The role involves designing, building, and maintaining scalable data systems, optimizing data models, writing SQL queries, and ensuring data quality in collaboration with data teams.
Our customer is one of the world's largest food and beverage companies, operating in 189 countries with over 2000 brands. The company's diverse portfolio includes products such as bottled water, dairy products, breakfast cereals, coffee, confectionery, frozen food, pet foods, snacks, and baby food.
We are looking for a Middle Data Engineer to design, build, and maintain scalable data systems that support analytics, reporting, and machine learning use cases. This role requires strong ownership, solid SQL skills, and experience working with large datasets in production environments.
Responsibilities- Build and maintain data pipelines (batch and near real-time).
- Develop and optimize data models for analytics and BI tools.
- Write efficient SQL queries for large-scale datasets.
- Support development and maintenance of ETL/ELT processes.
- Ensure data quality, integrity, and consistency across systems.
- Collaborate with data analysts, data scientists, and product teams to understand data requirements.
- Monitor and troubleshoot data pipelines and workflows.
- Contribute to improving the performance of the existing data infrastructure.
- Work with cloud-based data platforms and modern data stack tools.
- 2–4 years of experience in Data Engineering or a related role.
- Main technical skills are: Snowflake, dbt, ADF.
- Solid SQL skills (joins, aggregations, window functions).
- Understanding of data governance and data quality concepts.
- Proficiency in Python.
- Experience with ETL/ELT tools.
- Hands-on experience with the Azure cloud platform.
- Azure Ops experience: provisioning and configuring.
- Experience working with data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Understanding of data modeling concepts (e.g., star schema).
- Basic knowledge of Docker or containerization.
- Experience with data processing frameworks (e.g., Spark).
- Strong analytical thinking and problem-solving skills.
- Ability to work independently with some guidance.
- Good communication skills with technical and non-technical stakeholders.
- Willingness to learn and grow in a collaborative environment.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
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