Data Team Lead
PROJECT OVERVIEW
We are working with a global technology company operating in the maritime and offshore domain, delivering digital solutions used by thousands of professionals worldwide. The company combines decades of industry expertise with modern innovation to build scalable platforms that support safety, compliance, and operational efficiency.
The product ecosystem includes solutions for fleet operations, training, compliance, voyage planning, and performance optimization — helping organizations manage complex processes from ship to shore.
The mission of the project is to support a safer and more sustainable future by enabling data-driven decision-making and contributing to the transition toward more efficient and environmentally responsible operations.
IN THIS ROLE, YOU WILL
Create and maintain optimal data pipeline architecture from multiple data sources
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Ensure robust data validation and verification processes to ensure the correctness of data for reporting
Develop and maintain data warehousing approaches, including the modelling and pipelining of data for storage and retrieval
Keeping data separated and secure as per best practice guidelines
Ensure that the data taken from the information sources is accurate, liaising with other business functions when necessary
Proactively keep up to date with the latest cloud data technology
Provide support, documentation and training to other applicable team members as and when required to ensure that overall objectives are met
IF YOU HAVE
Experience with building and maintaining ETL/ELT pipelines as part of an automated workflow on high-volume, high-dimensionality data from varying sources
Good understanding on how data management, cleansing and query optimisation influences pipeline, and data model design
Good understanding of dimensional modelling and slowly changing dimensions
Experience using cloud technologies including Azure, AWS (preferred)
Experience with scripting languages (e.g. Python, PySpark)
Demonstrably strong problem-solving skills to help design and implement solutions to data problems.
Experience of CICD technologies and source control e.g. Liquibase, Jenkins
Understand and apply infrastructure knowledge to develop and maintain an efficient environment.
Modelling datasets in a way applicable for use in different visualisation tools (e.g. Power BI, Apache Superset)
Strong stakeholder management skills
Highly numerate and logical
Ability to clearly communicate and present outputs to stakeholders
Experience of working in fast paced environments to strict deadlines
Team player and can communicate effectively to technical and non-technical colleagues
Passionate about continuous improvement, collaboration and knowledge sharing at all levels
The ability to manage time, prioritise tasks, self-review your work and produce deliverables of a high quality under tight client deadlines in time pressured environments
It would be useful if you’ve got experience with some of these technologies- AWS Glue, AWS RDS, AWS Aurora, AWS S3, Amazon Athena, Amazon EMR, PostgreSQL, Python, Bitbucket, Liquibase, Jenkins, Lucid chart
Experience in developing deliverables in visualisation tools such as Tableau, PowerBI or open-source BI tools such as Apache Superset (Desirable)
AS AN OPINOV8R, YOU WILL HAVE
Digital-First Approach: Great talent knows no borders! You can work from wherever you are — we hire and collaborate with professionals worldwide.
Remote Work Model: Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.
Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity.
Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience.
Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.
HOW’S THE HIRING PROCESS GOING
We strive to make our hiring process smooth and transparent to find the perfect match for both sides. Steps may differ depending on the role, but here’s what to expect:
Initial Interview: If your background fits the role, we’ll invite you for an interview with a Talent Acquisition Specialist.
Technical Interview: Depending on the position, you may complete a technical assessment or test task.
Final Decision: After all steps, we’ll get back to you with the result and next steps.
- Department
- Data Engineering
- Role
- Senior Data Engineer
- Locations
- Portugal, Europe
- Employment type
- Full-time