Role Overview

Design, build, and maintain scalable data solutions across modern cloud data platforms.
Develop robust data pipelines, managing ETL and ELT processes, optimising data storage and compute.
Implement architectures that enable reliable analytics and AI use cases.
Operate in a client-facing environment, translating business needs into technical solutions.

Requirements

Demonstrated experience of minimum 2 years working with modern cloud data platforms, including Fivetran, dbt, Snowflake, and Power BI, with hands on involvement across ingestion, transformation, and analytics layers.
Demonstrated experience of minimum 2 years and preferably 5+ years delivering data related projects such as business intelligence, data science enablement, data migrations, data management, and database development using relational databases
Strong SQL expertise, including the ability to design and maintain complex queries, functions, scripts, stored procedures, views, and triggers to support scalable data solutions and downstream application development.
Proven experience in data modelling, including dimensional modelling, Data Vault modelling, and logical and physical database design, with a strong understanding of industry best practices.
Hands on experience designing and optimising ETL and ELT pipelines, including transformation logic, orchestration, and workflow automation in cloud environments.
Strong experience with Snowflake as a core platform, with exposure to at least one additional modern data platform such as Databricks or Azure Synapse.
Experience working with cloud infrastructure and services across Azure, AWS, or GCP, including security, performance tuning, and cost optimisation considerations.
Proficiency in at least one programming language such as Python, Java, or Scala for data engineering and automation use cases.
Strong communication skills, with the ability to work in client facing environments and translate business requirements into robust technical solutions.

Tech Stack

AWS
Azure
Cloud
ETL
Google Cloud Platform
Java
Python
Scala
SQL
Vault

Benefits

Salesforce/Mulesoft/Project Management certifications paid for by J4RVIS
Work From Anywhere for up to 2 weeks within a 12-month period
Flexible working arrangements
3 months paid parental leave for primary carers
2 days of study leave per quarter
Wellness allowance to look after your health
Home office expense allowance

J4RVIS

Open Positions (1)

Engineering

Data Engineer