Summary
Location
Porto
Type
full-time
About this role
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
- As a Data Engineering Lead, you oversee the design, development, and maintenance of data pipelines and architectures. Ensure alignment with business objectives, manage data engineering teams, and optimize data processing workflows. Collaborate with stakeholders to enhance data integration, quality, and performance. Support organisational data strategy and objectives.
Responsibilities
- Lead and participate in the design and development of data engineering solutions, ensuring robust data pipelines and ETL processes.
- Collaborate with data scientists, analysts, and IT teams to understand data needs and deliver scalable and efficient data solutions.
- Ensure adherence to best practices in data engineering, including data modeling, data integration, and data quality management.
- Manage the development and maintenance of ETL processes to ensure the accurate and timely movement of data across systems.
- Implement and maintain data governance policies, ensuring data quality, security, and compliance with industry standards and regulations.
- Provide technical guidance and mentorship to less experienced data engineers, fostering a culture of continuous improvement and innovation.
- Troubleshoot common issues in data engineering and implement solutions to optimize performance and reliability.
- Develop and maintain comprehensive documentation for data engineering processes, including data models, data flow diagrams, and metadata definitions.
- Work with project managers and stakeholders to accurately forecast man-hours, resource needs, and completion dates for deliverables.
- Stay updated with the latest trends and technologies in data engineering and apply this knowledge to improve the organization's data capabilities.
- Facilitate communication and collaboration among cross-functional teams involved in data projects.
- Report on the progress, performance, and impact of data engineering initiatives to senior leadership, providing recommendations for continuous improvement.
Education
- Minimum Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field is required. Certifications such as TOGAF (The Open Group Architecture Framework), ITIL (Information Technology Infrastructure Library), or relevant data engineering and management certifications are preferred. Proficiency in English is essential for effective communication with team members, stakeholders, and external vendors. A Master's degree in Computer Science, Data Science, Business Administration, or a related field is preferred but not mandatory.
Experience
- Minimum of 7 years of experience in data engineering, data architecture, or a related field, with at least 3 years in a leadership or people management role.
- Proven experience in designing and implementing data engineering strategies and frameworks that align with business objectives and IT strategy.
- Strong technical background with hands-on experience in managing complex data infrastructures, including data modeling, ETL processes, cloud environments, and big data technologies.
- Demonstrated ability to develop and enforce data governance policies, standards, guidelines, and best practices to ensure data quality, security, and compliance.
- Experience with data engineering tools and frameworks such as Apache Hadoop, Spark, or similar platforms.
- Strong understanding of Agile and DevOps methodologies and their application in data engineering.
- Proven track record of leading cross-functional teams and collaborating with stakeholders at all levels of the organization.
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Problem solving and solution oriented skills are essential.
Functional Competencies
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.
Other facts
About singlebuoy
SBM Offshore is a leader in floating production and mooring systems (FPSO) employing over 7000 people throughout the world.
What you'll do
- As a Data Engineering Lead, you will oversee the design, development, and maintenance of data pipelines and architectures while ensuring alignment with business objectives. You will manage data engineering teams and optimize data processing workflows, collaborating with stakeholders to enhance data integration and quality.
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