Senior Fullstack Engineer / Backend

Salary Competitive
Equity To be negotiated

TLDR;

---technology---

MongoDB / Python / ETL tools / Big Data

---nice to have experience with: ---

time series, streaming, automation pipelines, optimization, data lake

---domain---

Analytics / Visualization / Machine Learning

Knowledge Work / Processes / Excellence


Role

We are looking for a skilled data engineer to join our ambitious team in Helsinki, Finland.

You will be responsible for the Analytics part of our solution, processing huge amounts of data, participating in design and development phases. Finding new insights and studying different improvement paths.

Workfellow is a real-time work intelligence software solution to make sense of work and to get manual stuff automated the smart way. It is not typical enterprise software, instead, we’re building a product with the consumerized look and feel that people love to use (⌐■_■).

Data is the oil/wind/nuclear power of the Workfellow Platform. GIGO applies here as well, so your role would be to find ways to improve our data collection while maintaining high privacy. Understanding how Windows works under the hood helps a lot.

Please note that we are a VC-backed startup in the seed/series A stage so we have a greenfield opportunity to generate something new. Naturally, the role would be evolving as the company grows (and it is).


Stack and skills

  • The current tech stack consists of MongoDB, SQL Server, Function App, Python applications and APIs - all running on Azure. We use Azure Pipelines for CI and Jupyter Notebooks to play with data. We experiment with Apache Kafka, Spark and more ... Our overall architecture consists of cloud services and a desktop agent/plug-in. As we’re focusing on the large enterprise segment, private cloud and on-prem deliveries are also in the scope.

  • Microsoft Automation API experience is a plus, as well as other APIs

  • Installer building and distribution

  • Data encryption in blood and high information security mindset

  • Graduated in Computer Science or similar, or are a self-taught superstar

  • EU work permit, based in Helsinki, Finland

  • SaaS product development, startup experience, or other interesting projects would be something we’re always keen to learn more about

For more information or questions please contact us at marina@workfellow.ai or phone number +358503225977

Perks and benefits

This job comes with several perks and benefits

Free coffee / tea
Free coffee / tea

Get your caffeine fix to get you started and keep you going.

Flexible working hours
Flexible working hours

Time is precious. Make it count. Morning person or night owl, this job is for you.

Near public transit
Near public transit

Easy access and treehugger friendly workplace.

Remote work allowed
Remote work allowed

You know how you perform best. Work from your couch, your favorite cafe or abroad when you feel like it.

New tech gear
New tech gear

Are you a true Tech Savvy? Macbook, trackpad, you name it, we get you covered.

Free office snacks
Free office snacks

Peckish after lunch? We got your back with soft drinks, treats and fruit.

See all 8 benefits

Working at
Workfellow

Today’s knowledge work is broken. Copy-paste-copy-paste-copy-paste all the time... Searching those damn files and relevant information. So much talent wasted! It’s the 2020’s. Modern work could and should be free of manual and repetitive work; for everybody from car designers to finance professionals. We are a unique team of software and knowledge work developers on a mission to put our years of experience into a single software product that does not need a degree to start using it: Workfellow discovers automation, digitization, and optimization opportunities automatically. Our real-time work intelligence software solution is a combination of data mining, analytics, and an intuitive application. Before founding Workfellow, we used to work with the leading European companies to find development and automation opportunities so their modern teams could focus on what matters to them. When sending a rocket to the moon, there are typically more critical things to focus on than filling spreadsheets or finding the same information again and again.

Read more about Workfellow

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