Data Analytics Engineer

Location: Remote with a flexible working schedule.

Company

hirify.global is hiring for a tech-enabled logistics platform that provides on-demand delivery for food, grocery, and retail businesses across more than 130 European cities.

What you will do

• Build high-quality data pipelines and model data in the data warehouse so business teams can access the required level of detail.
• Lead data projects end to end, from requirements gathering through adoption of new data assets.
• Translate business developments into technical and data requirements.
• Propose improvements to data models and collaborate with the Data Platform team to improve the data toolkit.
• Build scalable reporting with analysts, strengthen data discovery, and document metrics and data models.

Requirements

• At least 2 years of experience with SQL and data warehousing.
• At least 2 years of hands-on experience with dbt Core and Airflow in production environments is mandatory.
• At least 1 year of experience with reporting and data visualization tools such as Tableau, Looker, or equivalent.
• Ability to foster a self-serve data culture and empower cross-functional teams with data.
• Strong English communication skills, including the ability to explain complex data topics to technical and non-technical stakeholders.
• Data stack: AWS S3, Redshift, Airbyte, dbt, Airflow, Castor, and Superset.

Nice to have

• Experience with Python and data libraries such as pandas, numpy, and matplotlib.

Culture & Benefits

• Remote work with a flexible working schedule.
• Up to 20 working days of vacation, 10 working days of sick leave, and up to 11 national holidays off.
• Medical reimbursement or insurance after 3 months.
• Online English courses and communication with top- and senior-level specialists.
• Direct cooperation with the customer, online and offline team-building activities, and support for a volunteering culture.