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Information Technology
The role involves designing and developing data pipelines and Lakehouse architectures leveraging Azure Databricks and integrating with SQL Server environments, while ensuring data quality and performance.
Top Skills:
Azure Data FactoryAzure DatabricksDelta LakePysparkSQLSQL Server
Information Technology
Design and develop data pipelines and Lakehouse architectures using Azure Databricks and Spark, integrating with SQL Server-based environments and ensuring data quality and performance.
Top Skills:
Azure Data FactoryAzure DatabricksDelta LakePysparkSQLSQL Server
Information Technology
The Middle Data Engineer will design and develop data pipelines with Azure Databricks, integrating multiple sources, and optimizing for scalability and performance.
Top Skills:
Azure Data FactoryAzure DatabricksDelta LakeLakehouse ArchitecturesPysparkSparkSQL Server
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
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
