BUSINESS OVERVIEW:

Galytix is a London-based software firm delivering a Data Operating System for Financial Institutions globally. Empowers influential decision makers with actionable insights by connecting the right data at the right time with the right knowledge and algorithms. The Platform leverages the power of generative artificial intelligence to ingests and structure data regardless of sources, automates manual processes, runs advanced analytics and machine learning models and spreads the insights across the organisation – in a World’s First Fully Integrated Solution.

DETAILED ROLE DESCRIPTION:

Senior Data engineer helps to architect, design, implement, and optimise our data ingestion, transformation and spreading pipelines and processes. He or she develops data models, processing pipelines, back-end services supporting the data science teams, automates processes, build integrations, builds analytics.

DESIRED SKILLS:

• A university degree from a reputed University with a record of academic excellence in Mathematics, Computer Science, Engineering, Physics or similar.
• 3+ years of relevant experience in Data Engineering, warehousing, ETL, automation, big data and cloud technologies, etc.
• Ability to write clean, scalable, maintainable code in Python. Has good understanding of software engineering concepts and patterns. Proficiency in other languages like Scala, Java, C#, C++ are an advantage.
• Proven record of building and maintaining data pipelines deployed in at least one of the big 3 cloud ML stacks (AWS, Azure, GCP).
• Hands on experience with
  1. Open-source ETL, and data pipeline and orchestration such tools as Apache Airflow and Nifi.
  2. Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb, Kafka.
  3. Workflow orchestration tools like Apache Airflow.
  4. Containerisation with Docker, deployment on Kubernetes.
  5. NoSql and graph databases.
  6. Unix server administration and shell scripting.
• Experience in building scalable data pipelines for highly unstructured data.
• Experience in building DWH and data lakes architectures.
• Experience in working in cross-functional team with software engineers, data scientists and machine learning engineers.
• Experience in working with or leading an off-shore team.
• Proven record of building data science environments deploying ML solutions in at least one of the big 3 cloud ML stacks (Azure/Aws/GCP) and on Kubernetes clusters.
• Excellent written and verbal command of English.
• Strong problem-solving, analytical, and quantitative skills.
• A professional attitude and service orientation with the ability to work with our international teams.

WHY TO JOIN GALYTIX PRAGUE?

• We are a mission-driven company that is revolutionizing the Insurance and Banking industryand what drives us is the positive feedback that we often receive from our clients.
• Our team in Prague is growing and we are already very diverse by origin, hobbies, seniority, or functional backgrounds. We have no doubts you will fit in as well.
• You will work closely with senior leaders who have individually served several CEOs at Fortune 100 companies globally. Be ready for an environment that is dynamic and where your opinions are expected and heard.
• Co-founders Raj and Jan are active in the day-to-day agenda of the company and easy to approach for all of us.
• You can build skills and connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
• Take advantage of the unique learning and personal growth opportunity. We have formal training as well as informal knowledge-sharing sessions.
• Prague office is located in WeWork in the city center of Prague and in a building which is an architectural Czech masterpiece combining a modern building and historical baroque - renaissance palace. Come and see the breathtaking view from our rooftop terrasse!
• We meet in person in the office, we celebrate birthdays, we go out for lunches or have ping-pong refresher games, and beer after work, while we preserve the hybrid way of working. Enjoy free coffee, tea, free beer Thursdays, and other social events/happy hours with us!

Would you like to find out more about us in Prague? Then do not hesitate to apply.