Data Engineer - Digisourced.

Job Specifications

Requirement
Several years of relevant work experience
Take end-to-end responsibility to build, optimize and support of existing and new data products towards the defined target vision
Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
Evaluate and drive continuous improvement and reducing technical debt in the teams
Design and implement efficient data models, data pipelines that support analytical requirements. Good understanding of different data modelling techniques and trade-off
Should have experience with Data Modelling
Experience in data query languages (SQL or similar). Knowledge of ETL processes and tool
Experience in data centric and API programming (for automation) using one of more programming languages Python, Java /or Scala.
Knowledge of NoSQL and RDBMS databases
Experience in different data formats (Avro, Parquet)
Have a collaborative and co-creative mindset with excellent communication skills
Motivated to work in an environment that allows you to work and take decisions independently
Experience in working with data visualization tools
Experience in GCP tools – Cloud Function, Dataflow, Dataproc and Bigquery
Experience in data processing framework – Beam, Spark, Hive, Flink
GCP data engineering certification is a merit
Have hands on experience in Analytical tools such as powerBI or similar visualization tools
Exhibit understanding in creating intermediate-level DAX measures to enhance data models and visualizations
Have understanding of Microsoft excel functions such as: power pivot, power query. Tabular Editor, DAX etc.
Fluent in English both written and verbal
The candidate:
Partner with retail business units (e.g., merchandising, supply chain, stores, digital) to design and deliver domain-aligned data products that power analytics and machine learning initiatives.
Translate complex retail business needs into technical requirements and proactively identify opportunities for data-driven innovation.
Lead the development and deployment of data mesh architecture, ensuring federated governance, discoverability, and self-serve capabilities.
Design and build scalable data pipelines using GCP (BigQuery, Dataflow, Cloud Composer, Cloud Functions) and orchestrate transformations using DBT.
Develop modular, reusable DBT models for core retail metrics such as inventory accuracy, sales trends, promotions performance, and customer loyalty.

About the Company

Digisourced is a premier global recruitment firm specialising in connecting top talent with industry-leading organizations across a wide range of sectors. With a team of experienced consultants, we leverage our extensive network and in-depth market knowledge to deliver tailored recruitment solutions that drive success for our clients Our personalised approach focuses on understanding each client's unique needs and corporate culture, allowing us to identify and attract the most suitable candidates. We take pride in our con... Know more