
Senior Data Engineer
- Sant Just Desvern, Barcelona
- Permanente
- Tiempo completo
- Act as One Team by fostering inclusion, collaboration, and respect
- Drive for Excellence by being agile, innovative and efficient
- Do What's Right by acting safely, ethically, and sustainably
- Solve complex supply chain data problems to deliver insights that helps the organization's business to 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 process 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
- Research experience in Data Science or experience Post graduate degree in STEM field with 3-5 years' experience as Data Engineer
- Data Engineering experience using GCP portfolio (Big query, DataStream, DataProc, DataPlex and DataForm)
- Skilled in data engineering, Python, dbt, SQL, data analysis, analytical skills, teamwork, and communication skills.
- Can design the necessary data architecture to support the data analytics squads
- Can evaluate different cloud services to implement the most cost-efficient solutions
- Deep understand of data mesh concepts
- Can help business structure the data architect solution.
- Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred)
- Experience developing and maintaining data warehouses in big data solutions
- Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
- Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
- Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
- Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka (Preferred)
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
- Passionate about Agile software processes, data-driven development, reliability, and experimentation
- Flexibility to changes in work direction as the project develops
- Excellent communication, listening, and influencing skills
- Strong work ethic; ability to work at an abstract level and gain consensus