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Data Engineer (Databricks)

Role overview

Qualifications

  • 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)

Responsibilities

  • Advanced relational and non-relational database design and optimization
  • Stream and batch data processing paradigms
  • Data pipeline orchestration and workflow management
  • Implementing cloud infrastructure paradigms and data security/governance best practices

Key facts

Hard skills

Other skills

  • Collaboration
  • Systems Thinking

About the company

Wizeline logo

Wizeline

IT Services & IT Consulting

Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.

Company details

IndustryIT Services & IT Consulting
Company size1001 - 5000

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Job description

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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