Data Engineer

Harmoney; United States; Hybrid; USD 40,000 - 69,000; Full time

Benefits offered by this job

Company car or mobility budget

32 days annual leave

Laptop

Smartphone

Job summary

Harmoney is seeking a data engineer to own a data warehouse and BI environment that underpins internal operations and customer analytics. You will manage the data flow from queues through transformation and analysis to provide dependable information for decisions.

You will build transformation models with dbt and SQL, create dashboards in Superset and Power BI for internal teams and external customers, ensure data quality, and collaborate across the organization in a hybrid Ghent-based role.

Qualifications

• 3-6 years data engineering experience and a bachelor’s or master’s degree in IT or related field.
• Knowledge of data warehousing, pipelines, queuing systems and business intelligence.
• Practical experience with dbt, SQL, Git and Docker.
• Previous responsibility for managing data solutions.
• Careful, accuracy-focused approach and ability to work independently while collaborating across teams.
• Fluency in English and Dutch.

Responsibilities

• Manage the data warehouse end to end, including data queues, transformation and analysis.
• Develop and extend data transformation models using dbt and SQL.
• Create dashboards in Superset and Power BI for internal teams and external customers.
• Deliver analytics for use cases such as capacity planning and automated billing.
• Maintain data quality so reports and metrics are accurate.
• Work with teams across the organization to turn their questions into useful data solutions.

Skills

Data engineering

Data warehousing

Analytics

Education

Bachelor's or Master's in IT

Tools

dbt

SQL

Git

Docker

Superset

Power BI

Kafka

Flink

StarRocks

Azure

Java

Job description

Role overview

Take ownership of a data warehouse and business intelligence environment, building the data foundations used for internal operations and customer analytics. The work spans the flow from queued data through transformation and analysis, with a focus on dependable information that supports decisions such as customer capacity planning and internal billing.

Responsibilities

• Manage the data warehouse end to end, including data queues, transformation and analysis.
• Develop and extend data transformation models using dbt and SQL.
• Create dashboards in Superset and Power BI for internal teams and external customers.
• Deliver analytics for use cases such as capacity planning and automated billing.
• Maintain data quality so reports and metrics are accurate.
• Work with teams across the organization to turn their questions into useful data solutions.

Requirements

• 3-6 years of data engineering experience and a bachelor's or master's degree in IT or a related field.
• Knowledge of data warehousing, pipelines, queuing systems and business intelligence.
• Practical experience with dbt, SQL, Git and Docker.
• Previous responsibility for managing data solutions.
• Careful, accuracy-focused approach and ability to work independently while collaborating across teams.
• Fluency in English and Dutch.

Nice to have

• Experience with Kafka, Flink, StarRocks, Azure, Java or data mesh.

Benefits and work setup

Hybrid work from an office in Ghent.

• gross monthly salary range of €3,250-€5,600
• company car or mobility budget
• 32 days of annual leave
• a laptop
• a smartphone

Payroll and freelance arrangements are both considered.