Lead on building a robust, scalable, and high‑quality data foundation that supports analytics, reporting, and product decision‑making.
Design, implement, and maintain end‑to‑end data infrastructure including ingestion, transformation, modelling, and delivery.
Ensure data is accurate, accessible, and optimised for business use.
Partner with Data Analysts, Engineering, Client Services, and other teams to translate business needs into technical solutions.
Build and maintain scalable pipelines, enforce data quality and governance, and deliver high‑performance data systems.
Work closely with Engineering, Product, Data Analysts, and operational teams on shared data initiatives.

Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Minimum 5 years’ experience building data pipelines using Java, Python, or Scala.
Familiarity with frameworks such as Spark or Pandas.
Experience handling batch and ideally stream processing.
Proven ability to build APIs and data‑integration solutions.
Extensive experience with SQL for transformations, validation, and optimising analytical workloads.
Fluent in English with strong communication skills.
Record of success in data engineering, including pipeline development and infrastructure design.
Knowledge and expertise in SQL, Python, Java/Scala, Spark, Pandas, and AWS/cloud architecture.
Demonstrated ability to apply engineering best practices (CI/CD, IaC, monitoring, automation).
Ability to promote data quality, governance, and documentation standards.
Strong problem‑solving, optimisation, and analytical abilities.
Ability to translate complex technical concepts for business stakeholders.
Strong organisational, time‑management, and project‑delivery skills.

Offer flexible work arrangements including Hybrid work possibilities
One (1) month paid Sabbatical after 5 years of Service, without tapping into annual leave
Access to lots of great travel and entertainment discounts as our clients’ members would!
Global Team, with diversity at its core.
Possibility of growth within a dynamic and international company

Data Engineer

Key skills