Data Engineer London, UK

Galytix Limited
London
1 week ago
Applications closed

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Galytix (GX) is delivering on the promise of AI.

GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules.

GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.

Responsibilities:

  • 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, and 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 with a 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 orchestration tools such as Apache Airflow and Nifi.
  • Experience with large scale/Big Data technologies, such as Hadoop, Spark, Hive, Impala, PrestoDb, Kafka.
  • Experience with workflow orchestration tools like Apache Airflow.
  • Experience with containerisation using Docker and deployment on Kubernetes.
  • Experience with NoSQL and graph databases.
  • Unix server administration and shell scripting experience.
  • Experience in building scalable data pipelines for highly unstructured data.
  • Experience in building DWH and data lakes architectures.
  • Experience in working in cross-functional teams 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 do not want to miss this career opportunity?

  • We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries; we redefine them.
  • Customer-centric organisation with innovation at the core of everything we do.
  • Capitalize on an unparalleled career progression opportunity.
  • Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
  • Develop highly valued skills and build 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.


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