Through the power of AI and Big Data this company have developed a number of data driven tools and platforms aimed at delivering a transparent financial solution. Focusing purely on sustainable investment! If you want the leave the planet clean and beautiful for the next generation then you share the ethos of this company.
This group has 4 arms:
A Data Provider: Assessing the performance and sustainability of companies worldwide.
AI: An advisory and technology company with an AI engineer for forecasting investment opportunities
Asset Management: Investment management company investing in sustainable equities
They focus on R&D of AI, ML, Data, Finance and sustainability.
This company has development hubs in London and Frankfurt, you can choose which you are based at. There is also the option for Home Office but you will be required to travel to the office when needed so being located within a few hours of either of these cities would be hugely beneficial.
Take charge of the processes, from Data ingestion to calculation and delivery.
Working with Modern Tech for maintaining & developing the Data pipelines. These need to extract, transform & load data from a variety of sources into their systems.
Keep track and guarantee a high level of data quality and consistency.
Maintain the processes for obtaining and importing data for immediate use/storage.
Take charge of guiding & mentoring more junior colleagues.
Solve problems related to data processing & collection.
Experimentation with Data.
Stay up to date with all the latest Data Tools & Technologies.
5+ years Data Engineering
Strong programming skills (ideally Python, Go is a plus)
Cloud technologies (e.g. GCP, AWS)
Experience with ElasticSearch
You are a wizard in SQL, PostgreSQL, NoSQL and distributed databases
ETL and DWH (Concepts, Tools, Architectures, Technologies) etc
Knowledge of Kafka, Pub/Sub or similar
Analytical and driven candidate with enthusiasm for modern Data and Big Data Technology.
Experience & confidence taking the lead in projects.
Professional English.
Nice to Have: Spark, Hadoop, Kinesis, GCP, AWS, Kinesis, ML Methods and tools, Mobile tracking technologies.
Company share program
The opportunity to work with a team of experts in their field
Take control of your own tasks and activities
Work in areas of R&D and cutting-edge tech
Relocation and visa support
Apply ASAP before it’s too late!
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#J-18808-LjbffrTyp:
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2+ yearsArbeitsverhältnis:
AngestelltVeröffentlichungsdatum:
03 Nov 2025Standort:
Frankfurt
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