We are currently looking for a Data Engineer to get a firm grip of all the data we have and make it available for analysis, general data science and reporting.
What you’ll be doing
As our product and data collection capabilities are continuously improving, we know we have the right data, but we need more hands to get data in the right place and in the right format for it to be useful. Some data needs are near-real-time while others are completely offline - we expect you to be able to choose the right tool for the job.
You will enable analysis by bringing data from various data sources into a DW. These sources include various relational and document databases as well as APIs and flat files - just to name a few. You will also make analysis easier by pre-processing, data wrangling and sometimes feature engineering. You will own the analytics infrastructure from implementation to maintenance, keeping things running smoothly.
Previous experience of data engineering is a must
- Hands-on cloud technology skills (We’re on AWS)
- Data Modeling/Warehousing (We're migrating to Snowflake)
- Database optimisation
- Enable analysis by making data accessible through ETL (We use AWS Glue/pyspark, but you can bring your own tools)
- Scripting/programming experience (e.g. Python)
- Production-ready DevOps (needed for customer-facing elements)
Nice to have, or willing to learn:
- Feature engineering/data enrichment
- Knowledge of the finance industry is considered a plus
Just as important as the technical requirements is the cultural fit! We want someone who enjoys working and sharing knowledge with others, and who is flexible and accommodating. Our company is based on transparency, bravery and respect. We like to think of ourselves as ambitious, open-minded, fun-loving individuals. Does that sound like you? Great, you’ll fit right in!
Why work for Zervant
Zervant is a flat organisation, with minimal bureaucracy. We believe that people perform best when given responsibility, rewarding work and the authority to try out new ideas. We share our learnings, mistakes and achievements openly. You’ll gain insight into the operations of an entire company and not just your cubicle (in fact, there are no cubicles in our office, we prefer open working-spaces).
All work and no play doesn’t do any good on the long run. We pay close attention to the social side of things and strive to create a relaxed and fun environment. Somewhere you look forward to going when you get up every morning, where you have great colleagues and interesting work to keep you going. Find out more about who we are and what we stand for here.
Sounds tempting? Then take the bull by the horns and grab this opportunity to join our awesome team. Apply now, as we interviewing continuously and will fill the role as soon as a suitable candidate is found. Please apply by 31st of May the latest.
If you have any more questions:
Ilkka Peltola, Head of Data Science