Data Engineer (Tallinn, Estonia)
Unit8 SA, Estonia
Job Description
Who We Are
Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics company dedicated to solving complex problems of traditional industries like automotive, chemical, finance, manufacturing and pharma. We work with some of the biggest organisations in the world to solve the challenges that directly affect their business, be it operations, finance, manufacturing or Ramp;D. Since our foundation, we have successfully delivered more than 50 projects.
Unit8’s 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 cases.
Unit8 is opening new location in Tallinn and looking for a Data Engineer to join our team.
As a member of agile project teams, your mission will be to build solutions and infrastructure aiming at solving business problems of our clients.
- You know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop.
- You know how to write distributed services in Python or Java or Scala.
- You are knowledgeable about data modeling, data access, and data storage techniques.
- You appreciate agile software processes, data-driven development, reliability, and responsible experimentation.
- You share the value of teamwork.
- You have strong client-facing skills: comfortable to interact with clients (business amp; technical audience), deliver presentations, problem-solving mindset.
- You are customer-focused and you have a service-oriented mindset.
- You are willing to travel up to 20% of your time to meet with your clients (mainly in Europe and outside covid time)
Requirements
What You’ll DoUnit8 is growing at a fast pace and your role can evolve and will depend from our clients’ challenges.These are some examples of projects that we have been working on:
- Building real time production line monitoring system for Pharmaceutical Industry. Technologies: AWS, EKS, CloudFormation, Docker, Python
- Building system for calculating and delivering global climate score for Insurance Industry. Technologies: PySpark, Python, Propriety Data Processing Platform
- Building a generic data science platform including a data lake for Chemical Industry. Technologies: Azure, ML Studio, Data Factory, Databricks, Spark
In general you will:
- Design, build, maintain, and troubleshoot data pipelines and processing systems that are relied on for both production and analytics applications, using 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.
- Design, build, maintain, and troubleshoot data pipelines and processing systems that are relied on for both production and analytics applications, using variety of open-source and closed-source technologies
Benefits
What We Offer- Work on client projects that have a concrete impact on their business
- The opportunity to join a fast-growing service company with a start-up atmosphere
- Mentorship program
- Learning activities such ML Reading Groups, knowledge sharing sessions with other engineers
- 10% of the time for self-development
- Knowledge sharing sessions with other engineers
- Compensation package including base salary and yearly profit share based on the performance of the company
- Cross offices/company wide frequent events like offsites