Data Engineer
Barcelona ProfessionalOne of our clients is setting up a pioneering team to accelerate the development of new business in Digital.
The mission: Solve manufacturing challenges of leading industrial companies by developing and deploying Analytics heavy SW solutions around Robotics.
About the position
Responsibilities
- Implement techniques to acquire, discover and explore data for analytics.
- POC / POV and prototyping data and analytics solutions and derive viability for scale up.
- Ensure data quality, integrity, security and completeness throughout the data lifecycle.
- Define data validation strategies, pre-processing and feature engineering strategies.
- Test/train and fine tune models and deployment of models in production.
- Work with business stakeholders to understand requirements and business use cases and translating data into metrics, KPI, and solutions.
- Develop deep understanding of the data sources, implement data standards, maintain data quality and master data management.
- Design and develop data services and API.
Requirements
- 4+ years of relevant experience in Computer Science/ Statistical Modelling & Analysis/Operations Research.
- Experience on deployment on analytics solutions on Hybrid platforms: Cloud and/or Edge.
- Experience in analyzing large quantities of data in cloud platform like AWS or Azure eco-system. (Azure preferred)
- Strong experience and exposure in classification, clustering, segmentation, targeted recommendations and managing customer behavior data.
- Handling large internal and external data including social media and other 3rd party datasets to derive valuable insights.
- NoSQL Databases and Big data technologies including Hadoop, MongoDB, and Azure CosmosDB.
- Experience with API / RESTful data services.
- Worked on real-time data capture, processing and storing using technologies like Azure Event Hubs and Streaming Analytics.
- Experience working with different data storage options including AWS S3, Azure BLOB storage etc.
- Understanding of different data formats including Parquet, Avro, CSV, ORC etc.
- Prior experience with MPP databases and maintain large amount of data processing.
- Experience with Azure Data Factory and Azure Data Catalog is a big plus but not mandatory.
- Experience with Microsoft/Azure ETL solutions and business Intelligence technologies is a big plus but not mandatory.
- Past working experience on a fast paced and agile environment.
- Ability to review architecture design and provide direction on system capabilities.
- Perform ongoing monitoring, automation and refinement of data engineering solutions.
- Build and meet project timelines and manage delivery commitments with proper communication to management.
- Collaborate and communicate with key business lines, technology partners, vendors and architects.
Benefits
Permanent contracts. ERNI career path.
Flexibility package:
Flexible working hours.
Home office program*
Friday intensive shift*
Gym for less.
Free language courses (English, Spanish and German).
Private medical insurance with Adeslas.
Flexible pay.
Attractive referral bonus. If needed:
Relocation package.
Transport bonus.
About the recruiter

Cabrera Gómez Maria Luisa (ERNI)
Email: [email protected]