- You will support our customers in obtaining the necessary data easily and transparently in order to develop intelligent data products in different fields (mobility, automotive, industrial, consumer, financial & non-profit organizations).
- You will design, implement, and manage data pipelines for our clients (internal/external).
- You will work on fast paced and innovative projects with the goal to deliver innovative solutions for our customers.
- You will monitor and constantly improve the performance of the pipelines.
- You will support different stakeholders (internal/external) in making the right technology decisions.
- You will gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
- Born digital: Benefit from our many years of experience and our agile up-to-date culture
- Life-Work-Balance: Decide for yourself where and when you work: across locations in the Digital Workspace, part-time, completely flexible, taking a sabbatical – no problem with us.
- Appreciation: We rely on flat hierarchies and are respectful, loyal and appreciative.
- Perspectives: We offer very different and individually tailored career models and a steep learning curve.
- Benefits: In addition to retirement provisions, employee discounts and a wide range of sports activities, we offer great company outings and legendary parties.
- Hybrid Work: We support you in working from home in a healthy and well-equipped manner. Remote onboarding included, of course!
Company
Location
Lisbon - Portugal
Job type
Full-Time
Golang Job Details
Lisboa, Porto
Diconium is a specialist in the fields of data and artificial intelligence. Whether in the areas of search, social and content, personalization and analytics, data engineering or data science - our expertise helps our customers to collect the right data at the right time, to forecast services and offers and thus to make data-driven decisions. Become a part of the diconium data family and support us on our Data & AI journey!
Your duties
Your profile
Must haves:
Python, ETL/ELT, Spark, Amazon Web Services (AWS), Azure, CI/CD, Data Warehouse, relevant working experience of +2 years, suitable degree, English-speaking
Nice to have:
Kafka, Redshift, Database Architecture, Data Architecture, Java, Golang, German-speaking
Our offer
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