Software Engineer for Data-Intensive Systems

Do you want to help our customers utilize their Data like never before and start their Machine Learning journey?

About the Position

Neurospace is currently looking for a Software Engineer, who will help build innovative data and machine learning solutions. As a Software Engineer you will be working on data-intensive systems. You will be responsible, together with your team, for advising, designing, building, deploying, and operating data-intensive systems together with our partners.

You will work closely with the rest of the engineering team to ensure that we build the best possible solutions for our partners. This gives you ample opportunity to develop your professional competencies in this area while being part of a bootstrapped scale-up with sustainable growth.

Is Neurospace a great place to work?

We help some of the biggest and brightest companies within their industry to use their data to improve their business, e.g. lowering their CO2 emissions. Did you know that 10% of the climate goals can be fulfilled by just using data from buildings smarter? Imagine if you could utilize data from some of the biggest productions in Denmark!

Our partners (yes we call our customers partners) respect us for our knowledge and willingness to help them learn and build great data-driven solutions. We have a passion for using our abilities to do good in the world and we want to be part of the solution to the climate crisis.

Neurospace builds both data platforms, machine learning, and MLOps solutions for our partners. We use principles and concepts such as Data Mesh and have a focus on making data easy to use when we build data platforms together with our partners.

Our way of working includes elements from Extreme Programming (XP) and scrum. We always work in teams and ensure that no one is left alone - we work together and have a high sense of team spirit. E.g. we do pair programming, always work in teams, and like to have testable code. Together with our partners, we do agile development to ensure that we deliver the right things the right way. We value high-quality work, we always write documentation, use version control, and ensure reproducibility with CI/CD to make as much of our work automated.

The Work

• Together with the team your will be working on hard data problems in close collaboration with our partners

• Advise our partners in data opportunities and technologies, challenge their expectations, and give suggestions as to how they can improve as an organization

• Be part of road mapping and workshops together with our partners

• Design and develop “Big Data” platforms that focus on the use of data more than collecting it

• Design and develop MLOps solutions to empower data scientists at our partners to do machine learning faster and more structured

• Use good engineering disciplines to build rock-solid solutions with the right quality and documentation

• Develop CI/CD pipelines to deliver solutions in test and production.

• Design and develop software applications that make it easier for the partner to use data

• Design APIs and create integrations both for operational and analytical data

• Create streaming pipelines to ensure fast delivery of data

We are agnostic but you are likely interested in what tech we are currently using:

Linux (Pop OS!), git (Github / Azure DevOps), Go, Python, Bash, Dagster, Databricks (Apache Spark, Delta Lake, and Unity Catalog), Big Query, Purview, Linkedin Datahub, Apache Kafka, Apache Beam, Azure Data Lake Storage 2, Google Cloud Storage, Purview, Containers (Docker / Podman), Cloud Run, Grafana, and more.

Your competences

We are flexible as long as you know how to deliver software and data solutions

Our expectations towards you:

• Have a passion for learning new things and figuring out how to best solve hard problems

• You possess soft skills and have empathy toward others

• You have been working with software engineering before and see data-intensive systems as a fun challenge

• You are hands-on and like to wrangle data and build platforms which makes it easy to process GBs or TBs of information

• Want to learn or is well versed in SQL and Python

A plus but definitely not required:

• You have worked with Apache Spark (Databricks) or Apache Kafka before

• Knowledge and insights about the manufacturing, utility, and energy sectors

• You know about Cloud Native, maybe you have been part of the movement?

• Know your way around one of the big cloud providers (Azure, GCP, AWS) and how to consume managed services

• Have knowledge from building “big data” systems

• You have a completely different background than us, e.g. from another field/profession

We offer

• Remote first (occasionally onsite with partners and team events)

• 4-day working week, 32 hours (Monday - Thursday)

• Flexible working hours to keep a sustainable work/life balance

• One extra week of vacation days

• Possibility to be covered by the company’s health insurance

• Possibility to live abroad

• Equality in Maternity Leave

• To be part of the growth phase of a scale-up company

• Rich opportunity for upgrading your skills

• Time for reading and learning new things on the job

• Build something new where your work will have a high impact on how we do as a company

• A team that cares for each other, and often meets outside of work for different events

• Be part of changing how companies value data and help reach the climate goals

• Fun company events, which include but are not limited to hackathons (whole weekend) or an evening with your teammates at a nice restaurant

Neurospace works remotely to improve work/life balance and increase efficiency. This makes it possible for you to fit in doctors appointments, drop off kids in kindergarten, or take a run in the middle of the working day if you want to. Being an astronaut (as we call ourselves) in Neurospace you will have plenty of opportunities to meet with your team while working on partner projects, going to trade fairs, playing badminton, or having internal offline events for knowledge sharing or playing board games.

Working remotely is equal in Neurospace meaning that everything will happen online such that information is shared equally. Even though you will have flexible working hours, they will still be affected by customer meetings, that require you to be present at a certain time. We strive to be flexible when it comes to our partners and some of them wish to meet face-to-face.