with Tech Lead
- Implement cloud-based data acquisition/ETL pipelines (esp. with Airflow, DBT, Snowflake)
- Expand web scraping capabilities (Pub/Sub, GCS, CloudRun)
- Move to a Tech Lead role as the tech organisation grows
Our take
As M&A deals continue to increase in both size and frequency, key stakeholders have been actively seeking tools to streamline their work. Datasite emerges as a solution. Having transitioned from its original focus on communications, the company now offers a suite of SaaS products tailored for M&A professionals, serving approximately 75% of the leading legal firms in the field.
Benefiting from its extensive experience in the industry, Datasite has successfully transformed into a more contemporary business entity. It has recently introduced highly acclaimed AI-powered technology to assist in deal preparation, asset marketing, and facilitating buy-side acquisitions.
With significant global expansion and strategic acquisitions, Datasite remains committed to enhancing its platform capabilities. Notably, in March 2023, it unveiled Datasite Cloud, specifically designed to streamline every aspect of the dealmaking process within a unified platform.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Culture and benefits built around work-life balance
- Extensive resources to support physical and mental health
- Employee assistance program
- Generous retirement plans
- Incentives for referring new colleagues
- Learning, training and mentoring programs
- Cross-functional projects
- Stretch assignments to help you progress
- Receive feedback and earn bonuses from peers & managers
- Employee bonding activities
- ESG and charitable team initiatives
Company HQ
Downtown West, Minneapolis, MN
Articles
Leadership
Rusty Wiley
(President & CEO, not founder)Before joining Datasite, Rusty held various executive roles at IBM Corporation, most recently, as General Manager, Banking & Financial Markets. Upon joining Datasite in 2014, Rusty led the successful transformation from a communications and print-related business into a global M&A SaaS technology company.
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