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Open nowFirst seen 11 hours ago

Senior Data Engineer - Hybrid Porto (3 days/week office)

HumanIT Digital Consulting107 open roles

Where
Portugal, Portugal
Work mode
Hybrid
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Your applicationOpen nowSenior Data Engineer - Hybrid Porto (3 days/week office)HumanIT Digital Consulting · Portugal, Portugal

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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: first seen 11 hours ago

The posting

ABOUT THE OPPORTUNITY

An international technology-driven organization is looking for a Senior Data Engineer to join a highly skilled data team focused on building scalable and modern data platforms. This opportunity is ideal for professionals who enjoy working on complex enterprise data ecosystems, designing high-performance pipelines, and collaborating with cross-functional teams in an innovative and data-centric environment.

You will play a key role in the development and optimization of cloud-native data solutions, supporting strategic business initiatives through reliable, scalable, and secure data architectures. The position offers exposure to large-scale projects, modern big data technologies, and an international working environment where English is the primary communication language.

The role starts with an initial on-site onboarding period during the first month, followed by a hybrid model with 3 office days per week in Porto.

PROJECT & CONTEXT

The project focuses on the evolution of enterprise-grade data platforms, including data lakes, data warehouses, real-time streaming pipelines, and cloud-based analytics solutions. The team operates within Agile and DevOps methodologies, ensuring continuous integration and continuous delivery practices across the data engineering lifecycle.

As a Senior Data Engineer, you will design, develop, and maintain scalable ETL/ELT pipelines while ensuring data quality, governance, security, and performance optimization. You will collaborate closely with Data Scientists, Analysts, Product teams, and Engineering stakeholders to deliver robust and business-oriented data solutions.

The technical ecosystem includes Python, Apache Spark, Apache Kafka, Hadoop, SQL/NoSQL databases, AWS, Microsoft Azure, Google Cloud Platform (GCP), Tableau, and Power BI.

English communication is required on a daily basis in an international environment.

WHAT WE'RE LOOKING FOR (Required)

  • Minimum 7 years of experience in Data Engineering, Data Architecture, or related areas
  • At least 3 years of experience in a Senior role
  • Strong experience with Python for data processing and automation
  • Hands-on experience with Apache Spark, Hadoop ecosystem, and Apache Kafka
  • Solid experience designing and maintaining ETL/ELT pipelines and distributed data processing architectures
  • Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform (GCP)
  • Strong knowledge of SQL, NoSQL, and columnar database technologies
  • Experience with data warehousing, data lakes, and scalable cloud-native architectures
  • Knowledge of data governance, data quality standards, and data security best practices
  • Experience implementing CI/CD pipelines within Agile and DevOps environments
  • Familiarity with data visualization tools such as Tableau and Power BI
  • Strong communication and stakeholder management skills
  • Ability to mentor junior engineers and contribute to technical leadership initiatives
  • Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
  • Portuguese and English language skills required
  • English level: minimum B2 (Upper-Intermediate)

NICE TO HAVE (Preferred)

  • Experience with Java or Scala for data engineering solutions
  • Experience with Looker or other BI/analytics platforms
  • Exposure to real-time data streaming architectures and event-driven systems
  • Knowledge of advanced database optimization strategies, partitioning, and indexing techniques
  • Experience working in highly regulated enterprise environments
  • Google Cloud Professional Data Engineer certification
  • AWS Certified Big Data – Specialty certification
  • Microsoft Certified: Azure Data Engineer Associate certification
  • Master's degree in Computer Science, Data Science, or related field
  • Previous experience in international and multicultural environments

Compensation: €47,000 – €60,000/year gross, depending on experience and seniority level.

Why HumanIT people stay (4.4 Glassdoor, 89% recommend)

- 15th month salary - Health insurance covering your family - Birthday off - Mobility program for digital nomads - Real work-life balance

Full benefits https://www.humanit.pt/careers/#perks What it's really like https://www.humanit.pt/careers/#work-at

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