Offer summary

Qualifications:

At least 5 years of experience as an Analytics Engineer or similar role, preferably in a Google Cloud environment., Expertise in data modeling, Data Vault, and ETL processes using tools like DBT and SQL., Strong problem-solving skills and ability to tackle complex technical challenges., Fluent in English (B2/C1/C2) with a good understanding of customer needs..

Key responsabilities:

Designing, building, and maintaining scalable data pipelines and lakehouse within Google Cloud.

Developing efficient ELT processes to collect, transform, and load data from various sources.

Collaborating with data scientists and analysts to generate valuable data-driven insights.

Ensuring data integrity and troubleshooting complex technical issues related to data integration.

Job description

Project Type:

Work Type: Remote
Location: Only European Union (Remote Work)
Client Industry: Wholesale & Foodservice
Project Start Date: As soon as possible
Duration: Minimum 12 months (preferably 24 months)
Contract B2B, rates 170-200 PLN/H depending on the candidates experience
Team Size: Currently about 12 FTE (4 cloud engineers, 3 data engineers, 5 analytics engineers)
Working Hours: 09:00 – 17:00 (NL time zone)
Language: English
Travel Requirements: Preferably on-site meetings once a month (negotiable)

Client Description:

Our client is a leading Dutch company specializing in the distribution of food and non-food products to businesses, including restaurants, catering companies, and supermarkets.

We have set up a new data platform for the client and are creating a common data model as a foundation for their AI/DS use cases.

Daily Challenges:

Designing, building, and maintaining scalable data pipelines and a state-of-the-art lakehouse within Google Cloud.
Managing and optimizing robust data models.
Developing efficient ELT processes using DBT and Fivetran to collect, transform, and load data from various sources.
Collaborating with data scientists and analysts to generate valuable data-driven insights.
Ensuring well-structured, accessible datasets that support the analytics team.
Safeguarding data integrity by implementing solid validation processes.
Troubleshooting and resolving complex technical issues related to data integration and processing.
Staying up-to-date with the latest innovations in Google Cloud, data engineering, and analytics.

Technical Requirements (Must-Have):

Data Modeling
Data Vault
DBT
Google Cloud Platform (GCP)

Experience & Competencies Required:

At least 5 years of relevant experience as an Analytics Engineer, Data Engineer, or a similar role, preferably in a Google Cloud environment.
A Google Cloud Professional Data Engineer certificate or similar certification (preferred but not mandatory).
Expertise in data warehouses, ETL processes, and tools such as BigQuery, Dataflow, Cloud Storage, DBT, SQL, and Python.
Experience with data modeling, Data Vault, database design, and query optimization.
Strong problem-solving skills and the ability to tackle complex technical challenges.
Fluent in English (B2/C1/C2).
Ability to understand customer needs and translate them into valuable data solutions.

Required profile