Key Responsibilities
* Design, build and maintain scalable ETL/ELT data pipelines for structured and unstructured data from various data sources.
* Develop and maintain central data warehouses, data lakes and other data storage solutions.
* Work with business stakeholders in Asia‐Pacific (Australia) and North America to design, build and maintain data products for business use‐cases.
* Develop and implement advanced analytical solutions including machine learning models and predictive analytics.
* Integrate data from a variety of internal and external sources to support analytics, reporting and operational processes.
* Collaborate with Data Architect, Analysts and business stakeholders to understand requirements and translate them into technical solutions.
* Monitor, troubleshoot and optimise data pipelines for performance and reliability.
* Ensure data quality, security, integrity and consistency across systems through effective governance practices.
* Document technical processes, data flow, and design decisions.
* Support data migrations and modernisations from legacy systems to cloud or modern platforms and other projects.
* Follow best practices in data engineering, including automation, version control and CI/CD for pipelines.
* Promote knowledge sharing and best practices across the data and analytics function.
Qualifications and Requirements
Education and Experience
* Bachelor's or Master's degree in Computer Science, MIS, or a related field or an equivalent combination of diploma, certifications and relevant experience.
* Minimum of 5 years of experience in data engineering, analytics engineering or a similar role.
* Proven experience designing and deploying ETL/ELT pipelines in production environments.
* Strong understanding of data warehousing concepts and data modelling.
Technical Skills
* Strong proficiency with SQL and data transformation tools.
* Experience with ETL tools (e.g. Informatica, Databricks, DBT etc.).
* Familiarity with cloud platforms (AWS, Azure, GCP) and data storage services (S3, BigQuery, Snowflake etc.) and formats (Parquet, Blob Storage etc.).
* Hands‐on experience with data pipeline orchestration tools (e.g. Airflow, Boomi).
* Experience with scripting languages such as Python and/or Scala.
* Experience working with data analytics tools and platforms (e.g. Tableau, Power BI).
* Familiarity with version control and code management (e.g. Git).
* Experience working with Incorta is considered an asset.
* Proficient in MS Office products.
* Understanding of data governance and security laws in North America and APAC regions.
Leadership and Interpersonal Skills
* Strong analytical and problem‐solving skills.
* Excellent communication and interpersonal skills with ability to translate technical concepts into business‐friendly language.
* Self‐motivated with the ability to work independently or as part of a cross‐functional team.
* Collaborative mindset with a focus on delivering business value.
* Ability to juggle multiple projects & tasks and prioritise and deliver results in the face of competing business interests and in a fast‐paced environment.
Preferred Qualifications
* Experience in Agile development environments.
* Exposure to CI/CD practices for data pipeline deployment.
* Familiarity with data governance, security and compliance practices.
* Industry certifications in cloud platforms or data engineering tools.
General Skills & Abilities
* Strong attention to detail and commitment to data accuracy.
* Curiosity and continuous learning mindset.
* Ability to thrive in ambiguous situations and drive clarity.
* Maturity of judgement and on‐demand decision making to resolve problems without delay and/or to seek support when required.
* Demonstrated organisation, time management, and multi‐tasking skills.
* Detail oriented, but also able to view a big picture and understand strategic context.
* Ability to work independently and proactively to develop and implement solutions with minimal guidance.
* Ability to build relationships quickly and work as part of a team.
* Motivated to understand the business and ability to quickly grasp how processes work and leverage that knowledge to drive business results.
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