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Senior Data Engineer

SBM Offshore -
4100 Porto

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Mestrado
Graduação

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Senior Data Engineer

Req Id: 20340

Job Family: Data Management

Location: Porto, PT, 4100-136

Description:

Imagine your career taking you to the depths of innovation and the heights of impact. Our people enable continuous progress. Their commitment, collective expertise, and unique capabilities are the engine room behind SBM Offshore’s True. Blue. Transition. - shaping the future of energy, and beyond.

About Us:
SBM Offshore is the world’s deepwater ocean-infrastructure expert. Our work is already resulting in cleaner, more efficient energy production. True. Blue. Transition. is our promise to enable that into the future while at the same time using our expertise to support new and existing markets in the blue economy. It starts with Advancing our Core: continuing to advance the decarbonization of traditional energy production. While Pioneering More: helping to enable the energy transition and using our unique capabilities in ocean infrastructure to support more industries to grow sustainably. Sharing our experience for a better blue tomorrow.

Purpose

The Senior Data Engineer is a hands-on technical expert responsible for delivering complex data solutions within SBM’s lakehouse ecosystem. This role focuses on designing, building, and optimizing data pipelines and transformations across the Medallion architecture (Bronze, Silver, and Gold), ensuring high levels of performance, scalability, and governance. Working closely with data architects, the Senior Data Engineer ensures alignment with enterprise data models and standards while mentoring peers, promoting engineering excellence, and driving continuous improvement of SBM’s metadata-driven data platform.

Responsibilities

Lead and participate in the design, development, and implementation of scalable data engineering solutions across the Medallion architecture (Bronze, Silver, Gold).
Design and maintain efficient data pipelines and integration processes using Azure Data Factory, Synapse, and Azure Data Lake Storage.
Develop, test, and deploy SQL and PySpark ETL/ELT workflows ensuring data quality, consistency, and performance.
Collaborate with data architects, data scientists, analysts, and business stakeholders to define data requirements and deliver high-quality solutions aligned with governance and modeling standards.
Monitor, troubleshoot, and optimize data pipelines and architectures for scalability, reliability, and efficiency.
Ensure compliance with data governance, security, and regulatory standards throughout the data lifecycle.
Maintain clear technical documentation and promote reusable frameworks, automation, and best practices.
Mentor junior engineers and foster a culture of technical excellence, collaboration, and continuous improvement.

Education

Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field is required.
A Master’s degree in Data Science, Computer Science, or a related field is an advantage but not mandatory.
Advanced certifications in data engineering or related disciplines (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty, Microsoft Certified: Azure Data Engineer Associate – DP-203, or Microsoft Certified: Fabric Analytics Engineer Associate – DP-600) are preferred.
Proficiency in English is essential for effective communication with team members, stakeholders, and external vendors.

Experience

7+ years of professional experience in data engineering with proven expertise in Azure technologies, including at least 2 years in a leadership or senior technical role.
Strong track record in designing, implementing, and managing complex data pipelines, ETL/ELT processes, and integration solutions.
Advanced knowledge of data modeling, dimensional design, and data warehousing using SQL, NoSQL, and columnar databases.
Hands-on experience with Azure Data Factory, Synapse (dedicated and serverless), and Azure Data Lake Storage.
Proficiency in Python and PySpark for scalable data processing; additional experience with Java or Scala is a plus.
Expert-level SQL skills for complex transformations, optimization, and performance tuning.
Familiarity with Agile and DevOps methodologies, including CI/CD implementation using Azure DevOps or GitHub Actions.
Working knowledge of data visualization tools such as Power BI, Tableau, or Looker.
Solid understanding of data governance, data quality, and security best practices (RBAC, encryption, GDPR).
Strong leadership and communication skills, with proven ability to mentor engineers and collaborate effectively with cross-functional teams.
Exposure to Microsoft Fabric and Cognite Data Fusion (CDF) is an advantage.

Functional Competencies

Compliance

Governance, Risk and Control

Analytics and reporting

IT Tools and application

Cost and budget control

Business Partnering

Digital savvy

Business Acumen

Contract Management

Management of change application

GENERAL INFORMATION

SBM Offshore N.V. is a listed holding company that is headquartered in Amsterdam. It holds direct and indirect interests in other companies that collectively with SBM Offshore N.V. form the SBM Offshore Group (“the Company”). For further information, please visit our website at www.sbmoffshore.com. The companies in which SBM Offshore N.V., directly and indirectly, owns investments are separate entities.

SBM Offshore is proud to be an Equal Employment Opportunity and Affirmative Action employer. SBM Offshore does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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