Senior Data Engineer | Tech Lead

InnoWave; Lisboa; Presencial; EUR 90 000 - 120 000; Tempo integral

Resumo da oferta

InnoWave in Portugal is seeking a Senior Data Engineer to design and implement ETL/ELT data pipelines using Medallion Architecture, working with structured and unstructured data, and translating business needs into data solutions.

You will mentor engineering teams, develop dashboards and reports, collaborate with cross-functional teams, and communicate complex technical concepts to English-speaking stakeholders.

Qualificações

• Bachelor's degree in Computer Science or equivalent.
• 6+ years of professional experience in Data/Software Engineering or related field.
• 3+ years in a Technical Lead / Lead Engineer role with mentoring experience.
• Strong hands-on with Azure Databricks, Databricks Jobs/Workflows, Notebooks, SQL Warehouses, Delta Lake, Unity Catalog.
• Strong SQL, Python, and PySpark skills with data transformation and optimization.
• Experience with Azure DevOps, Git workflows, CI/CD pipelines and deployment automation.
• Experience deploying Databricks across Development, QA, Production environments.
• Excellent communication with stakeholders and ability to lead technical discussions.

Responsabilidades

• Design and implement ETL/ELT data pipelines and Medallion Architecture (Bronze, Silver, Gold).
• Work with structured and unstructured data and generate insights to support decisions.
• Analyze data and translate business needs into data solutions.
• Act as liaison between technical teams and business stakeholders.
• Develop dashboards and reports for decision making.
• Collaborate with cross-functional teams and provide technical direction.
• Mentor engineering teams and guide technical decisions.

Conhecimentos

Azure Databricks

SQL

Python

PySpark

Data pipelines

Mentoring

Formação académica

Degree in Computer Science

Ferramentas

Azure DevOps

Git

Descrição da oferta de emprego

InnoWave is looking for a dynamic, agile person, good communication skills to complete our team. If you're based in Portugal, this might be the opportunity for you!

Senior Data Engineer

Responsibilities

• 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.

Skills

• 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).

Nice to Have

• 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.

InnoWave gives equal opportunity in employment regardless of gender, gender identity, sexual orientation, marital status, race, nationality, religion, age, disability, political beliefs, or any other factor.