Data Engineer (Databricks)
Summary
Data Engineer at Wizeline designing, building, and maintaining scalable ETL/ELT data pipelines, data warehouses, and data lakes on Azure/Databricks. Day-to-day work centers on Advanced SQL, pipeline orchestration, stream/batch processing, data modeling, and enforcing data quality via DaaS/data contracts.
The Company
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there's no limit to what we can achieve.
Are You a Fit?
To be successful in this role, you must have:
- Experience: Proven experience designing, building, and maintaining scalable data pipelines (ETL/ELT processes); background in designing and implementing data warehouse architectures and data lakes; experience managing distributed computing systems and handling large-scale, high-throughput datasets; demonstrated experience in data modeling (e.g., dimensional modeling, star schemas, data vault).
- Technical Skills: Advanced relational and non-relational database design and optimization; stream and batch data processing paradigms; data pipeline orchestration and workflow management; cloud infrastructure paradigms and data security/governance best practices; version control and CI/CD principles.
- Tech Stack: Azure / Databricks (Asset Bundles, Unity Catalog), Advanced SQL, DaaS / Data Contracts.
- Systems Thinking: Ability to see how individual data pipelines impact the entire organizational ecosystem.
- Meticulousness: A fierce commitment to data quality, accuracy, and system reliability.
- Collaboration: Ability to bridge the gap between software engineers (who generate data) and data consumers (who use it).
Nice-to-Have Skills
- AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including workflow automation, data processing, or research. Identify opportunities to streamline data engineering processes.
About Us
Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech.
Apply now!
Skills
As published by greenhouse · 15 questions · 4 written answers
Basics
First Name, Last Name, Email, Phone, Resume/CV, Location
Short answers (5)
- LinkedIn Profile optional
- Website optional
- LinkedIn Profile optional
- Website optional
- LinkedIn Profile
Pick from a list (6)
- How did you find out about this job?
- I have read and accept Wizeline's
- Have you been referred to by any staff member of Wizeline?
- Do you have any family relationship, economic and/or personal relationship with any staff member, Board member or shareholder of Wizeline?
- Do you have any family and/or contractual relationship with a direct competitor of Wizeline?
- Do you have any relationship with any government entity and/or a government official?
Written answers (4)
- If your answer is YES, please provide the name and position of the referring staff member:
- If your answer is YES, please provide the name, position of the staff member, officer, board member, and/or shareholder(s), specifying the type of relationship:
- If your answer is YES, please provide the name of the competitor(s), specifying the type of relationship:
- If your answer is YES, please provide the name of the entity and/or government official, specifying the type of relationship: