Chief Data Solutions Architect
4 days ago
We are looking for a talented Data Engineer to join our team at Unit8 SA. As a member of our agile project teams, your mission will be to build solutions and infrastructure aiming at solving the business problems of our clients.
- You are a proficient software engineer who knows the fundamentals of computer science and you master at least one widely adopted programming language (Python, Java, C#, C++).
- You know how to write distributed services and work with high-volume heterogeneous data, preferably with distributed systems such as Spark.
- You are knowledgeable about data governance, data access, and data storage techniques.
- You have strong client-facing skills: comfortable interacting with clients (business & technical audience), delivering presentations, problem-solving mindset.
- You are willing to travel to meet with our clients and the team (mainly in Europe - up to 10% of your time).
- You are eligible to register as a sole trader (self-employment) in Poland. Don't worry if you don't know how to do the registration, we can help with that.
About Us
Unit8 SA is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organisations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D.
We have successfully delivered more than 155 projects and have grown to 100+ talented individuals across 5 office locations.
Our Mission
Our mission is to drive the adoption of AI and Data Science in the non-digital industries and to help accelerate their digital transformation. Among its activities, Unit8 dedicates a part of its resources and time on projects that deeply matter to us - that includes collaboration on pro-bono and 'engineering for good' causes.
Examples of Our Projects
- Building a real-time production line monitoring system for the pharmaceutical industry in order to improve the throughput of the production processes for the Pharmaceutical Industry. Technologies: AWS, EKS, CloudFormation, Docker, Python
- Building a system for calculating and delivering global climate scores i.e. estimating the impact of climate change on the risk of natural disasters (i.e. floods, wildfires & droughts) for the Insurance Industry. Technologies: PySpark, Python, Proprietary Data Processing Platform
- Building a modern data science platform including a data lake for Chemical Industry. Technologies: Azure, ML Studio, Data Factory, Databricks, Spark
Your Responsibilities
- Design, build, maintain, and troubleshoot data pipelines and processing systems that are relied on for both production and analytics applications, using a variety of open-source and closed-source technologies.
- Help drive optimization, testing, and tooling to improve data quality.
- Collaborate with other software engineers, ML experts, and stakeholders, taking learning and leadership opportunities that will arise every single day.
- Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
Requirements
- Data Engineering
- Team player
- Problem solving
- Distributed Systems
- Data Modeling
- Hadoop
- Python
- SQL
- Storage
- CAN
- Client-facing
- AWS
- Kafka
- Docker
- Amazon Web Services
- Data engineering
- Git
- Airflow
- GCP
- Azure
- Databricks
- Java
- Scala
Tools
- Jira
- GitHub
- Agile
- Scrum
- Kanban
Benefits
- Sport subscription
- Training budget
- International projects
- Mentoring program
- Friendly atmosphere
- Team budget on entertainment
- Team building events
- Internal trainings/meetups
- Internal tech talks
- Masterclazz training
- Internal webinars
- Flat structure
- Small teams
- Flexible hours
- Home office
- Startup atmosphere
- No dress code
- Free coffee
- Free snacks
- In-house trainings
- Modern office
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