Data Engineer (Czech Republic and Slovakia)

Introduction:

Are you a talented Data Engineer looking to work on cutting-edge projects right in the heart of Central Europe? Join us as we spearhead innovative data strategies that include AI/ML and more. We’re not your typical outsourcing company; we’re a Google partner, providing professional consultancy services to some of the most renowned companies in the Czech Republic and Slovakia, all of which have a strong international presence.

What We Offer:

• Exciting Opportunities in the Czech Republic and Slovakia:
• Get ready to work on projects that push the boundaries of data engineering, all within your home region.
• Collaborative Remote Work: Enjoy the flexibility of remote work while staying connected to our dynamic team.
• Personal and Professional Growth: We’re committed to your development, ensuring you have the resources and opportunities to advance your career.
• Impactful Projects: Contribute to projects that make a real difference in the Czech and Slovak tech scenes.
• Be Part of a Driven Team: Join a team that values your expertise and is dedicated to delivering top-notch solutions.
• Benefits package: compensation of vacation, sick days, business trips and no tracking systems.

Your Role:

• Shape Innovative Data Strategies: Play a pivotal role in crafting data strategies that align with our clients’ objectives in the Czech Republic and Slovakia.
• Offer Expert Insights: Share your knowledge and expertise in data solutions that matter.
• Build Secure, Scalable Solutions: Create cloud-based solutions that are both secure and scalable to meet the unique needs of our clients.
• Seamless Collaboration: Work closely with clients and internal teams to ensure the flawless execution of projects.
• Stay Ahead of Trends: Keep yourself updated with the latest industry trends and innovations.
• Technical Stack: Core Technology: BigQuery Additional Technologies: Dataflow, Composer, Vertex AI, Looker, Kubeflow, and more

What We Require:

• A minimum of 2 years of experience in data architecture, data engineering, or similar roles.
• Hands-on experience with Google Cloud services, including BigQuery and Dataflow.
• ETL expertise, encompassing data cleansing, conversion, and more.
• Proven ability to craft and manage data pipelines.
• Familiarity with MLOps principles. Experience in deploying and monitoring ML models.
• A strong commitment to maintaining data quality at every stage.
• Excellent communication skills, ensuring seamless collaboration with the team.