JOB   DETAILS

What the role is all about

• Collaborate with data scientists, analysts, and platform engineers to ensure reliable, high-quality data delivery.
• Drive best practices in data modelling, orchestration, governance, and automation.
• Active participation in the definition of a clear technology strategy for your area through collaboration with Architects, Directors of Engineering, and Engineering Managers.
• Partner with Engineering Managers to ensure that technical solutions are delivered in alignment with the strategy.
• Contribute to strategic planning for the data platform roadmap and emerging technologies.
• Design high-quality, user-centric, cross-squad solutions in collaboration with diverse stakeholders.
• Foster a vibrant and connected internal technology community through engagement and contributions to knowledge-sharing.
• Impactful external engagement and sharing of expertise to build recognition of REA as a technology though leader.
• Foster our next generation of technology leaders through coaching and mentoring experienced engineers across your area.

Who we’re looking for

• 7+ years of experience in data engineering or related fields.
• Proficiency in one or more of the following programming languages: Python, Scala, Java, or Kotlin.
• Strong experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
• Hands-on experience with data orchestration tools such as Airflow, Dagster, or Prefect.
• Solid understanding of cloud platforms (AWS, GCP, or Azure).
• Proven experience in designing and optimising large-scale ETL/ELT workflows.
• Deep understanding of data architecture, modelling, and performance optimisation.
• Experience in mentoring or coaching at any level, ideally with teams and leading cross-functional technical projects.
• Strategic thinker with strong problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Collaborative leadership style with a focus on mentorship.
• Passionate about building reliable and elegant data solutions.
• Commitment to continuous learning and staying ahead of emerging technologies.

Desirable Skills

• Experience with dbt for transformation and modular data modelling.
• Exposure to streaming data technologies such as Kafka, Flink, or Spark Streaming.
• Knowledge of data governance, metadata management, and observability practices.
• Familiarity with DevOps principles and CI/CD workflows for data systems.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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