Careers

Developing your skills beyond the known frontiers

Our team consists of PhD level professionals with backgrounds in AI, computer science, physics and sustainability

Why come work for us?

Entis is an exciting company to work for because of its dynamic and pioneering atmosphere, as well as the opportunities it offers for your continued development while working at the cutting-edge frontier of AI, big data and sustainable investment results. Our team consists of PhD level professionals with backgrounds in AI, computer science, physics and astrophysics who have years of experience in professional business consulting. Within this team, you will get the support and space to perform at your very best. Interested? Follow us on LinkedIn for vacancies, or send your open application with a letter of motivation. Become our next pioneering Entis team member.

Company perks

Truly make an impact on the world

With our work, huge investment decisions are made. Doing so, we make a huge impact on the world.

Intellectually stimulating

We work with very smart people and develop very complex products. Entis is a great environment for people who are keen to tackle interesting problems.

"Entis enables me to write quality software, for challenging problems, in a flexible home/work environment."
Karel Wesseling
Software Engineer
"A perfect place to turn your knowledge into innovative products and have direct & visible impact on making the world a better place"
Haili Liu
Co-lead sustainable development investment at Entis BV
"A great company to work for if you want to quickly learn new skills and make a positive contribution to this world."
Freek Boelders
Junior Data Scientist

Job openings

We are always open to hire new talent, even if there are no current job openings

Role description 

Entis has an automated data management pipeline that runs daily. It uses input from data sources (structured and unstructured) to produce the output – the Alpha and SDI data products. The Alpha datasets are delivered to the client daily.  

The automated data management requires intervention of an expert when some data quality issues or untrivial changes in the source data are detected. Fixing the data quality exceptions and checking the untrivial data changes is a part of the daily operations at Entis. 

The role of Junior Data Manager is to guarantee timely and smooth execution of the daily data management operations, as well as to ensure high quality of the input and output data for the Alpha and SDI datasets.  

The Junior Data Manager will supervise a team of 5-10 Junior Data Analysts (bachelor or master students) who analyze and fix data at a larger scale. 

The Junior Data Manager will work closely with, and get support from, the Senior Data Manager / Data Quality Owner. 

 

Responsibilities 

1 – Performing daily data management operations 

  • Monitoring the status of the ingestion and transformation pipelines 
  • Handling occasional issues and/or irregularities 
  • Daily analysis of changes in data 
  • Handling data quality exceptions 

 

2 – Leading a team of Junior Data Analysts 

  • Organizing a team of 5-10 Junior Data Analysts for a project to check and fix large chunks of data 
  • Preparing the process and instructions for fixing new data quality exceptions 

 

Requirements 

  • Having a university degree in Business, Finance, Mathematics, Computer Science, or other related disciplines 
  • Basic knowledge of and/or interest in learning about financial markets, asset management, and programming languages 
  • Eye for detail  
  • Analytical mindset 
  • Communication skills 
  • Nice to have: Interest in learning about various types of data structures and sources, as well 

 

What we offer 

  • International and open-minded culture 
  • Highly collaborative working environment 
  • Opportunities for learning and keeping up with innovation 
  • Competitive salary 
  • Flexibility in working remote as well as at our office in Utrecht 
  • Monthly get-togethers  

Role and responsibilities

  • Developing, testing, and maintaining data processing and NLP/ML solutions in the domain of large-scale text data processing with application in finance (generating data for asset managers for systematic investing)
  • Build reliable, efficient, and quality controlled solutions
  • Apply and guard architecture principles

Experience

  • Competent software/data engineer/scientific programmer having experience with (and deep understanding of) large scale data driven technologies for data ingestion, processing, and storage, and orchestration of these components into workflows.
  • Working with a cloud based environment is a plus.
  • Testing, continuous integration, and in general DevOps is a plus.

Behavior and knowledge:

  • Previously demonstrated quickly gaining an understanding of a new domain or has Entis data domain (companies, securities, structured and unstructured data associated with them) experience.
  • Balance between big picture and attention to detail mindset (think like a statistician act like an engineer)
  • Understand how to deal with issues w.r.t scalability, consistency, reliability, efficiency, and maintainability, and security.
  • Interest in new developments in the NLP/ML space
  • Team player, communicator, supportive, positive mindset, result driven
  • Know the strengths and weaknesses of each tool/technology and what it’s best used for is a plus.
  • Agile way of working in practice and knowing when it is appropriate to apply and when not is a plus.

Skills (Proficient)

Required:

  • Python (or one of the nice to have languages where they demonstrated the ability to properly build software in a new language via rapid learning)
  • SQL
  • Strong software engineering and design ability w.r.t data intensive systems

Nice to have:

  • Financial domain knowledge
  • Experience with data analysis
  • Scala/Java or C#
  • Spark/Databricks
  • Airflow
  • Azure Cloud (storage, Kubernetes and containers, SQL databases, Functions, virtual machines, etc)

Role and responsibilities

  • Researching, analyzing, and building proof of concepts in the domain of large-scale text data processing with application in finance (generating data for asset managers for systematic investing)
  • Building solutions keeping in mind how they are controlled for quality in production

Experience

  • Competent data scientist having experience with (and deep understanding of) deriving insights from real world data and building models
  • Working with a cloud based environment is a plus.

