Data Engineer designing and implementing big data solutions at DATAIS. Collaborating with clients to deliver actionable business insights and innovative data products in a hybrid environment.
About the role
- Data Engineer building and maintaining data pipelines for Farfetch’s data platform. Collaborating with the Data team to improve data reliability and architecture in Porto.
Responsibilities
- Contribute to the hiring and training of engineers within the managed team
- Assure the collaboration of managed team across different engineering teams (inside and outside of the domain) and adherence to the defined global engineering best practices
- Design and build scalable & reliable data pipelines (ETLs) for our data platform
- Constantly evolve data models & schema design of our Data Warehouse to support self-service needs
- Work cross functionally with various teams, creating solutions that deal with large volumes of data
- Work with the team to set and maintain standards and development practices
- Be a keen advocate of quality and continuous improvement.
Requirements
- You have experience as a professional with solid technical background building and maintaining data pipelines in a custom or commercial ETL tool (eg. SSIS, Talend, Informatica) (Airflow is a plus)
- You have experience working in a Data Warehouse environment with varied forms of data infrastructure, including relational databases, Hadoop, and Column Store
- Expert in creating and evolving dimensional data models & schema designs to improve accessibility of data and provide intuitive analytics
- Basic experience and knowledge of cloud environments (eg. AWS, GCP, Azure)
- Expert in SQL
- You are proficient in one of the following programming languages: C#, Java, Python
- You have 2+ years experience working with a BI reporting tool (eg. Tableau, QlikView, PowerBI, Looker)
- Proficient applier of continuous delivery principles: version control, unit and automated tests
- You are fluent in English, both written and spoken
- You have good analytical and problem solving skills, the ability to work in a fast moving operational environment and you are enthusiastic and with a positive attitude.
Benefits
- Health insurance for the whole family, flexible working environment and well-being support and tools
- Extra days off, sabbatical program and days for you to give back for the community
- Training opportunities and free access to Udemy
- Flexible benefits program
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
SAP Data Engineer supporting MERKUR GROUP in becoming a data - driven company. Responsible for data integration, ETL processes, and collaboration with various departments.
Big Data Engineer designing and managing data applications on Google Cloud. Join Vodafone’s global tech team to optimize data ingestion and processing for machine learning.
Senior Data Engineer at Razer leading initiatives in data engineering and AI infrastructure. Collaborating across teams to develop robust data solutions and enhancing AI/ML projects.
Data Engineering Intern working with data as Jua builds AI for climate and geospatial datasets. Contributing to the integration and validation of new datasets with experienced mentors.
Data Engineer supporting a fintech company in building and maintaining data pipelines. Collaborating with tech teams and enhancing data processing in a high - volume environment.
Staff Engineer developing innovative data solutions for dentsu's B2B marketing vision. Collaborating using cutting - edge cloud technologies and mentoring engineers in their careers.
Senior Data Engineer developing and optimizing data pipelines for Scene+’s cloud - native platform in Toronto. Collaborating across teams to enhance data governance and analytics capabilities.
Data Engineer developing and managing risk management databases for one of the largest banks in Czech Republic. Collaborating on data solutions and processes to enhance risk management.
Data Warehouse Developer II designing and maintaining ETL processes at NCCPA, a certifying organization for physician assistants in the U.S.