Senior Data Engineer | Tech Lead

InnoWave • English: C1 • Artificial Intelligence • Doctoral Degree (PhD) • Python • SQL • ETL/ELT • 10 days ago
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Salary
≈ $53k – $116k per year (Estimated)
Location
In office (Lisbon)
Seniority
Staff · 6+ years exp
Employment
Full-Time

First seen by Alion on Sep 17, 2026.

Overview
Company
Impact
Profile match

InnoWave

InnoWave is a AI-driven globalconsulting companyWe empower business to shape the future through a culture of innovation.
innowave.tech • Artificial Intelligence • Est. 2018

Sobre a vaga

InnoWave is looking for a dynamic, agile person, good communication skills to complete our team. The Senior Data Engineer | Tech Lead will provide technical direction and mentor engineering teams while translating business needs into data solutions.

O que vais fazer

  • Design and implementing ETL/ELT data pipelines and Medallion Architecture (Bronze, Silver, Gold)
  • Work with structured and unstructured data
  • Analyze data and generate insights to support decision-making
  • Act as a liaison between technical teams and business stakeholders
  • Translate business needs into data solutions
  • Develop dashboards and reports
  • Collaborate with cross-functional teams
  • Provide technical direction and mentor engineering teams

O que é pedido

  • Degree in Computer Science or in similar areas
  • 6+ years of professional experience in Data Engineering, Software Engineering, or a related technology field
  • 3+ years of experience in a Technical Lead / Lead Engineer role, with demonstrated experience providing technical direction and mentoring engineering teams
  • Strong hands-on experience with Azure Databricks, including Databricks Jobs/Workflows, Notebooks, SQL Warehouses, Delta Lake, and Unity Catalog
  • Strong experience designing and implementing ETL/ELT data pipelines and Medallion Architecture (Bronze, Silver, Gold)
  • Strong SQL, Python, and PySpark skills, with experience in data transformation, performance optimization, troubleshooting, and scalable data processing
  • Solid experience with Azure DevOps, including Git, branching strategies, CI/CD pipelines, and deployment automation
  • Experience with Databricks deployment and environment promotion across Development, QA, and Production environments using Azure DevOps
  • Strong technical and team leadership skills, including mentoring, technical guidance, code and design reviews, and supporting the professional development of team members
  • Strong communication and stakeholder management skills, with the ability to translate business requirements into technical solutions and communicate technical concepts clearly
  • Ability to work effectively in an international, distributed team and confidently lead technical discussions with English-speaking stakeholders
  • Proactive, accountable, pragmatic, and comfortable taking ownership of technical decisions and delivery outcomes
  • Fluent in English - written and spoken (mandatory)

Valorizado

  • Databricks certifications
  • Experience with enterprise-scale data platforms and high-volume data processing
  • Experience with infrastructure/configuration automation and DevOps best practices
  • Experience working in large international organizations or US-based projects
  • Experience developing and supporting Databricks Apps and solutions within the Databricks platform
  • Good understanding of data governance, security, access control, data quality, and enterprise data platform best practices

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

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