Analytics Engineer

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.