Senior Data Engineer For An European It Hub

Detalles de la oferta

Company A leading international retailer with more than 500,000 employees worldwide in 33 different countries and over 13,000 stores, has stablished an IT HUB in Barcelona as part of his IT division, responsible for the selection and provision of IT infrastructure, IT platforms and business applications. With our agile mentality we are looking for people that is willing to make an impact on projects and solutions used worldwide by millions of customers. Agrupa Global Talent collaborates with our client to attract the best talent for its ITHUB located in Barcelona. We are looking for open-minded colleagues with passion for technology. We offer you diverse and exciting career opportunities in a dynamic work environment that stands for development and progress. Elevate your career with us, where development and progress are at the heart of everything we do. If you feel ready and think this opportunity is for you, we would be happy to meet you. Key Responsibilities Collaborate with other teams and build data services for data ingestion, processing and visualization of data product's insights. Integrate cloud providers and third-party tools to provide teams with a holistic overview of their cloud costs, code quality and software security Provide essential services for the platform like billing data ingestion, configuring end-user data configuration and management portals, managing data contracts or defining data pipelines between different services. Design, develop and implementation of data integration solutions supporting batch/ETL and API-led integrations that deliver tangible business value. Proactively assess the current state of the technology and identify gaps and overlaps. Capture the future state of technology vision in actionable, context-specific roadmaps. Develop policies around data quality, data security, data retention, data stewardship, and proactively identify and support project impacts Serves as an expert level technical resource across multiple initiatives. Work in a team-based environment including a global workforce, vendors, and third-party contractors. Translate high-level business requirements into detailed technical specifications. Collaborate closely with peers, offering mentorship and fostering a knowledge-sharing environment. Continuously evaluate and advocate for advanced tools, technologies, and processes that drive industry best practices. Actively participate in our Agile development processes, contributing to team meetings and delivering incremental improvements. Collaborate with cross-functional teams to understand data requirements and deliver reliable data solutions. Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency. Assist in the design and development of APIs for seamless data integration across platforms. Required Skills Must have: Bachelor's degree in computer science, Engineering, or a related field. 5 years of Data engineering experience in designing/ building complex data pipelines supporting data analytics and data warehousing. 4 years working with Data and relevant computation frameworks and system. 4 years using Python programming language. 5 years' experience in writing SQL and query optimization. 3 years of experience with Cloud Technologies preferably AWS. 3 years of experience working with columnar databases such as AWS Redshift, Snowflake, Databricks, Vertica, etc. Nice to have: Master's degree in computer science or engineering. Cloud Technologies: Proven experience in a cloud computing environment, preferably GCP, Azure, AWS or similar. Python: Practical development and data analysis experietlence using Python and/or PySpark Advanced Data Processing: Knowledge in using data processing technologies such as Apache Spark, Flink or Kafka. Workflow Management: Familiarity with orchestration and scheduling tools like Apache Airflow. Experience with data reporting and visualization tools (e.g., PowerBI, MicroStrategy, Tableau or similar). Experience with Agile data engineering principles and methodologies. Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies. Strong understanding of ELT methodologies and tools. Experience in data warehousing and familiarity with data warehousing concepts and terminologies. Capable of troubleshooting and conducting root cause analysis to address and resolve data issues effectively. Analyze and develop physical database designs, data models and metadata Communication: Outstanding communication skills, coupled with strong problem-solving, organizational, and analytical abilities. Soft skills and competencies Fast adaptation to changing requirements and strong problem-solving skills. Passion for learning new tools, languages and frameworks. Ability to be creative and innovation-minded, self-motivated and proactive. To work in a collaborative model, side by side with the business. Fluency in English to work in a multi-cultural environment. What we offer You will be part of an international team composed by people from different countries and backgrounds, where you'll be able to share your experience and knowledge to carry-out team work and meet the objectives. On top of this, you'll have a personal follow-up with your management team to help you understanding all business-related questions and guide you in your professional career. We offer a competitive compensation and benefits package: lunch vouchers, health and dental insurance, transport, wellbeing, etc. Contact If you are interested, please apply directly or send your CV to xavier.salraagrupaglobal.com


Salario Nominal: A convenir

Fuente: Adzuna_Ppc

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