Behavior and knowledge:

  • Previously demonstrated quickly gaining an understanding of a new domain or has Entis data domain (companies, securities, structured and unstructured data associated with them) experience.
  • Interest in new developments in the NLP/ML space.
  • Curious, investigative, and explorative mindset
  • Team player, communicator, supportive, positive mindset, result driven

Skills (Proficient):

Required:

  • Python (or one of the nice to have languages where they demonstrated the ability to build solutions in a new language via rapid learning)
  • SQL
  • Strong data analysis skills

Nice to have:

  • Financial domain knowledge
  • Spark/Databricks
  • Azure Cloud (storage, Kubernetes and containers, SQL databases, Functions, virtual machines, etc)

Role description 

Entis has an automated data management pipeline that runs daily. It uses input from data sources to produce the output – the Alpha and SDI signals. The Alpha signal goes to the client the same day. The automated data management requires intervention of a human when some data quality issues or untrivial changes in the source data are detected. Fixing the data quality exceptions and checking the untrivial data changes is a part of the daily operations at Entis. 

The role of Data Management Operations Lead is created to guarantee timely and smooth execution of the daily data management operations, as well as to ensure high quality of the input and output data for the Alpha and SDI signals.  

Like “a spider in the data web”, the Data Management Operations Lead is the one who sees the data most closely and knows how it changes over time. Therefore, this person is the first one to notice if something goes wrong with the data due to a quality issue at a data provider or a software code bug at Entis. 

The Data Management Operations Lead is also the one who works closely with almost all other roles at Entis, namely the product owners, the developers of the data ingestion and transformation software, as well as the researchers and data scientists.  

The Data Management Operations Lead will supervise a team of 5-10 junior Data Analysts / Data Management Operators who are hired to analyze and fix data at a larger scale. 

 

Responsibilities 

1 – Performing daily data management operations 

  • Using dedicated tooling, analysing the status of the ingestion and transformation pipelines. Sending an alarm in case of issues and/or irregularities. 
  • Using tooling, daily analysing changes in the original and transformed data. Manually fixing known data issues. Sending an alarm in case of unforeseen issues and/or irregularities. 
  • Investigating data issues by querying the original data sources 
  • Using tooling, manually delivering product data to clients in case of more irregular data changes. Additionally communicating irregular data changes to clients. 
  • Helping to improve tooling to make it more efficient 
  • Helping to design and develop new data checks 

 

2 – Leading a team of junior Data Management Operators 

  • Organizing a team of 5-10 people for a project to check and fix large chunks of data 
  • Preparing the process and instructions for fixing new data quality exceptions 
  • Interviewing new candidates for the Data Management Operations team and training new team members 

 

Requirements 

  • Preferably having a university degree in Computer Science, Finances, Business Administration, or other related disciplines 
  • Experience and/or willingness to work in dynamic companies facing high client demands 
  • Competent with assessing and managing data quality of large-scale data production systems 
  • Basic knowledge of and/or interest in learning about financial markets and asset management 
  • Experience with SQL and working with databases 
  • Basic to intermediate programming experience 
  • Interest in learning about various types of data structures and sources, as well as research and development environments 
  • Eye for detail  
  • Analytical mindset 
  • Owner mindset 

 

We offer 

  • Market conforming salary 
  • Interesting, enthusiastic, and highly educated colleagues 
  • Opportunities for learning and catching up with innovation 

 

Please note:

Currently, all the positions for student jobs are filled, you can still apply but you might end up on a waiting list.

 

What we are looking for

Entis is looking for students who want to support us to improve the quality of our sustainability assessments. This includes a wide variety of tasks, ranging from extracting relevant data to  evaluating company documents according to established rules about what is sustainable and what is not.

 

Profile

• Affinity with sustainable solutions in the field of sustainable energy, health care, food, materials

• Works accurately and decisively

• Available 2-5 days a week

 

What we offer

We are flexible when it comes to working hours.

More than competitive salary.

Given the Covid-19 situation we expect you to work from home, except during the first week(s) when you’ll receive training on the methodology and tools used.

We adhere to the RIVM requirements for Covid-19.

If you’re interested, please fill in the form below

Please note:

Currently, all the positions for student jobs are filled, you can still apply but you might end up on a waiting list.

 

Role description 

Entis is looking for students who want to support us to improve the quality of the Alpha signals. This includes a wide variety of tasks, for example: 

  • Checking if company’s historic corporate events reflected in our data correspond to the one that could be found online (Wikipedia, news websites) 
  • Checking if our ML and NLP models/functionality produced correct result and help with model training 
  • Helping with daily data management operations, particularly to inspect changes in data about companies to guarantee its quality 

 

Requirements 

  • Eye for detail, working accurately and decisively 
  • Interest in learning about financial markets, as well as about individual publicly listed companies 
  • Interest in working with ML and NLP functionalities  
  • Availability: 2-5 days a week 

 

What we offer 

  • We are flexible when it comes to working hours 
  • More than competitive salary 
  • You are allowed to work from home 
  • We adhere to the RIVM requirements for Covid-19 

Our Office

Entis is located at Utrecht Businesspark Papendorp

Entis office - Papendorpseweg 100, 3528 BJ, Utrecht

Want to work for Entis?

Please fill in our job application form

Job application

Contact details

Address
Address
Street + house number
Addition (optional)
Zip/Postal
City
Country

Job

Maximum upload size: 10MB

Other