Impala jobs in London

Business overview:

Galytix (GX) is delivering Agentic AI for financial services.

Founded in 2015 by credit and insurance experts together with world-class AI engineers, GXʼ financial services specialised AI Agents empower credit and risk professionals with a trusted and personalised agent delivering a step change in productivity and decision-making.

Built for Financial Institutions. With Financial Institutions.

GXʼ Agentic AI technology, built in partnership with global FIs, implements a multi-model approach, combining industry-specific data and domain knowledge with ‘human in the loopʼ oversight, delivering trustworthy outcomes.

Our Specialised AI Agents deliver 30 hours work in 30 minutes.

GXʼ AI Agents are already helping banks and insurers gain new insights into their customers, reduce costs, automate workflows, and transform teamsʼ day-to-day work experience.

Detailed role description:

• Helping to architect, design, implement, and optimise our data ingestion, transformation, and spreading pipelines and processes.
• Developing data models, processing pipelines, and back-end services supporting the data science teams, automating processes, building integrations, builds analytics.

Desired skills:

• A university degree in Mathematics, Computer Science, Engineering, Physics or similar.
• 5+ years of relevant experience in Data Engineering, warehousing, ETL, automation, cloud technologies, or Software Engineering in data related areas.
• 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
  • Open-source ETL, and data pipeline and orchestration such tools as Apache Airflow and Nifi.

  • Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb, Kafka.

  • Workflow orchestration tools like Apache Airflow.

  • Containerisation with Docker, deployment on Kubernetes.

  • NoSql and graph databases.

  • 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 you don’t want to miss this career opportunity:

• Be part of groundbreaking AI projects: Work on the world's first personalised AI assistants 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, DuckDB, 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 AI-driven data solutions.
• You will work closely with senior leaders who have individually served a number of CEOs in Fortune 100 companies globally.
• You can develop yourself and 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.
• Grow with a diverse team that values professional development, with opportunities for formal training and informal knowledge sharing.

Interested in learning more about what we’re building? Don’t hesitate to apply – we look forward to connecting with you!