Hybrid Data Engineer II

Posted last month

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About the role

  • Build and optimise scalable data pipelines and workflows using Airflow, Redshift, Glue, and dbt
  • Ingest, transform and deliver high-volume data from diverse sources, including MySQL and real-time data streams from Kafka
  • Design and maintain performant data models in Redshift and optimise SQL queries for high-performance analytics and reporting
  • Shape the cloud migration journey and evolve the data architecture
  • Collaborate with product, engineering, and business teams to translate business needs into reliable technical solutions
  • Drive data quality, reliability, and security as core principles
  • Support and improve data solutions running in a critical payments environment
  • Continuously learn, share knowledge, and raise the bar for best practices

Requirements

  • 4+ years of professional experience in Data Engineering or similar roles
  • Expert in SQL, including query optimisation, complex transformations, and data modelling in Redshift
  • Strong Python skills for data engineering tasks
  • Hands-on experience with AWS services (Redshift, Lambda, Glue, S3, etc.)
  • Experience with Airflow orchestration
  • Familiarity with modern transformation practices such as dbt
  • Collaborative mindset, strong problem-solving skills, eagerness to take initiative and ownership
  • Nice to have: experience leading or contributing to large-scale cloud migrations
  • Nice to have: knowledge of real-time streaming with Kafka
  • Nice to have: exposure to CI/CD and infrastructure-as-code for data pipelines
  • Nice to have: passion for exploring AI/ML applications in modern data platforms
  • Nice to have: understanding of the payments ecosystem or fintech data challenges

Benefits

  • Through competitive salaries, performance bonuses, sales commissions, equity for specific roles and recognition programs
  • Medical coverage
  • 24/7 employee assistance program
  • Generous vacation programs including year-end shut down
  • Flexible hybrid working environment (3 days per week in the office)
  • Role-specific training, internal workshops, and a learning stipend
  • Company-wide social events, team bonding activities, happy hours, team offsites
  • Commitment to diversity and equal opportunity
  • Region-specific benefits (see https://www.nium.com/careers#careers-perks)

Job title

Data Engineer II

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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