Lead Data Engineer
Tiger AnalyticsBarcelona, Catalonia, Spain
Posted April 4, 2025
Full Time
About the Company
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Job Description
Tiger Analytics is the largest AI and advanced analytics consulting firm, seeking a Lead Data Engineer with 8+ years of experience in data engineering. The role involves leading a team, designing and implementing data architecture patterns in Azure, and working with junior team members on complex user stories.
Requirements
- 8+ years of overall industry experience specifically in data engineering
- Strong knowledge of data engineering principles, data integration, and data warehousing concepts
- Very Strong technical developer ( Pyspark, Python, DBX, Azure DE stack (ADF, Logic apps, devOps – CI/CD)).
- Preferably Databricks or Microsoft certified Engineer (advanced level certifications)
- Hands on person, should be able to write code as he needs to work on complex user stories
- Architecture
- Very good at understanding and has ability to implement published common data architecture patterns in Azure.
- Tech Leadership
- Ability to lead and guide junior team members in programming & code deployment activities.
- Participate in engineering discussions and lead discussions into constructive actionable, tangible task items.
- Identify and highlight engineering and business risks at right moments, propose mitigation plans.
- Participate in engineering–product scrum discussions and help prioritize, document user stories, and look after
Benefits
- Excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility
