Analytics Engineer at STOW Group

Lokeren, East Flanders, Belgium -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Modelling, KPI Definition, Python, Git, CI/CD, Data Quality, OLAP Databases, IoT, MQTT, Warehouse Automation, Supply Chain Logistics

Industry

Industrial Machinery Manufacturing

Description

Company Description Movu Robotics, part of the stow Group, is on its way to becoming a global leader in the design, development and implementation of warehouse automation solutions. Its cutting-edge technology is redefining supply chain efficiency. Movu offers an integrated ecosystem of scalable and innovative solutions, making it easier for warehouse operators to implement robotic automation solutions. If you want to grow as a professional, we have a warm place waiting for you at Movu Robotics. At Movu, we value your strengths, because they are our strengths too. We are a dynamic global company looking for passionate people to help us innovate at every level. Job Description 💡 As an Analytics Engineer, you will take ownership of the analytical transformation layer and the KPI calculation logic. Your main responsibilities will include: Structuring and modelling operational data from warehouse automation environments. Translating validated KPI requirements into precise calculation rules. Defining KPI granularity, filters, exclusions, time windows, data sources and interpretation limits. Building and maintaining reliable transformation logic. Working on database structuring and creating small Python scripts when needed. Implementing data quality checks, validation rules and reconciliation logic. Documenting KPI definitions, calculation assumptions and known limitations. Ensuring that data models and KPI rules are version-controlled, tested and reusable. Collaborating with software architects, DevOps, full-stack developers and operational stakeholders. Qualifications 📍 We are looking for a profile with at least 3 to 5 years of experience in one of the following areas: Analytics Engineering Data Engineering BI Engineering with strong technical depth Technical Data Analyst role with genuine data ownership You ideally bring: Strong SQL skills. Good understanding of databases and data modelling. Experience in defining and structuring KPIs. Ability to work with operational, process-oriented or event-driven data. Experience with data quality, validation rules and documentation. Familiarity with Git, version control, testing or CI/CD practices. Ability to create small Python scripts when needed. Fluent English is required. Experience with OLAP databases, event-driven data, IoT, warehouse automation, supply chain, logistics, MQTT or industrial data environments will be considered a strong plus. 😅 What this role is not This is not a purely Power BI or dashboarding role. We are not looking for someone who only consumes data or produces visual reports. We are looking for someone who is able to understand how data is produced, transformed, controlled and made reliable. The right person will naturally ask the right questions: Where does this data come from? Can we trust this number? What exactly does this KPI measure? Which data should be excluded? How can we prove that the calculation is correct? How can we make this logic reusable and scalable? Additional Information What do we offer you? A place in an enthusiastic, young organisation with the necessary ambitions The necessary freedom and opportunity to take initiative. An intensive training by experienced people. An attractive salary in an international environment with many benefits: Company car with fuel card/charging pass Group & health insurance Meal vouchers (8€) Net allowances CAO90 Bonus Laptop iPhone + subscription 20 days of vacation plus 12 extra days for working a full year on 40h-workweek instead of 38h (32 leave days in total) Satellite office in Berchem ( Antwerp ) Department: IT

Responsibilities

The Analytics Engineer is responsible for owning the analytical transformation layer and KPI calculation logic for warehouse automation data. This includes structuring operational data, building reliable transformation logic, and collaborating with cross-functional technical teams.