Data Engineer / Data Steward

Data Engineer / Analytics Engineer / Data Steward

Background

Scope of the Assignment

Responsibilities

• Build, improve, and maintain ingestion and transformation pipelines using SQL and Python
• Perform ad hoc analytics when required
• Define and maintain data quality rules, tests, and dashboards using dbt and Elementary
• Lead root-cause analysis for data quality issues and drive corrective actions
• Maintain business definitions, harmonisation rules, and metadata across datasets
• Review data models, data contracts, and data mappings for governance alignment
• Present data product, governance, and data quality insights to stakeholders
• Collaborate closely with data engineers, data stewards, software engineers, and product teams

Required Skills & Experience

Technical & Analytical Skills

• Strong data engineering fundamentals, including building pipelines in dbt or Python
• Experience developing production-grade solutions on cloud platforms (GCP preferred)
• Hands-on experience with BigQuery and/or PySpark/Databricks
• Strong SQL skills
• Experience with dbt modelling and data quality testing
• Familiarity with data quality frameworks and methodologies
• Knowledge of data models, databases, data warehousing, and system data flows
• Experience with customer data (profiles, purchase events, interaction data) is highly desirable
• Understanding of data governance frameworks, metadata management, and data cataloguing practices is a plus
• Basic data visualisation experience (Data Studio preferred, Power BI advantageous)

Communication & Stakeholder Management

• Strong collaboration skills across business and technical stakeholders
• Ability to present findings through dashboards, Miro, and similar tools
• Strong problem-solving skills with a focus on ownership and resolution
• Ability to translate business requirements into data products and governance standards
• Proactive mindset and comfort working within ambiguity

Top 3 Requirements

1. Data engineering fundamentals, including pipelines in dbt or Python and cloud-based development (GCP preferred)
2. Strong SQL skills with dbt modelling and data quality testing experience
3. Proactive mindset with the ability to drive initiatives in an evolving environment