Pragmatic, data-driven, detail-oriented, and self-motivated are essential traits for success in this role, along with a mindset focused on scalability, reliability, and continuous improvement.
What You’ll Do
Design, build, and operate end‑to‑end ETL/ELT pipelines across ingestion, transformation, and serving layers.
Architect scalable, reusable data pipelines and frameworks that balance performance, cost, and reliability.
Implement incremental loads, schema evolution, and data contracts to ensure stable, production‑grade pipelines.
Monitor and maintain pipelines, including logging, validation, alerting, and incident response.
Collaborate closely with BI, analysts, and architects to ensure datasets meet business requirements, SLAs, and reporting needs.
Lead complex incident investigations and root‑cause analysis, driving remediation and prevention.
Review and improve code, pipelines, and models to ensure quality, maintainability, and reuse.
Translate requirements into technical designs with clear constraints, SLAs, and acceptance criteria.
Mentor junior engineers and contribute to standards, patterns, and best practices across the team.
What You’ll Bring
Strong ownership mindset: ability to move from task execution > pipeline ownership > system design accountability.
Ability to balance scale, latency, cost, and governance when making design decisions.
Solid communication skills to
Explain technical trade‑offs clearly to technical and non‑technical stakeholders
Provide proactive updates on risks, changes, and dependencies
Align teams across engineering, BI, and business domains
Structured and proactive working style
Deliver maintainable solutions with strong documentation and observability
Identify issues early and escalate appropriately
Drive continuous improvement in reliability and engineering practices
Strong problem-solving capability
Diagnose complex failures and data issues systematically
Build reusable patterns to reduce duplication and operational load
Mentoring mindset
Guide junior engineers
Improve team quality through reviews, standards, and shared practices
Technical Skills
Data Modelling: Designs analytical data models for multiple consumers, understands schemas, keys, and data grain, and balances normalisation versus performance using established and reusable modelling patterns.
Data Governance: Embeds governance into pipeline and data model design, including lineage, traceability, ownership, and data quality rules, while ensuring alignment with data classification and compliance requirements.
ETL / Data Engineering: Designs, builds, and operates end-to-end ETL/ELT pipelines, including incremental processing, idempotent patterns, and schema evolution, with a focus on scalability and reliability.
Development (SQL / Python): Writes clean, optimised SQL and scalable Python code, applying modular design, logging, testing, and code review practices, while considering performance and scalability trade-offs.
Data Products / BI Integration: Designs and delivers datasets and data products with clearly defined SLAs, ensuring compatibility with BI tools and alignment with reporting and analytics requirements.
Data Quality & Testing: Implements automated validation, schema checks, and monitoring, and leads investigations into data quality issues to identify root causes and prevent recurrence.
Architecture & Scalability: Makes informed design decisions across batch vs streaming and ETL vs ELT approaches, building reusable, scalable components that improve platform efficiency and reliability.
Security & Governance: Applies security-by-design principles, including access controls, data masking, and compliance enforcement, and supports audits through strong traceability and documentation.
It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.
This is the wording to be added to the job descriptions
We are committed to providing equal employment opportunities and to creating an inclusive workplace. We do not discriminate against applicants or employees on the basis of race, colour, nationality, ethnic or social origin, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital or family status, disability, health condition, or any other characteristic protected by applicable law. We also do not tolerate harassment of any kind.
