Czech Republic Job Openings
Galytix
Team Lead of Data Engineering
Prague
November 22, 2024
Currently Active
Prague, Czech Republic
Business Overview:
Galytix (GX) is a London-based software firm revolutionizing the banking and insurance industries with a specialized generative AI platform. Our GX Platform serves as a comprehensive Data Operating System, empowering credit analysts and claims managers with a personalized AI assistant designed to enhance productivity and decision-making.By connecting the right data, with the right knowledge, at the right time, GX provides influential decisionmakers with a competitive edge. Powered by sector-specific data and knowledge, GX is easily adaptable through an ontology layer, allowing it to reflect institution-specific rules and governance seamlessly.
Ingesting vast data sources and structuring unstructured data, the GX Platform integrates advanced analytics and machine learning models to deliver world-first insights and decision support in a fully integrated solution.
Role Overview:
As a Team Lead of Data Engineering, you’ll drive the design, development, and optimization of our data engineering pipelines and services with a strong software engineering mindset.You'll also play a pivotal role in fostering growth and collaboration within the team, mentoring junior colleagues, and refining processes to help us maintain excellence.
If you’re excited to make a lasting impact both technically and as a team leader, we’d love to meet you.
Desired skills:
We are looking for candidates with a strong educational background in Mathematics, Computer Science, Engineering, Physics, or a related field, along with 6+ years of proven experience in Data Engineering, including data warehousing, ETL, automation, cloud technologies, or Software Engineering in datarelated areas.Every day, you will rely on these hard skills, so if you haven’t already mastered them yet, we expect you to become confident quickly:
- Very strong software engineering principles to write maintainable, scalable code, primarily in Python (experience with Rust or C# is a plus).
- Data processing and manipulation using Polars and Pandas, scaled via Apache Ray.
- Efficient use of various open-source data storage technologies such as S3, Apache Iceberg, Duck DB, Clickhouse, Postgre SQL, and others.
- Containerization and orchestration tools like Docker and Kubernetes, with automated deployments in cloud environments (AWS, Azure, GCP).
- Complex workflow orchestration using open-source tools such as Apache Airflow.
- Big data and distributed processing technologies, including Hadoop, Spark, and Kafka.
- Experience leading and mentoring junior team members, fostering skill development, collaboration, and process improvements.
- Cross-functional collaboration experience, working with software engineers, data scientists, and ML engineers to deliver high-impact solutions.
Why You Do Not Want to Miss This Career Opportunity?
- Be part of a groundbreaking AI project: Work on the world’s first personalized AI assistant for Financial Institutions, leveraging the latest advancements in Large Language Models (LLMs) to deliver unique data insights.
- Work with cutting-edge technology: If you like working with innovative tools, you'll appreciate our tech stack, including Apache Ray, Polars, Apache Iceberg, Clickhouse, Duck DB, and more – all used to push the limits of data engineering.
- Stay at the forefront of AI and data engineering: Join a team dedicated to staying on the leading edge of technology, providing you the opportunity to continuously learn and apply new skills in AIdriven data solutions.
- Contribute to a collaborative, engineering-centered environment where leadership and learning go hand-in-hand.
- Mentor and work alongside industry leaders and Fortune 100 clients on mission-critical projects.
- Grow with a diverse Prague team that values professional development, with opportunities for formal training and informal knowledge sharing.
- Enjoy a hybrid work environment with in-person team gatherings, social events, and office perks like coffee, tea, and beer on Thursdays.
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