Data Analytics Engineer - Operational Excellence at Just Russel

Deinze, East Flanders, Belgium -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL/ELT Pipelines, dbt Core, BigQuery, Data Quality, Data Architecture, A/B Testing, SQL, Python, dltHub, Data Lakes, Looker Studio, Data Ingestion, Cloud Functions, Cloud Run, Workflows

Industry

Pet Services

Description

Just Russel is on a mission to change the way people care for their pets, through convenience, preventive health and data at the centre of every decision. As the 6th fastest-growing company in Belgium (Deloitte Fast 50), we're scaling fast and building the infrastructure to match. Right now, our operations are growing quicker than our visibility into them. We need someone who can close that gap, someone who doesn't just build pipelines, but asks the right questions, who connects the dots cross-platforms, spots what's going wrong before others do, and turns messy operational data into clear decisions. That's where you come in. As our Data Analytics Engineer for Operational Excellence, you'll own the data that powers our order flows, warehouse operations, cost management and customer support. You'll work embedded in a cross-functional tech team alongside product engineers, software engineers and designers — and you'll be the person everyone turns to when they need to understand what's really going on. Own the data that drives operational decisions Design and maintain scalable ETL/ELT pipelines using dbt Core and BigQuery — built to last, not just to ship. Be the guardian of data quality in your domain: one source of truth, properly documented, always reliable. Be the architecture behind your data landscape. You won't just implement, but help shape how we build. Support A/B testing and experimentation from hypothesis to quantified business impact. Turn numbers into action Deep-dive into operational data — orders, COGS, warehouse performance, customer support — and surface what actually matters. Build dashboards and reports that people genuinely use, from weekly operations reviews to leadership KPI overviews. Collaborate with our data scientist on predictive models: feature design, validation and monitoring. Be the person who says 'here's what the data tells us' in the room where decisions get made. Your toolbox Data ingestion: dltHub, giving us maximal control of what we ingest. Storage & architecture: BigQuery, with solid understanding of warehouses, data lakes and medallion/vault patterns. Transformation: dbt Core for modular, well-documented models. Orchestration: Google Cloud Platform (Cloud Functions, Cloud Run, Workflows). Visualisation: Looker Studio and/or custom dashboard solutions. Analysis: Python for deeper analysis and data pipelines. Who you are 4–5+ years of experience as a Data Analyst, Data Engineer or Data Analytics Engineer — ideally in e-commerce, subscriptions or digital products. Strong SQL and Python skills, with hands-on experience across a modern data stack. You understand data architecture and think proactively about cost, efficiency and scalability — not just correctness. Comfortable working with ingesting, using and combining data/metrics from multiple platforms, such as Zendesk, Odoo, Sendcloud etc. You communicate clearly: you can explain a complex data model to an engineer and a business insight to a CEO. You take ownership. You don't wait to be asked — you notice what's missing and go fix it. You thrive in a fast-moving environment where priorities shift and ambiguity is part of the job. Master's degree in a quantitative field, or equivalent experience. Fluent in English; Dutch is a strong plus. What we offer We're a fast-moving tech team, with cross-functional team. This means real ownership, fast learning and direct impact. No layers of bureaucracy between your work and the decisions it informs. A competitive salary package, aligned with your experience and level of responsibility. Mobility package, tailored to your role and location. Health insurance via Alan. Learning and development opportunities to support your personal and professional growth. Fun team-building, social and sports activities throughout the year. Access to Benefits at Work, with discounts on brands such as Nike, bol.com and IKEA. Employee discount for your pet, because they're part of the family too. A MacBook to do your best work. Home office allowance. Fresh fruit and energising drinks at the office. If you'd rather build the dashboard that changes the decision than just attend the meeting, this role is for you. Ervaringsniveau: Medior - 3 tot 5 jaar

Responsibilities

This role involves owning the data that drives operational decisions by designing and maintaining scalable ETL/ELT pipelines using dbt Core and BigQuery, while acting as the guardian of data quality in the operational domain. The engineer will also be responsible for turning operational data insights into action through building reports and supporting A/B testing and predictive model collaboration.