Senior Data & Integration Engineer | Tech Lead

Innowave Group; Portugal; Hybrid; EUR 85,000 - 110,000; Full time

Job summary

InnoWave is seeking a Senior Data & Integration Engineer to design and implement ETL/ELT processes, integrate data across enterprise systems, and mentor engineering teams. You will work with Azure Databricks, Terraform/IaC, and Azure services to deliver secure, scalable solutions.

English fluency is mandatory and you will collaborate with international teams. The role requires 6+ years in data or software engineering and 3+ years in a lead role, with strong communication and stakeholder

Qualifications

• 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 knowledge of ETL/ELT processes and data integration patterns, including data ingestion, transformation, orchestration, and integration across enterprise systems.
• Strong programming skills in SQL, Python, and PySpark.
• Proven experience designing and implementing cloud-based integration architectures, particularly using Microsoft Azure integration services.
• Strong hands-on experience with Terraform and Infrastructure as Code (IaC), including infrastructure provisioning, reusable modules, configuration management, and deployment automation.
• Strong experience with Azure integration services, particularly Azure Service Bus, Azure Event Hubs, and Azure Functions, including messaging, event-driven architectures, asynchronous processing, and API-based integrations.
• Experience designing and implementing REST APIs and system-to-system integrations, including authentication, authorization, error handling, retries, and monitoring.
• Experience with Azure DevOps, including Git, branching strategies, CI/CD pipelines, and automated deployments across Development, QA, and Production environments.
• Experience designing secure, scalable, resilient, and maintainable solutions, covering both data engineering and integration architectures.
• Strong understanding of cloud security and identity management, including Managed Identities, Service Principals, OAuth 2.0, certificates, and secure secrets management.
• Experience implementing monitoring, logging, and troubleshooting mechanisms using Azure Monitor, Application Insights, and Log Analytics.
• Proven ability to provide technical leadership, establish development standards, guide engineering teams, conduct code reviews, and ensure solution quality.
• Ability to work across data engineering and integration domains, translating business and technical requirements into robust architectural solutions.
• Strong communication and stakeholder management skills, with the ability to engage with technical and non-technical stakeholders.
• Experience working with international and distributed teams. Proactive, accountable, and pragmatic mindset, with a strong sense of ownership and ability to drive technical topics independently.
• Fluent in English - written and spoken (mandatory).

Responsibilities

• Design and implement ETL/ELT processes and data integration patterns, including ingestion, transformation, orchestration, and integration across enterprise systems.
• 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

Data engineering

Software engineering

Lead engineer

Technical leadership

SQL

Python

PySpark

Azure Databricks

Terraform

IaC

Azure DevOps

API design

REST APIs

Azure integration services

Azure Service Bus

Azure Event Hubs

Azure Functions

Cloud security

Monitoring

English

Education

Degree in Computer Science or in similar areas

Tools

Azure Databricks

Databricks Jobs/Workflows

Delta Lake

Unity Catalog

Terraform

IaC

Azure DevOps

Git

Azure Service Bus

Azure Event Hubs

Azure Functions

Job description

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 & Integration Engineer

Responsibilities

• Design and implementing ETL/ELT processes and data integration patterns, including data ingestion, transformation, orchestration, and integration across enterprise systems.
• 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 knowledge of ETL/ELT processes and data integration patterns, including data ingestion, transformation, orchestration, and integration across enterprise systems.
• Strong programming skills in SQL, Python, and PySpark.
• Proven experience designing and implementing cloud-based integration architectures, particularly using Microsoft Azure integration services.
• Strong hands-on experience with Terraform and Infrastructure as Code (IaC), including infrastructure provisioning, reusable modules, configuration management, and deployment automation.
• Strong experience with Azure integration services, particularly Azure Service Bus, Azure Event Hubs, and Azure Functions, including messaging, event-driven architectures, asynchronous processing, and API-based integrations.
• Experience designing and implementing REST APIs and system-to-system integrations, including authentication, authorization, error handling, retries, and monitoring.
• Experience with Azure DevOps, including Git, branching strategies, CI/CD pipelines, and automated deployments across Development, QA, and Production environments.
• Experience designing secure, scalable, resilient, and maintainable solutions, covering both data engineering and integration architectures.
• Strong understanding of cloud security and identity management, including Managed Identities, Service Principals, OAuth 2.0, certificates, and secure secrets management.
• Experience implementing monitoring, logging, and troubleshooting mechanisms using Azure Monitor, Application Insights, and Log Analytics.
• Proven ability to provide technical leadership, establish development standards, guide engineering teams, conduct code reviews, and ensure solution quality.
• Ability to work across data engineering and integration domains, translating business and technical requirements into robust architectural solutions.
• Strong communication and stakeholder management skills, with the ability to engage with technical and non-technical stakeholders.
• Experience working with international and distributed teams. Proactive, accountable, and pragmatic mindset, with a strong sense of ownership and ability to drive technical topics independently.
• Fluent in English - written and spoken (mandatory).

Nice to Have

• Microsoft Azure certifications, particularly Azure Developer or Azure Solutions Architect.
• Experience with Azure API Management (APIM) and enterprise API governance.
• Experience with Azure Event Grid and other Azure messaging and event-driven services.
• Experience integrating enterprise platforms such as Oracle, Salesforce, and other cloud-based systems.
• Experience with hybrid integration architectures, connecting on-premises systems with cloud-based platforms.
• Knowledge of Enterprise Integration Patterns (EIP), publish/subscribe, event sourcing, and distributed systems.
• Experience with mTLS, certificate management, and advanced authentication mechanisms.
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience working in large international organizations or US-based projects. Knowledge of data governance, security, 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. InnoWave will not pay fees to any third-party agency or company that does not have a signed agreement, do not submit resumes/CV's directly.

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