GeoPhy

In a world demanding ever greater transparency, property investment remains incredibly opaque. GeoPhy was founded to change just that. We aim to become the independent global source for information and analysis for everyone with financial exposure to real estate. “In God we trust. Everyone else, bring data!” - Bloomberg

First launched in the Netherlands as ‘OfficeRank’ in 2014, GeoPhy now focuses on the global property market. Co-founded by Teun van den Dries (CEO) and Sander Mulders (CTO), the management team combines strong entrepreneurial, technology, architecture and engineering expertise.

GeoPhy Kaunas County, Lithuania
Jul 22, 2017
Full time
To strengthen our office in Lithuania, we are looking for two people who are up for a challenge as Data Engineer. In our fast growing office in Lithuania, our Data Engineer stands at the core of a transformation in the global real estate market. To make this transformation happen, we need data. And a lot of it! The data pipeline at GeoPhy starts with you as you will search and gather the necessary information regarding real estate objects and real estate investment funds.  One of our new Data Engineers will be dedicated to automated data extraction while the other will be focusing on collecting data related to environmental, social and governance issues in real estate investment funds. In both positions you will transform this raw data into structured files which can be uploaded to our semantic database, making sure our clients have access to the right information to base their financial decisions upon. You will be enabling GeoPhy to become more sophisticated in its approach to manage large data streams, while at the same time enjoying a flat company structure and a competitive salary within a start-up setting where freedom, responsibility and above all growth is celebrated! We are a lean team, so your impact will be felt immediately! Up for the challenge? Come work with us! Responsibilities - Identifying reliable data sources, especially with regard to ESG data.  - Automating manual tasks by ways of PDF harvesting, scraping and other tools.  - Creating data files and processing them through custom programs.  - Reviewing data to assure its quality, resolve discrepancies and enhance incomplete datasets.  - Maintenance of archive files.  - Document the workflow of data collection.  - Partner up with team members around the globe to identify new opportunities. - Contribute to maintaining the great atmosphere in our office.  Requirements - University degree (preferably with a background in computer science, economics or mathematics).  - Excel skills.  - Knowledge of the programming languages Python and/or R, and ETL processes.  - Full working proficiency in English and an international mindset.  - Eye for detail and highly organized; at least a semi-perfectionist. - Problem-solving mentality leveraging internal and/or external resources. - Highly adaptive and flexible in order to keep up in a fast-changing environment. - Sense of humor and taking initiative to organize our Friday drinks every now and then.  Bonus Points For: - Previous start-up experience. - An understanding of the (global) real estate market. - Additional language(s)
GeoPhy London, United Kingdom
Jul 22, 2017
Full time
As a Data Engineer, you will serve as a data and analytics expert by sourcing, structuring and analyzing data in order to improve GeoPhy's database and enabling GeoPhy to become even more sophisticated in its approach to managing incoming data streams. You will be responsible for structuring data in a highly automated way in order for it to be processed into meaningful insights. Doing so, you will have the opportunity to accelerate our rapidly growing organization. We're a lean team, so your impact will be felt immediately. Up for the challenge? Come work with us! Responsibilities Set up multiple new high quality data pipelines, which require no or very limited maintenance by automating data input processes and effectively scaling these. Helping us gather the data that we need for our clients Effectively collect, assimilate and organize data from a wide variety of sources Remain in control of the quality of data input at all times Familiarize with existing data entry structure and propose / exercise ways to significantly simplify and improve processes (specifically on lower maintenance) Identify new opportunities, bottle-necks and efficiency-issues Actively coach team members to increase workflow efficiency Bring solutions to day-to-day challenges Contribute in a positive way to the atmosphere within the team Requirements Minimum 5 years of experience in a relevant role Passion for data Distinctive problem solving and analytic skills with a high degree of analytical rigor Ability to effectively and efficiently collect, assimilate and organize data from multiple sources Demonstrable familiarity with SQL, Python, Java, SPARQL and RDF. Understanding of data management and entry processes A quick learner with regards to (new) technology Desire and eagerness to contribute to the success of the company and grow along with it Independently driven, proactive, accountable, and reliable team player Full working proficiency in English Positive attitude Sense of humor Trustworthy and responsible International mind-set Bonus points ETL experience Linked Data Semantic Web Kafka, Stream Processing RDF / Sparql experience Background in computer science, econometrics, mathematics or a similar technical field Previous start-up experience An understanding of the (global) real estate market Additional language(s)
GeoPhy Delft, Netherlands
Jul 22, 2017
Full time
As a Data Engineer, you will serve as a data and analytics expert by sourcing, structuring and analyzing data in order to improve GeoPhy's database and enabling GeoPhy to become even more sophisticated in its approach to managing incoming data streams. You will be responsible for structuring data in a highly automated way in order for it to be processed into meaningful insights. Doing so, you will have the opportunity to accelerate our rapidly growing organization. We're a lean team, so your impact will be felt immediately. Up for the challenge? Come work with us! Responsibilities Set up multiple new high quality data pipelines, which require no or very limited maintenance by automating data input processes and effectively scaling these. Helping us gather the data that we need for our clients Effectively collect, assimilate and organize data from a wide variety of sources Remain in control of the quality of data input at all times Familiarize with existing data entry structure and propose / exercise ways to significantly simplify and improve processes (specifically on lower maintenance) Identify new opportunities, bottle-necks and efficiency-issues Actively coach team members to increase workflow efficiency Bring solutions to day-to-day challenges Contribute in a positive way to the atmosphere within the team Requirements Minimum 5 years of experience in a relevant role Passion for data Distinctive problem solving and analytic skills with a high degree of analytical rigor Ability to effectively and efficiently collect, assimilate and organize data from multiple sources Demonstrable familiarity with SQL, Python, Java, SPARQL and RDF. Understanding of data management and entry processes A quick learner with regards to (new) technology Desire and eagerness to contribute to the success of the company and grow along with it Independently driven, proactive, accountable, and reliable team player Full working proficiency in English Positive attitude Sense of humor Trustworthy and responsible International mind-set Bonus points ETL experience Linked Data Semantic Web Kafka, Stream Processing RDF / Sparql experience Background in computer science, econometrics, mathematics or a similar technical field Previous start-up experience An understanding of the (global) real estate market Additional language(s)
