Location: Barcelona Hub, Barcelona, Spain.
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Title:
Senior Data Engineer
Overview
We are seeking a highly motivated and experienced Senior Data Engineer with strong expertise in data architecture, engineering, analysis, reporting, and a basic understanding of data science techniques. The role is part of an integral team building data pipelines, delivering insights and enabling analytics strategy.
Essential Functions
Solve complex data problems to deliver insights that help the organization achieve their goals.
Create data products for analytics and data scientist team members to improve their productivity.
Mentor and coach other data and analytic professionals on data standards and practices.
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve the organization’s productivity as a team.
Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
Ensure timely analysis and testing for regular maintenance of solutions over time.
Accountable for the results of a large and/or moderately complex project(s), providing input on resource planning and policy development.
Lead the definition of coding best practices, communicate them, and build processes to assure implementation.
Create structured, organized, readable, and reusable code/analysis using best practices.
Revise code and identify gaps and suggest improvements to reach best practices.
Manage operational plans, large projects and/or processes with limited oversight from manager, and provide leadership to professionals.
Contribute to short to mid-term talent optimization plans to execute strategies in the job area.
Lead technical discussion across other data engineers to ensure best practices, approaches, and implementation.
Stakeholders include Data engineers, BSA, MLE, product owners, and main business stakeholders.
Help train/upskill members of the team in data engineer tools/techniques and provide high-quality solutions to product owners.
Requirements
PhD in STEM field with research experience in data science or a postgraduate degree in STEM field with 3-5 years experience as Lead Data Engineer.
Benefits
Strong compensation and benefits package.
Generous paid time off program. xpzdshu
Flexible work arrangements and hybrid work environment.
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