FULLREMOTE - Data Engineer/Scientist (Databricks & MLOps)

Capitole Consulting
Spain
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German

Tech stack

Big Data Continuous Integration Data Cleansing Information Engineering Extract Transform Load (ETL) Data Systems Distributed Computing Environment Monitoring of Systems Python (Programming Language) Machine Learning Performance Tuning SQL Databases
+7 more
Azure Data Factory Apache Spark Data Lakes Pyspark Machine Learning Operations Data Pipelines Databricks

Requirements

Capitole Consulting keeps growing and we want to do it with you! We have an exciting opportunity for a Data Engineer / Data Scientist with solid experience in data engineering, Machine Learning and MLOps. The role requires a hands-on and pragmatic professional capable of designing and implementing simple, effective and scalable data and ML solutions within tight deadlines. RESPONSABILITIES: * Design, develop and maintain scalable data pipelines and ETL/ELT processes. * Build and optimize data solutions using Databricks, Python, SQL and Apache Spark. * Develop and support Machine Learning solutions, from data preparation to model deployment. * Contribute to MLOps processes, including model lifecycle management, deployment, monitoring and automation. * Process and analyze large datasets, ensuring data quality, reliability and performance. * Collaborate with Data Scientists, Engineers, Analysts and business stakeholders. * Quickly translate business and technical needs into pragmatic and effective solutions. REQUIREMENTS: * Professional experience as a Data Engineer, Data Scientist or similar role. * Hands-on experience with Databricks and distributed data processing. * Strong knowledge of Python and SQL. * Experience with Machine Learning and implementation of ML solutions. * Knowledge and practical experience with MLOps principles and model lifecycle management. * Experience building and maintaining data pipelines / ETL-ELT processes. * Strong problem-solving skills and a pragmatic, delivery-oriented mindset. * Ability to implement effective solutions within tight deadlines. NICE TO HAVE: * Experience with Apache Spark / PySpark. * Knowledge of Azure Data Factory, Delta Lake and Azure data services. * Experience with CI/CD applied to Data and ML environments. * Experience with model monitoring, deployment and performance optimization. * Previous experience in international and multicultural teams. English: C1 German: Desirable We’re

Benefits & conditions

great, but with you we’ll be even better! For this you will have: - Budget of 1.200€ in individual training for you to use it in whatever you want (technological events, books, trainings, certifications, etc.). - Follow-up with your team every month for continuous feedback. - Teleworking. - Flexible working hours to help you reconcile your professional / family life. - Private medical insurance paid in full by Capitole. - Flexible remuneration (restaurant tickets, transport and/or childcare). - WellHub (Gymforless). - Discounts on major brands for employees (Club Capitole). Get to know the whole family: - Team Buildings every two months - don’t miss the summer party or the Christmas dinner! - Football team sponsored by Capitole. - Technological communities for you to share your knowledge and ideas with the other teams, sharing internal knowledge is essential!!!! - Last but not least, a TEAM! Don’t you know us yet? Discover us!!!

About the company

https://capitole-consulting.com/ See what people are saying about us https://www.glassdoor.es/Opiniones/Capitole-Consulting-Opiniones-E2060890.html Don’t hesitate to send us your profile, we are looking forward to meeting you! The employee will adhere to information security policies: - Will have access to confidential information related to Capitole and the project they are working on. - Must comply with the security policies and internal policies of the company and the client. - Must sign an NDA.

Apply for this position

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Apply on capitole.plusats.com
Prepare application

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