GeoPhy Delft, Netherlands
Jul 22, 2017
Full time
As an ETL Designer at GeoPhy you will be the front and center in an amazing transformation within the real estate market.The ETL Designer specialises in the design and development of the ETL environment, processes, programs, and scripts to acquire data from source systems and apply the data to the tables in the database. You will be enabling GeoPhy to become more sophisticated in its approach to managing large incoming data streams, while at the same time enjoying a flat company structure within a start-up setting where freedom, responsibility and above all growth is celebrated! We are a lean team, so your impact will be felt immediately! Up for the challenge? Come work with us! Responsibilities Capture and understand ETL requirements and translate into technical specifications Ensure accuracy and integrity of data through analysis, coding and problem resolution Design, develop, and test processes for extracting data from legacy systems or production databases Design, develop, and test processes for validating and conditioning data prior to loading into a data warehouse Design, develop, and test processes for loading staging data into a data warehouse (RDF, Ontology, Linked Data) Experience with Dimensional Data modelling Translate business needs into end product applications Partner up with several cross-functional team members (DBA’s, Data Quality Managers, BI) to identify new opportunities, bottlenecks and efficiency issues Contribute in a positive way to the atmosphere within the team Requirements Working experience and deep understanding of ETL tools  Strong SQL and database tuning skills Knowledge of Sparql, RDF, Ontologies, Owl, inference. Knowledge of python, ruby or shell scripting. Problem solving mentality leveraging internal and/or external resources Highly adaptive and flexible in order to keep up in a fast changing environment Full working proficiency in English Desire and eagerness to contribute to the overall success of the company and grow along with it Highly organized, at least a semi-perfectionist Sense of humor Trustworthy and responsible International mind set Bonus Points University degree with a background in computer science, management information systems, mathematics or a similar technical field Previous startup experience An understanding of the (global) real estate market Additional language(s)
GeoPhy Delft, Netherlands
Jul 22, 2017
Full time
As a Junior Data Engineer, you will participate in building an advance data processing platform to help GeoPhy to become even more sophisticated in its approach to managing incoming data streams. You will be responsible for structuring data in a highly automated way in order for it to be processed into meaningful insights. Doing so, you will have the opportunity to accelerate our rapidly growing organization. We're a lean team, so your impact will be felt immediately. Up for the challenge? Come work with us! Responsibilities Learn new technologies quickly. Program quality data pipelines, which require no or very limited maintenance by automating data input processes and effectively scaling these. Helping us gather the data that we need for our clients. Program routines to move data between systems.  Effectively collect, assimilate and organize data from a wide variety of sources Remain in control of the quality of data input at all times Familiarize with existing data entry structure and propose / exercise ways to significantly simplify and improve processes (specifically on lower maintenance) Identify new opportunities, bottle-necks and efficiency-issues Bring solutions to day-to-day challenges Contribute in a positive way to the atmosphere within the team Requirements Background on computer science, mathematics or information systems. Passion for data Distinctive problem solving and analytic skills with a high degree of analytical rigor Demonstrable familiarity with SQL, Python, Java. Understanding of data management and entry processes A quick learner with regards to (new) technology Desire and eagerness to contribute to the success of the company and grow along with it Independently driven, proactive, accountable, and reliable team player Full working proficiency in English Positive attitude Sense of humor Trustworthy and responsible International mind-set Bonus points ETL experience Linked Data Semantic Web RDF / Sparql experience Kafka, Stream processing Background in computer science, econometrics, mathematics or a similar technical field Previous start-up experience An understanding of the (global) real estate market Additional language(s)
GeoPhy Delft, Netherlands
Jul 22, 2017
Full time
In this role, you will join the development team to use modern web technology to implement solutions for making our data accessible for our clients. Our platform is under constant development and our dataset is growing rapidly so your input will have a direct impact on our customer experience. Doing so, you will have the opportunity to accelerate our rapidly growing organisation. Up for the challenge? Come work with us! Responsibilities Create intuitive and smooth running dashboards capable of showing large quantities of data Build smart component libraries that help easy client-by-client customizations Independently design, develop and deploy web platforms Identify new opportunities, bottle-necks and efficiency-issues Partner with team members to increase workflow efficiency and automation Bring smart solutions to day-to-day challenges Contribute in a positive way to the atmosphere within the team Requirements Preferably University level degree Computer Science, Electronic Engineering or Mathematics Minimum of 5 year experience as a Frontend developer Experience with the various frameworks and the ability to make decisions between them You get hyped about terms like ES6, PostCCS and Linting You are the boss when it comes to HTML5, CSS3, Javascript and D3 Full working proficiency in English Independently driven, proactive, accountable, reliable, team player Desire and eagerness to contribute to the success of the company and grow along with it Hands-on mentality Full working proficiency in English At least a semi-perfectionist Positive attitude Sense of humor Trustworthy and responsible International mind-set Bonus points AWS experience Data visualisation experience Active member of the open source community ElasticSearch (Big)Data oriented experience Previous start up experience A (basic) understanding of the (global) real estate market PHP and (No)SQL) experience