Would you like to use your skills to help non-academic talent to
have the same career opportunities you have? Join the Heyvolution!
We use a rich data set we collect along the hiring processes of
many companies & machine-learning based matching technology to
connect people to their next job. Our vision is to become the
trustworthy career advisor for talent – making exhausting and
intransparent application processes a thing of the past.By the end
of 2020 we want to help 1 million people to find the right job to
live a fulfilling life.Our 3 main offers to you:An impactful role:
A rich data set is the core of our company. You will build and
shape our data warehouse and generate important insights for our
teams as well as our b2b clients. We so far have over 700000
applications going through our system.Follow your own path: We have
a 7-step career plan with equal paths for managers and individual
contributors. You have the opportunity to develop yourself in any
direction with a wide array of technologies and the support of
senior engineers & data scientists that love to learn from each
other. Check out our Stack.A welcoming company culture: Our values
– Teamwork, Entrepreneurship, Drive – are integrated in all areas
of our organization and build the core for a respectful and
people-focused culture. Learn more.What you can contribute.✓ As a
senior DWH engineer, you will have the technical ownership of our
Data Warehouse and will need to take architecture decisions and
find engineering solutions for scalability✓ You will design end to
end ETLs, implement data modeling solutions and build a data
infrastructure that enables our BI Analysts and Business
Stakeholders to take meaningful data-driven decisions. ✓ To ensure
data consistency, quality, and availability will be one of your
main goals✓ You build and maintain data archiving mechanisms✓ As a
senior, you will be responsible for the technical specification of
our projects and the creation of projects to improve and maintain
our infrastructure✓ Leverage modern technologies and tools
(Redshift, Snowplow, Airflow, Tableau, Salesforce, etc.).What you
need to bring.✓ Completed studies – preferably with a focus on
statistics, mathematics, computer engineering or a related field.✓
Work experience as a Data Warehouse Engineer in Business
Intelligence or similar.✓ You are very comfortable managing large
amounts of data in an efficient and scalable process.✓ You are
familiar with best practices for data architecture.✓ Exposure to
Redshift or other comparable DWH technologies is required, as well
as with ETL systems.✓ Strong analytical and problem-solving skills
and an eye for details.✓ Ability to work in a fast and practically
oriented environment.✓ Clear and structured communication of
ideas.✓ Experience with Python for ETL or analysis would be a
plus.✓ Fluent in EnglishWhat our employees also like about us:✓
Diverse Team: 29 different nationalities, 43% females (34% female
leaders), 45% of employees working in tech, LGBT+ champion✓ Secure
Job: Over 1’000 large clients, proven business model & over
15M€ financing✓ Work-Life Balance: Flexible working mode ✓ Perks
& Benefits: weekly team lunch, annual company retreat, urban
sports membership, employee stock options, a 1-month paid
sabbatical (after 3 years) and much more✓ Great Office: Kreuzberg,
Paul-Lincke Ufer – great lunch options and food markets close by✓
High-quality equipment: Standing desk, MacBook of choice, etc.The
proof:Kununu: http://bit.ly/HJkununu Glassdoor:
http://bit.ly/HJglass Top 25 LinkedIn Startups:
http://bit.ly/top25li Top Tech Employer in Berlin:
http://bit.ly/happyHJ
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