Hybrid Data Lead – Data Engineering

Posted last week

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About the role

  • Work with stakeholders to understand data requirements and architect end-to-end ETL solutions.
  • Design and maintain data models, including schema design and optimization.
  • Develop and automate data pipelines to ensure quality, consistency, and efficiency.
  • Lead the architecture and delivery of key modules within data platforms.
  • Build and refine complex data models in Power BI, simplifying data structures with dimensions and hierarchies.
  • Write clean, scalable code using Python, Scala, and PySpark (must-have skills).
  • Test, deploy, and continuously optimize applications and systems.
  • Lead, mentor, and develop a high-performing data engineering team, fostering a culture of collaboration, innovation, and continuous improvement while ensuring alignment with business objectives.
  • Mentor team members and participate in engineering hackathons to drive innovation.

Requirements

  • 7+ years of experience in Data Engineering, with at least 2 years in a leadership role.
  • Strong expertise in Python, PySpark, and SQL for data processing and transformation.
  • Hands-on experience with Azure cloud computing, including Azure Data Factory and Databricks.
  • Proficiency in Analytics/Visualization tools: Power BI, Looker, Tableau, IBM Cognos.
  • Strong understanding of data modeling, including dimensions and hierarchy structures.
  • Experience working with Agile methodologies and DevOps practices (GitLab, GitHub).
  • Excellent communication and problem-solving skills in cross-functional environments.
  • Ability to reduce added cost, complexity, and security risks with scalable analytics solutions.
  • Nice to have:
  • Experience working with NoSQL databases (Cosmos DB, MongoDB).
  • Familiarity with AutoCAD and building systems for advanced data visualization.
  • Knowledge of identity and security protocols, such as SAML, SCIM, and FedRAMP compliance.

Benefits

  • Health insurance fully paid–Spouse, children, and Parents
  • Accident insurance fully paid
  • Flexible working allowance
  • 25 days holidays
  • 7 paid sick days
  • 10 public holidays
  • Employee Assistance Program

Job title

Data Lead – Data Engineering

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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