Data Warehouse Engineer, HeyJobs
Machine Learning Team
Recruitment & talent platform
Job no longer available
Recruitment & talent platform
201-500 employees
Job no longer available
201-500 employees
Company mission
To help everyone find the right job to live a fulfilling life.
Role
Who you are
- A strong interest in understanding and driving the business meaning and impact of data
- Experience in applying best practices for data modeling and data architectures
- 3+ years of advanced SQL experience
- You love crafting clear, easily understandable SQL code to untangle intricate business problems
- Demonstrated proficiency in Python, with an ability to handle mid-level tasks (1+ years)
- Willingness to work with both SQL (~70%) and Python (~30%)
- Prior experience of doing data transformations with Pandas
- A passion for well-architected, testable, and documented code
- Strong analytical and problem-solving skills and an eye for detail
- The ability to work in a fast and practically oriented environment
- Pragmatic, can-do attitude (you like to dive deep and get things done)
- Willingness to learn new technical concepts and apply them
- Willingness to learn and grow professionally
- Drive and ability to proactively assume ownership and work independently
- Willingness to mentor, coach and grow your more junior teammates
- A clear and structured way of communicating ideas
- Excellent English communication skills (German not required)
What the job involves
- In this role, you will assume responsibility for the Budget Distribution System and other data pipelines and tools related to Business Intelligence and Machine Learning
- Additionally, you'll have the opportunity to influence the selection of the tech stack and the appropriate direction to support business features
- You will also be involved in projects to solve scaling challenges related to growth and internationalization
- You will maintain complex DWH models and the logic shaping inputs for the Budget Distribution System as well as continue adding new components to this and other pipelines
- You will kick-off new greenfield data marts for the future ML/DS projects
- Additionally, you will be a part of the Data Engineering Guild which is an internal group of professionals from various data teams that regularly meet to share knowledge and learn together
- Help contribute to the technical ownership of the machine learning production systems that are central to our operations and competitive advantage
- Work closely with our development, data science, and machine learning teams to design and build the production systems that encapsulate and power these programs using robust data modeling, SQL, Airflow, DWH and AWS components
- Be responsible for the data pipelines so that our machine learning and other data services can easily adapt to our rapid growth
- Be comfortable sharing ideas and discussing different approaches in an environment where your opinion has a direct impact, being part of our international, experienced, and highly motivated team
- Be encouraged to work independently, using your conceptual and creative skills
Our take
For a long time, recruitment has relied on the same outdated processes and job boards. HeyJobs leverages machine learning to modernise the sector with a self-learning algorithm that matches workers with jobs that fit their profile. It also optimises job adverts, saving employers money on their advertising spend.
HeyJobs is now used by enterprises such as Sky, PayPal, Allianz and Motel One among many others, and over 750,000 people have found jobs through the platform. Its success in breaking into a market dominated by large incumbents like TotalJobs and Indeed is a testament to the ability of its cutting edge product to match talent to opportunities.
The company has accrued impressive funding, which has enabled it to invest heavily in developing its AI and expanding into new markets. Despite success, in 2025 it had to cut jobs and shut locations - though this likely resulted from poor economic conditions rather than the company's missteps.
Freddie
Company Specialist at Welcome to the Jungle
Insights
14% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2022
$40.4m
SERIES B
May 2019
$11.6m
SERIES A
Total funding: $55m
Company benefits
- Diverse team: English is our working language. We have 23 different nationalities, 47% women (50% female leaders), a team of 40+ in tech, and are an LGBT+ champion
- High-growth stage: €20M+ in funding, currently raising a Series B, and more than doubling the team in 2022
- Work-Life balance: Hybrid working mode with 2 flexible days remote per week - due to COVID, currently 100% remote with the option to work from the office
- Great office: at Paul-Lincke Ufer (Kreuzberg) - great lunch options and food markets close by
- Perks & benefits: Mila health, discounted urban sports membership, team lunches, free drinks at the office, and much more
- High-quality equipment: Standing desks at the office, laptop of choice (Thinkpad / MacBook), headset, monitor for remote work
Company HQ
Kreuzberg, Berlin, Germany
Leadership
Marius Luther
(CEO & Co-founder)Previously worked as a Consultant at McKinsey, and was CMO of Wimdu. Was Founder & CEO of Memorado.
Marius Jeuck
(Co-founder)Was Co-Founder & Head of Data Intelligence at Wimdu, and Founder & CTO of Memorado.
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