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Change Manager
Must have skills: In-depth knowledge and hands-on experience in designing solutions in Azure./Databricks services. Knowledge and experience in Databricks with Pyspark. Experience in designing data ingestion, data…
AWS & Devops Developer
Builds and deploys AWS-based applications using CloudFormation, Python, and PySpark, with a focus on DevOps practices and AWS data analytics tools like EMR and Glue.
AWS & Devops Developer Primary is AWS
Builds and deploys AWS-based applications using CloudFormation and Python, with DevOps practices and data engineering (PySpark, EMR, Glue).
Data Engineer (DataBricks)
Build and maintain data pipelines using PySpark, Python, and Azure Databricks; enforce governance in Unity Catalog and SQL Server; validate data quality and automate workflows.
Data Engineer CT
Build and modernise cloud-native data platforms and pipelines for clients, using Python, SQL, and tools like Azure/AWS/GCP and Databricks.
Data Engineer - JHB - Intermediate
Build and optimize cloud-native data platforms and pipelines for clients using Python, SQL, and tools like Azure Data Factory, Databricks, and Snowflake.
Senior Business Intelligence Developer
Er du klar til at tage næste skridt i din karriere og være med til at videreudvikle en moderne dataplatform, der understøtter Danmarks største udbyder af sundhedsforsikringer? Har du solid erfaring med Business…
Data Scientist
Build and deploy ML models in Python/SQL, from experimentation to production, using MLOps and A/B testing to drive business impact.
Data Engineer
Build and optimize PySpark pipelines for a financial-services client, integrating large datasets and deploying scalable batch/streaming workloads on cloud platforms.
Senior Data Engineer
Senior Data Engineer at JLL designing and building AI-powered, automated data frameworks and cloud-native solutions using Azure, Python, and Spark to drive real estate technology and business outcomes.
Data Engineer
Build and maintain ML pipelines, deploy models, and curate data for analytics using Python, PySpark, SQL, and MLOps tools to support insurance-focused AI solutions.
Senior Data Engineer(Databricks)
Senior Data Engineer builds and migrates Databricks-based lakehouse pipelines for a global asset manager, using PySpark, Delta Lake, and Unity Catalog to deliver curated data products on Azure.
Analytics Engineer | Business Analytics & Data Quality
Builds and maintains data pipelines, KPIs, and ML models using Python, SQL, Databricks, and PySpark to turn raw data into business insights and decisions.
Analytics Engineer | Business Analytics & Data Quality - marbella
Build and maintain data pipelines and models using Python, SQL, PySpark and Databricks to turn raw data into KPIs and business insights for a product-focused team.
Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA - valència
Senior Data & AI Engineer / MLOps Engineer to industrialize AI solutions, deploying ML models and LLM agents into production while ensuring data pipelines, security, and governance meet enterprise standards.
Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA
Senior Data & AI Engineer / MLOps Engineer to industrialize AI solutions, deploying ML models and LLM agents into production while ensuring data pipelines, security, and governance meet financial-sector standards.
Consultor Data Engineering
Freelance data engineer builds and maintains cloud-based data pipelines using AWS, PySpark, Python, SQL, and Airflow to ensure reliable data delivery for an international client.
Cloud Data Engineer AWS/Azure - Zaragoza, Huesca, Vigo, Coruña o Sevilla
Designs and builds cloud data pipelines on AWS/Azure for large-scale analytics and AI projects, using PySpark, SQL, and ETL workflows.
Data Engineer especialista en Databricks - Zaragoza, Huesca, Sevilla, Coruña o Vigo
Build and optimize large-scale data pipelines on Databricks and cloud platforms for AI/ML projects, using PySpark, SQL, and cloud services like AWS/Azure.
Senior Data Engineer (AWS)
Build and maintain cloud-based data platforms on AWS, designing batch and real-time pipelines with PySpark, Python, and SQL to support analytics and ML workloads.