Minimum 7-10 years of experience in data engineering., Proficient in database technology, including cloud platforms like Snowflake., Strong skills in Python for data manipulation and ETL/ELT processes., Excellent communication skills with a focus on stakeholder engagement..
Key responsabilities:
Lead the technical aspects of data engineering projects and ensure compliance with GDPR.
Develop and maintain relationships with stakeholders, providing guidance on data solutions.
Accountable for timely delivery of data solutions, focusing on automation and standardization.
Work within an Agile framework to convert user stories into technical tasks and ensure efficient processes.
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NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future.
As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity.
Lead the technical aspects of data engineering projects working in an agile manner to deliver fit for purpose ETL solutions. Rapidly prototype and develop tactical pipeline solutions and work with the Group Data Warehouse team to embed strategically. Develop data layers and views to enable Data Analysts and Data Scientists to efficiently undertake their work.
The role of the Data Engineer is to collaborate with team members to deliver technical aspects of projects, ensuring solutions are designed, built, and implemented effectively to meet business requirements and align with the company's technology strategy and standards. The role involves hands-on development, engaging in modern data engineering practices to enrich and manage the company's data solutions, including cloud-based data warehouses and data lakes, ensuring compliance, efficiency, and the delivery of value to the business.
What You'll Be Doing
Ensure solutions developed are compliant with GDPR, meet business requirements, adhere to internal quality, documentation standards, and deliver intended value
Develop and maintain productive relationships with stakeholders, providing advice and guidance on data solutions to improve their knowledge and understanding
Accountable for the timely delivery of data solutions to the business, aiming for automation and standardization to support business requirements
Continuously develop processes for efficiency and performance improvement, ensuring code is scalable, portable, and reusable
Ensure familiarity with IT controls and adhere to them as part of the solution development life cycle (SDLC)
Work within an Agile delivery framework, ensuring timely and accurate delivery of data solutions to the business that align to requirements
Provide input into team and project planning activities, converting user stories into technical tasks
Consumer Duty accountabilities - Engage stakeholders and undertake and appropriate testing prior to the implementation of any system or business changes to ensure the impact on internal stakeholders and customers is understood
What You'll Bring Along
Minimum 7-10 years of experience in data engineering
Proficient in database technology, including cloud platforms such as Snowflake
Use of Python for data manipulation
Familiar with modern project delivery methodologies (Agile, Waterfall, etc.)
Understanding of dimensional/schematic modelling and design
Experience with data integration, ETL/ELT, and data management practices
Proven ability to communicate clearly and logically, tailoring language and tools to suit the audience
Demonstrated experience in data engineering, including hands-on development with relevant tools and technologies
Experience in defining and documenting data solutions, including complex dimensional models
Delivering change within a highly regulated environment, with test and release management experience
Advanced proficiency in English (written and spoken)
Excellent communication skills with a high degree of customer focus
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.