Junior Integration Engineer // Data Engineer für Heidelberg gesucht
Arbeits- und Stellenangebot im Regiobizz Arbeitsmarkt
Job Kategorie: IT/IT-Dienstleistung Informationstechnologie (IT)
Stellenangebot Basisdaten
- Arbeitsort:
-
DE 69118 Heidelberg
- Umkreis:
-
keine Angabe.
- Art der Arbeitsstelle:
-
- Letze Aktualisierung:
-
07.01.20252025-01-07
Stellenausschreibung: Junior Integration Engineer // Data Engineer
- Arbeitgeber bzw.
Arbeitsvermittler
-
paretos GmbH in Hamburg
- Branche
-
IT/IT-Dienstleistung
- Kategorie
-
Informationstechnologie (IT)
- Stellenbeschreibung
- Intro Paretos is the leading AI-based decision intelligence platform
to make effective, data-driven decisions across entire organizations,
enabling business users to evaluate complex data, predict future
scenarios and take optimal actions via a no-code UI and integrations
with no prior data science knowledge needed. As a "remote-open
company" with team members all over Europe, we strongly believe that
this ambitious path is only possible with a great and diverse team.
paretos is an inclusive company with equal opportunities for all. Our
corporate culture is guided by the principles of GUNG HO - we believe
in the synergy of worthwhile work, the control of achieving a common
goal, and the importance of cheering each other on. We are proud to
have brought together passionate, high-performing and caring people of
all genders, cultures, backgrounds and views. Together, they all form
the heart of the company and drive us to new heights every day. The
combination of remote work and regular onsite events is the key to
strengthening our team spirit and forming our culture. To keep this
up, we are happy to receive your application if you already live in
the Rhine-Neckar-Region in Germany , or if you’re open to relocating
. We want to continue and scale our very successful "Retention Growth"
strategy thus bringing the value of Decision Intelligence to more
customers in the DACH region and as the next step in other markets.
Join us as Junior Integration Enineer and be an integral part of this
growth - we can't do it without you! Tasks At paretos, you will be
part of the customer integration team that sets up the use-case of our
customers based on our powerful & standardized cloud platform. You
will work in a cross skilled team together with other engineers,
customer success managers and data analysts / scientist to bridge the
gap between the customers data and processes and the paretos product.
On the mission to help businesses to get a reliable and matching
predictions and recommendations from paretos you will be responsible
for: Write sql-transformations in dbt for our snowflake database to
automate the data transformation that map the customer's data to our
standard data schemas Implementing custom pre-and post processing in
dbt and python to maximize the value for the customer and minimize the
time-to-value of our onboarding Analyze customer data for issues
(supported by our platform) Setting up and monitor our automated data
pipelines, which do the ELT steps, trigger our forecasting and
recommendation modules and publish results Working together with
diverse and motivated teams to create concepts how our integration can
be brought to the next level and how we can scale the approach in
future Applying best practices for agile development, including clean
code, testing and code reviews to our customer specific
implementations Requirements Graduate degree in Engineering,
Data-Engineering, Computer Science , or a related technical field
Practical experience in SQL / relational databases (Experience with
dbt is a plus) Practical experience with Python Practical Experience
in Working with GIT Knowledge with data modelling concepts Knowledge
in infrastructure technologies (Docker, Kubernetes) is a plus You are
used to working autonomously and self-determined Fluent in English ,
German speaking is a plus Understanding of Data Science, Machine
Learning, Applied Science, Optimization or Business Rules is a plus
Benefits These little perks will be waiting for you if you become part
of the paretos-family: You are welcome to our beautiful office in
Heidelberg - nut you may also work in a hybrid setup partially in the
office, partially at home At the office, you can test your barista
skills and brew some great coffee to keep you going throughout the
workday or enjoy some coffee talks with your fellow paretoneers. (You
might even be awarded the next "paretos office barista of the year”
at our Christmas party!) Talking about the team: you’ll complement a
highly skilled & motivated team of paretoneers ready to hit the road
and have fun along the way Participate in our quaterly hacky days full
of creativity and new ideas We regularly enjoy professional and fun
events online and IRL with the whole team You’ll get the office
equipment you need to show off your full potential. We believe that
your capabilities shouldn’t be limited by hardware components Boost
your continuous learning journey with our personal learning budget!
Work whenever it fits best for you with flexible working hours Receive
a mobility budget to access various kinds of transportation whilst
setting off your carbon emissions If you are part of the paretos dog
club, feel free to bring your furry friend to the office We are
continuously expanding our benefits as we grow to ensure an
environment where our team members feel comfortable and happy to work
at. Closing This is it from our side for now. What about you? Are you
ambitious to disrupt the AI and Optimization world with us? Then send
us your application! Note: We encourage you to apply for this role,
even if you don’t match all the requirements 100% . As long as you
inherit the eagerness to learn, we are happy to be convinced that you
are the right fit for us.
- Qualifikation
- Arbeitskräfte
- Verdienst:
- n.a.
- Bewerbung an
- paretos GmbH
Am Strandkai 1
De 20457 Hamburg
Stellenangebot powered by
Die Veröffentlichung dieses Stellenangebotes bei regiobizz.de erfolgt mit freundlicher Genehmigung von GermanPersonnel im Namen des Stellenanbieters. Eine gewerbliche Nutzung dieser Daten sowie deren Veröffentlichung in jeder Form ist ohne ausdrückliche Genehmigung von GermanPersonnel strengstens untersagt.