FREENOW
Mobility
AIEngineer(Enablement)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Engineer (Enablement) at FREENOW. Skills: Data Mesh, Data Engineering, SQL, Python. Collaborate with cross-functional teams. Understand data requirements”
What You'll Achieve.
Enable seamless flow of data; Ensure data accuracy, consistency, and reliability; Continuously improve data pipelines and processes; Access and query data from data warehouse; Ensure alignment with timelines, objectives and stakeholders
Industry & Context.
Exceptional analytical skills; Lateral thinking; Experience in solving challenging problems; Troubleshoot data related issues; Assist in the resolution of data issues
What They're Looking For.
Must Have
Advanced knowledge of at least one programming language, Expert level of SQL, SparkSQL, Datawarehouse concept, Database, Experience in building data pipelines, Knowledge of distributed system, Knowledge of Lambda, Knowledge of AWS S3, Knowledge of AWS Cloud watch, Fluent proficiency in Business English, Exceptional analytical skills, Lateral thinking, Experience in solving challenging problems
Nice to Have
Experience with AWS, Experience with Hive, Experience with Spark, Experience with Trino, Experience with Databricks, Experience with stream processing frameworks, Experience with Spark structured streaming, Experience with Kafka streams, Experiences in working with Data Visualisation tools, Tableau, Metabase
What You'll Do.
Collaborate with cross-functional teams
Understand data requirements
Design optimal data solutions
Develop scalable data products
Implement scalable data products
Maintain scalable data products
Design data quality monitoring frameworks
Build high-performance APIs
Perform data analysis
Coordinate data engineering projects
Oversee data engineering projects
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams including data analysts, data scientists, and software engineers; Establish very close collaboration between data engineers, data analysts, data scientists and machine learning engineers
Communication Scope
Fluent proficiency in Business English
Process & Methodology
Coordinate and oversee the successful delivery of complex data engineering projects
Full Job Description
Location: We are flexible! Come and join us either in Hamburg, Berlin, Barcelona or Athens. Freenow empowers smarter mobility decisions helping people to move freely and cities to thrive. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun. Are you passionate about data engineering and ready to revolutionize how data is managed and utilized within an organization? We are looking for a skilled and innovative Analytics Engineer to join our dynamic team and help us implement a cutting-edge Data Mesh architecture. At Freenow we believe in data driven decisions that drive our business forward. We are currently transitioning into a data mesh architecture to establish a very close collaboration between data engineers, data analysts, data scientists and machine learning engineers. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to understand data requirements and design optimal data solutions in the Data Mesh environment. Develop, implement, and maintain scalable data products that enable the seamless flow of data from various sources to the Data Mesh architecture. Create and manage data models that cater to the specific needs of data consumers while adhering to data governance and security standards. Design and build data quality monitoring frameworks to ensure data accuracy, consistency, and reliability. Stay updated with the latest industry trends and best practices in Data Engineering and Data Mesh to continuously improve data pipelines and processes. Build high-performance APIs to access and query data from data warehouse. Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Coordinate and oversee the successful delivery of complex data engineering projects, ensuring alignment with
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