Company Description

J4RVIS is an industry leading, system integrator specialising in Salesforce & MuleSoft solutions. We empower people from ambitious organisations to drive greater business value with scalable technology.

We're widely recognised as one of the most promising Salesforce partners, after achieving the Summit partnerships status (previously Platinum) within the first 18 months. To put that in context, that means that we had to close $1 million in ACV and achieved more than 100 certifications.

Our mission is to create a better tomorrow for 1 billion people and unlock our team's true potential through a progressive workplace.

Interested We are just getting started!

J4RVIS is the winner of Rising Star category at #Deloittefast50
Recognised by Salesforce as the APAC Partner of the Year in the Connected Ecosystem category
Placed 3rd in CRN Fast 50 Awards

About The Role

As a Data Engineer at J4RVIS you will design, build, and maintain data solutions on modern cloud data platforms for our clients. The current engagement is Snowflake and dbt led, with hands-on work across pipeline development, dbt model refactoring, data validation, and rolling out new datasets for downstream analytics and AI use cases.

You will operate in a client-facing environment, take ownership of workstreams end-to-end, and work directly with business stakeholders to understand the why behind the data, not just the what.

What You Will Do

Design and build ELT pipelines in Snowflake using dbt as the transformation layer.
Refactor legacy SQL and dbt models for performance, readability, and testability.
Run data validation and reconciliation across source and target datasets.
Own warehouse sizing, role and access design, and cost control in Snowflake.
Partner with business stakeholders to translate requirements into data models, including pushing back when the request does not make sense.
Lead workstreams without heavy supervision and operate as the go-to data engineer on your project

Must-have Experience

What we are looking for

5+ years in data engineering, business intelligence, data migrations, or database development on relational platforms.
At least 2 years of hands-on production Snowflake work. Real delivery only: warehouses built or migrated, performance tuning, role-based access design, cost optimisation. Certifications without project evidence will not qualify.
At least 12 months of hands-on production dbt work. Models built and tested, macros, incremental strategies, deployment in production. Fundamentals certifications without project evidence will not qualify.
Strong SQL fundamentals, including window functions, CTEs, query optimisation, and debugging poorly performing queries. You should be comfortable refactoring SQL you did not write and reconciling discrepancies between datasets
Proficiency in Python for data engineering and automation.
Experience with at least one major cloud platform (Azure, AWS, or GCP), including security, performance, and cost considerations.

Ownership and autonomy

We need someone who can take a requirement and run with it. That means leading workstreams, owning pipelines end-to-end, and working in small teams or as the sole data engineer on an engagement. Candidates whose experience has been exclusively ticket-driven with heavy supervision are unlikely to be a fit.

Stakeholder engagement

Our clients value engineers who engage with the business, not just the spec. You should be comfortable running requirements gathering sessions, asking why a dataset is needed, and translating fuzzy business questions into clean data models. Product-minded thinking is a strong signal.

Communication

You will be in front of clients regularly. Clear written and verbal communication, and the ability to translate technical decisions into business language, are non-negotiable.

Nice to have

Fivetran Or Other Ingestion Tooling Experience.

Power BI or other BI tooling exposure.

Data Vault modelling alongside dimensional modelling.

Exposure to a second modern data platform such as Databricks or Azure Synapse.

Experience in consulting or professional services environments.

How we assess

Our process includes a phone screen, a technical interview covering Snowflake, dbt, and SQL fundamentals, and a short take-home or live exercise focused on refactoring a dbt model and validating two datasets against each other. The take-home exists to surface real working knowledge rather than memorised certification content.

Why You Should Join J4rvis

Become better at what you do. You will be challenged to learn every day, work on exciting projects and be provided with unique learning and mentoring opportunities from our CTA.

Be yourself. Everyone has a role, everyone has a purpose. Be the leader you wish you had and bring your authentic self to work. We celebrate each other's uniqueness.

Succeed from anywhere. No matter if working from the office, from home, we empower you to unlock your true potential through a progressive workplace and provide you with the tools to do so.

Have fun along the way. We place immense emphasis on our culture and our team genuinely enjoys working with each other and spending time together both in and outside of work - never a dull day at J4RVIS!

SOME OF OUR PERKS

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

Are you ready to create a better tomorrow

When you join J4RVIS, you become part of a collaborative culture. We are a politics free workplace where everyone has a voice. Everyone is a leader, valued equally for their authenticity, background & skill.

Data Engineer-Snowflake and dbt (Philippines)