Senior Data Solutions Architect

1 day ago


Kraków Wrocław, Czech Republic Unit8 SA Full time

As a key member of our agile project teams, you will be responsible for designing, building, and maintaining data solutions that drive business outcomes for our clients.

  • You are a seasoned software engineer with expertise in computer science fundamentals and mastery of at least one widely adopted programming language (Python, Java, C#, C++).
  • Proficient in developing distributed systems and working with high-volume heterogeneous data, preferably with distributed technologies such as Spark.
  • Familiarity with data governance, data access, and storage techniques is essential.
  • You possess strong client-facing skills: comfortable interacting with clients, delivering presentations, and problem-solving.
  • Travel may be required to meet with clients and the team (mainly in Europe - up to 10% of your time).
  • In Poland, you can register as a sole trader (self-employment). We can assist with registration if needed.

About Us

Unit8 SA is a fast-growing Swiss AI and data analytics consulting company dedicated to solving complex problems in traditional industries like automotive, chemical, financial services, manufacturing, and pharma. We partner with top European organizations to address operational, financial, manufacturing, or R&D challenges. Since our founding in 2017, we have successfully delivered over 155 projects and grown to 100+ talented individuals across 5 locations.

Our mission is to drive AI and data science adoption in non-digital industries and accelerate their digital transformation. We allocate resources to projects that matter to us, including pro-bono and 'engineering for good' initiatives. Learn more about our passions at Unit8 Talks and on our website.

Some examples of our projects include:

  • Developing a real-time production line monitoring system for the pharmaceutical industry to enhance throughput. Technologies used: AWS, EKS, CloudFormation, Docker, Python.
  • Crafting a system to calculate and deliver global climate scores, estimating climate change's impact on natural disasters for the insurance industry. Technologies: PySpark, Python, Proprietary Data Processing Platform.
  • Built a modern data science platform featuring a data lake for the chemical industry. Technologies employed: Azure, ML Studio, Data Factory, Databricks, Spark.

Your Key Responsibilities Will Include:

  • Designing, building, and troubleshooting data pipelines and processing systems crucial for production and analytics applications using open-source and closed-source technologies.
  • Driving optimization, testing, and tooling improvements to ensure data quality.
  • Collaborating with software engineers, ML experts, and stakeholders, seizing opportunities for learning and leadership.
  • Working within multi-functional agile teams to continually experiment, iterate, and deliver new product objectives.

Key Requirements:

  • Data engineering expertise.
  • Team player with strong communication skills.
  • Problem-solving ability.
  • Experience with distributed systems and data modeling.
  • Proficiency in hadoop, Python, SQL, Storage, and Client-facing skills.
  • AWS, Kafka, Docker, Git, Airflow, GCP, Azure, Databricks, Java, Scala experience.

We Offer:

  • Jira, Github, Agile, Scrum, Kanban tools.
  • Sport subscription, Training budget, International projects, Mentoring program.
  • Friendly atmosphere, Team budget on entertainment, Team building events, Internal trainings/meetups.
  • Internal tech talks, Masterclass training, internal webinars, Flat structure, Small teams, Flexible hours, Home office.
  • No dress code, Free coffee, Free snacks, In-house trainings, Modern office space.


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